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In the following of this page, the list of all KDDE publications is reported. It is possible to add filters to the list by using the following form. The type field contains the same types in the legend on the left, whereas the venue field indicates the journal, the conference or the book in which the publication appears. As for the authors, it is possible to select up to 4 co-authors, among KDDE members, in order to show publications published by the same authors. If one author is selected only the publications of that author will be shown. The year filters can be used to select papers published between a certain period of time. "Start year" can be greater than "End year" and vice versa, whereas if only one year field is selected (start or end is not relevant), only papers published in the selected year will be shown. Finally, the "Title keywords" field can be used to show papers containing a certain word (or words) within the title of the publications.

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2024-04-14 12:35:48

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2024
Natale Amato, Berardina De Carolis, Francesco de Gioia, Mario Nicola Venezia, Giuseppe Palestra, Corrado Loglisci:
Can an AI-driven VTuber engage People? The KawAIi Case Study (short paper). IUI Workshops (2024)
DOI: https://ceur-ws.org/Vol-3660/paper21.pdf
Lucas P. Damasceno, Egzona Rexhepi, Allison Shafer, Ian Whitehouse, Nathalie Japkowicz, Charles C. Cavalcante, Roberto Corizzo, Zois Boukouvalas:
Exploiting sparsity and statistical dependence in multivariate data fusion: an application to misinformation detection for high-impact events. Mach. Learn. 113(4): 2183-2205 (2024)
DOI: https://doi.org/10.1007/s10994-023-06424-8
Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo:
Towards efficient deep autoencoders for multivariate time series anomaly detection. CoRR (2024)
DOI: https://doi.org/10.48550/arXiv.2403.02429
Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Nathalie Japkowicz:
Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights. IEEE Access 12: 41364-4138 (2024)
DOI: https://doi.org/10.1109/ACCESS.2024.3377690
Roberto Corizzo, Jacob Rosen:
Stock market prediction with time series data and news headlines: a stacking ensemble approach. J. Intell. Inf. Syst. 62(1): 27-56 (2024)
DOI: https://doi.org/10.1007/s10844-023-00804-1
Dhanush Kikkisetti, Raza Ul-Mustafa, Wendy Melillo, Roberto Corizzo, Zois Boukouvalas, Jeff Gill, Nathalie Japkowicz:
Using LLMs to discover emerging coded antisemitic hate-speech in extremist social media. CoRR (2024)
DOI: https://doi.org/10.48550/arXiv.2401.10841


2023
Angelo Impedovo, Giuseppe Rizzo, Antonio Di Mauro:
Towards Open-Set Contract Clause Recognition. IEEE Big Data: 2767-2776 (2023)
DOI: https://doi.org/10.1109/BigData59044.2023.10386681
Roberto Corizzo, Nora Lewis, Lucas P. Damasceno, Allison Shafer, Charles C. Cavalcante, Zois Boukouvalas:
Multimodal One-class Learning for Malicious Online Content Detection. IEEE Big Data: 2146-2151 (2023)
DOI: https://doi.org/10.1109/BigData59044.2023.10386920
Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba:
PANACEA: A Neural Model Ensemble for Cyber-Threat Detection. DSAA: 1-2 (2023)
DOI: https://doi.org/10.1109/DSAA60987.2023.10302518
Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Nathalie Japkowicz:
VLAD: Task-agnostic VAE-based lifelong anomaly detection. Neural Networks 165: 248-273 (2023)
DOI: https://doi.org/10.1016/j.neunet.2023.05.032
Roberto Corizzo, Sebastian Leal-Arenas:
One-GPT: A One-Class Deep Fusion Model for Machine-Generated Text Detection. IEEE Big Data: 5743-5752 (2023)
DOI: https://doi.org/10.1109/BigData59044.2023.10386674
Kamil Faber, Bartlomiej Sniezynski, Roberto Corizzo:
Distributed Continual Intrusion Detection: A Collaborative Replay Framework. IEEE Big Data: 3255-3263 (2023)
DOI: https://doi.org/10.1109/BigData59044.2023.10386211
Ian Whitehouse, Rodrigo Yepez-Lopez, Roberto Corizzo:
Distributed Concept Drift Detection for Efficient Model Adaptation with Big Data Streams. IEEE Big Data: 5392-5397 (2023)
DOI: https://doi.org/10.1109/BigData59044.2023.10386334
Corrado Loglisci, Donato Malerba:
Coupling quantum classification and quantum distance estimation in continual learning. AIQxQIA@AI*IA (2023)
DOI: https://ceur-ws.org/Vol-3586/paper1.pdf
Massimo Bilancia, Michele Di Nanni, Fabio Manca, Gianvito Pio:
Variational Bayes estimation of hierarchical Dirichlet-multinomial mixtures for text clustering. Comput. Stat. 38(4): 2015-2051 (2023)
DOI: https://doi.org/10.1007/s00180-023-01350-8
Giuseppina Andresini, Annalisa Appice, Donato Malerba:
$\mathsf{SILVIA}$: An eXplainable Framework to Map Bark Beetle Infestation in Sentinel-2 Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 10050-1006 (2023)
DOI: https://doi.org/10.1109/JSTARS.2023.3312521
Giuseppe Rizzo, Angelo Impedovo:
Supplier qualification document recognition through open-set recognition. DSAA: 1-10 (2023)
DOI: https://doi.org/10.1109/DSAA60987.2023.10302610
Dominik Zurek, Roberto Corizzo, Michal Karwatowski, Marcin Pietron, Kamil Faber:
Transformed-*: A domain-incremental lifelong learning scenario generation framework. IJCNN: 1-10 (2023)
DOI: https://doi.org/10.1109/IJCNN54540.2023.10191200
Giuseppina Andresini, Annalisa Appice, Pasquale Ardimento, Andrea Antonio Brunetta, Antonio Giuseppe Doronzo, Giuseppe Ieva, Francesco Luce, Donato Malerba, Vincenzo Pasquadibisceglie:
CENTAURO: An Explainable AI Approach for Customer Loyalty Prediction in Retail Sector. AI*IA: 205-217 (2023)
DOI: https://doi.org/10.1007/978-3-031-47546-7_14
Filippo Lorè, Pierpaolo Basile, Annalisa Appice, Marco de Gemmis, Donato Malerba, Giovanni Semeraro:
An AI framework to support decisions on GDPR compliance. J. Intell. Inf. Syst. 61(2): 541-568 (2023)
DOI: https://doi.org/10.1007/s10844-023-00782-4
Lucas P. Damasceno, Egzona Rexhepi, Allison Shafer, Ian Whitehouse, Charles C. Cavalcante, Roberto Corizzo, Zois Boukouvalas:
Independent Vector Analysis with Sparse Inverse Covariance Estimation: An Application to Misinformation Detection. MLSP: 1-6 (2023)
DOI: https://doi.org/10.1109/MLSP55844.2023.10285970
Roberto Corizzo, Gianvito Pio, Emanuele Pio Barracchia, Antonio Pellicani, Nathalie Japkowicz, Michelangelo Ceci:
HURI: Hybrid user risk identification in social networks. World Wide Web (WWW) 26(5): 3409-3439 (2023)
DOI: https://doi.org/10.1007/s11280-023-01192-w
Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo:
Ada-QPacknet - Multi-Task Forget-Free Continual Learning with Quantization Driven Adaptive Pruning. ECAI: 1882-1889 (2023)
DOI: https://doi.org/10.3233/FAIA230477
Massimiliano Altieri, Michelangelo Ceci, Roberto Corizzo:
Explainable Spatio-Temporal Graph Modeling. DS: 174-188 (2023)
DOI: https://doi.org/10.1007/978-3-031-45275-8_12
Giuseppina Andresini, Annalisa Appice, Roberto Gasbarro, Donato Malerba:
GLORIA: A Graph Convolutional Network-Based Approach for Review Spam Detection. DS: 111-125 (2023)
DOI: https://doi.org/10.1007/978-3-031-45275-8_8
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba:
DARWIN : An online deep learning approach to handle concept drifts in predictive process monitoring. Eng. Appl. Artif. Intell. 123: 106461 (2023)
DOI: https://doi.org/10.1016/j.engappai.2023.106461
Rosa Porro, Thomas Ercole, Giuseppe Pipitò, Gennaro Vessio, Corrado Loglisci:
Predicting Investor Behavior and Investment Patterns in Equity and Lending Crowdfunding Campaigns. SEBD: 583-594 (2023)
DOI: https://ceur-ws.org/Vol-3478/paper43.pdf
Berardina De Carolis, Corrado Loglisci, Monitillo Giuseppe, Katya Trufanova:
Analyzing Stress Responses Related to Usability of User Interfaces. CHItaly: 5:1-5:9 (2023)
DOI: https://doi.org/10.1145/3605390.3605399
Marco Anisetti, Angela Bonifati, Nicola Bena, Claudio A. Ardagna, Donato Malerba:
Proceedings of the 1st Italian Conference on Big Data and Data Science (itaDATA 2022), Milan, Italy, September 20-21, 2022. itaDATA CEUR Workshop Proceedings 3340, CEUR-WS.org (2023)
DOI: https://ceur-ws.org/Vol-3340
Corrado Loglisci, Ivan Diliso, Donato Malerba:
A Hybrid Quantum-Classical Framework for Binary Classification in Online Learning. SEBD: 88-99 (2023)
DOI: https://ceur-ws.org/Vol-3478/paper79.pdf
Antonio Pellicani, Gianvito Pio, Michelangelo Ceci:
A Multi-Perspective Approach for Risky User Identification in Social Networks. SEBD: 665-673 (2023)
DOI: https://ceur-ws.org/Vol-3478/paper32.pdf
Gianluca Calo', Francesco Massafra, Berardina De Carolis, Corrado Loglisci:
Emotion Hunters at EMit: Categorical Emotion Detection combining BERT and ChatGPT models (short paper). EVALITA (2023)
DOI: https://ceur-ws.org/Vol-3473/paper2.pdf
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Nicola Fiorentino, Donato Malerba:
STARDUST: A Novel Process Mining Approach to Discover Evolving Models From Trace Streams. IEEE Trans. Serv. Comput. 16(4): 2970-2984 (2023)
DOI: https://doi.org/10.1109/TSC.2022.3215502
Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo:
Ada-QPacknet - adaptive pruning with bit width reduction as an efficient continual learning method without forgetting. CoRR (2023)
DOI: https://doi.org/10.48550/arXiv.2308.07939
Roberto Corizzo, Sebastian Leal-Arenas:
A Deep Fusion Model for Human $vs$. Machine-Generated Essay Classification. IJCNN: 1-10 (2023)
DOI: https://doi.org/10.1109/IJCNN54540.2023.10191322
Serena De Ruvo, Gianvito Pio, Gennaro Vessio, Vincenzo Volpe:
Forecasting and what-if analysis of new positive COVID-19 cases during the first three waves in Italy. Medical Biol. Eng. Comput. 61(8): 2051-2066 (2023)
DOI: https://doi.org/10.1007/s11517-023-02831-0
Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo:
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection. CoRR (2023)
DOI: https://doi.org/10.48550/arXiv.2305.16497
Graziella De Martino, Gianvito Pio, Michelangelo Ceci:
Multi-view overlapping clustering for the identification of the subject matter of legal judgments. Inf. Sci. 638: 118956 (2023)
DOI: https://doi.org/10.1016/j.ins.2023.118956
Giuseppina Andresini, Annalisa Appice:
Editorial: AI meets cybersecurity. J. Intell. Inf. Syst. 60(2): 277-279 (2023)
DOI: https://doi.org/10.1007/s10844-022-00767-9
Kamil Faber, Dominik Zurek, Marcin Pietron, Nathalie Japkowicz, Antonio Vergari, Roberto Corizzo:
From MNIST to ImageNet and Back: Benchmarking Continual Curriculum Learning. CoRR (2023)
DOI: https://doi.org/10.48550/arXiv.2303.11076
Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Nathalie Japkowicz:
Lifelong Learning for Anomaly Detection: New Challenges, Perspectives, and Insights. CoRR (2023)
DOI: https://doi.org/10.48550/arXiv.2303.07557
Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I PKDD/ECML Workshops (1) Communications in Computer and Information Science 1752, Springer (2023), ISBN: 978-3-031-23618-1
DOI: https://doi.org/10.1007/978-3-031-23618-1
Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II PKDD/ECML Workshops (2) Communications in Computer and Information Science 1753, Springer (2023), ISBN: 978-3-031-23633-4
DOI: https://doi.org/10.1007/978-3-031-23633-4
Antonio Pellicani, Gianvito Pio, Domenico Redavid, Michelangelo Ceci:
SAIRUS: Spatially-aware identification of risky users in social networks. Inf. Fusion 92: 435-449 (2023)
DOI: https://doi.org/10.1016/j.inffus.2022.11.029
Giuseppina Andresini, Annalisa Appice, Dino Ienco, Donato Malerba:
SENECA: Change detection in optical imagery using Siamese networks with Active-Transfer Learning. Expert Syst. Appl. 214: 119123 (2023)
DOI: https://doi.org/10.1016/j.eswa.2022.119123
Valeria Merlo, Gianvito Pio, Francesco Giusto, Massimo Bilancia:
On the exploitation of the blockchain technology in the healthcare sector: A systematic review. Expert Syst. Appl. 213: 118897 (2023)
DOI: https://doi.org/10.1016/j.eswa.2022.118897


2022
Giuseppina Andresini, Andrea Iovine, Roberto Gasbarro, Marco Lomolino, Marco de Gemmis, Annalisa Appice:
Review Spam Detection using Multi-View Deep Learning Combining Content and Behavioral Features. itaDATA: 87-98 (2022)
DOI: https://ceur-ws.org/Vol-3340/paper32.pdf
Paolo Mignone, Donato Malerba, Michelangelo Ceci:
Anomaly Detection for Physical Threat Intelligence. itaDATA: 39-50 (2022)
DOI: https://ceur-ws.org/Vol-3340/paper38.pdf
Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco J. Gallardo, Tyler L. Hayes, Cameron E. Taylor, Mustafa Burak Gurbuz, James Seale Smith, Sahana Pramod Joshi, Nathalie Japkowicz, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael Piacentino, Jesse Hostetler, Aswin Raghavan:
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. AIMLSystems: 12:1-12:9 (2022)
DOI: https://doi.org/10.1145/3564121.3565236
Angelo Impedovo, Emanuele Pio Barracchia, Giuseppe Rizzo:
Intelligent Robotic Process Automation for Supplier Document Management on E-Procurement Platforms. LOD (1): 156-166 (2022)
DOI: https://doi.org/10.1007/978-3-031-25599-1_12
Zachary Alan Daniels, Aswin Raghavan, Jesse Hostetler, Abrar Rahman, Indranil Sur, Michael Piacentino, Ajay Divakaran, Roberto Corizzo, Kamil Faber, Nathalie Japkowicz, Michael Baron, James Seale Smith, Sahana Pramod Joshi, Zsolt Kira, Cameron Ethan Taylor, Mustafa Burak Gurbuz, Constantine Dovrolis, Tyler L. Hayes, Christopher Kanan, Jhair Gallardo:
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. CoLLAs: 1120-1145 (2022)
DOI: https://proceedings.mlr.press/v199/daniels22a.html
Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Nathalie Japkowicz:
Active Lifelong Anomaly Detection with Experience Replay. DSAA: 1-10 (2022)
DOI: https://doi.org/10.1109/DSAA54385.2022.10032405
Paolo Mignone, Donato Malerba, Michelangelo Ceci:
Anomaly Detection for Physical Threat Intelligence. PKDD/ECML Workshops (1): 281-292 (2022)
DOI: https://doi.org/10.1007/978-3-031-23618-1_20
Massimiliano Altieri, Roberto Corizzo, Michelangelo Ceci:
Scalable Forecasting in Sensor Networks with Graph Convolutional LSTM Models. Big Data: 4595-4600 (2022)
DOI: https://doi.org/10.1109/BigData55660.2022.10020456
Roberto Corizzo, Terry Slenn:
Distributed Node Classification with Graph Attention Networks. Big Data: 3720-3725 (2022)
DOI: https://doi.org/10.1109/BigData55660.2022.10020664
Roberto Corizzo, Rodrigo Yepez-Lopez, Sébastien Gilbert, Nathalie Japkowicz:
LSTM-based Pulmonary Air Leak Forecasting for Chest Tube Management. Big Data: 5217-5222 (2022)
DOI: https://doi.org/10.1109/BigData55660.2022.10020874
Leah Ding, Roberto Corizzo, Colin Bellinger, Nancy Ching, Spencer Login, Rodrigo Yepez-Lopez, Jie Gong, Dong L. Wu:
Imbalanced Multi-layer Cloud Classification with Advanced Baseline Imager (ABI) and CloudSat/CALIPSO Data. Big Data: 5902-5909 (2022)
DOI: https://doi.org/10.1109/BigData55660.2022.10020783
Paolo Mignone, Donato Malerba, Michelangelo Ceci:
Anomaly Detection for Public Transport and Air Pollution Analysis. Big Data: 2867-2874 (2022)
DOI: https://doi.org/10.1109/BigData55660.2022.10020470
Paolo Mignone, Gianvito Pio, Michelangelo Ceci:
Distributed Heterogeneous Transfer Learning for Link Prediction in the Positive Unlabeled Setting. Big Data: 5536-5541 (2022)
DOI: https://doi.org/10.1109/BigData55660.2022.10020270
Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba:
An XAI-based adversarial training approach for cyber-threat detection. DASC/PiCom/CBDCom/CyberSciTech: 1-8 (2022)
DOI: https://doi.org/10.1109/DASC/PiCom/CBDCom/Cy55231.2022.9927842
Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco J. Gallardo, Tyler L. Hayes, Cameron E. Taylor, Mustafa Burak Gurbuz, James Seale Smith, Sahana Joshi, Nathalie Japkowicz, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael R. Piacentino, Jesse Hostetler, Aswin Raghavan:
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. CoRR (2022)
DOI: https://doi.org/10.48550/arXiv.2212.04603
Gabriella Casalino, Giovanna Castellano, Andrea Nisio, Vincenzo Pasquadibisceglie, Gianluca Zaza:
A mobile app for contactless measurement of vital signs through remote Photoplethysmography. SMC: 2675-2680 (2022)
DOI: https://doi.org/10.1109/SMC53654.2022.9945406
Angelo Impedovo, Emanuele Pio Barracchia, Giuseppe Rizzo:
Exploiting Named Entity Recognition for Information Extraction from Italian Procurement Documents: A Case Study. iiWAS: 60-74 (2022)
DOI: https://doi.org/10.1007/978-3-031-21047-1_5
Annunziata D'Aversa, Stefano Polimena, Gianvito Pio, Michelangelo Ceci:
Leveraging Spatio-Temporal Autocorrelation to Improve the Forecasting of the Energy Consumption in Smart Grids. DS: 141-156 (2022)
DOI: https://doi.org/10.1007/978-3-031-18840-4_11
Vincenzo Pasquadibisceglie:
Predictive Process Mining for Improving Business Process Management. BPM (PhD/Demos): 10-14 (2022)
DOI: http://ceur-ws.org/Vol-3216/paper_127.pdf
Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Michael Baron, Nathalie Japkowicz:
LIFEWATCH: Lifelong Wasserstein Change Point Detection. IJCNN: 1-8 (2022)
DOI: https://doi.org/10.1109/IJCNN55064.2022.9892891
Myles Russell, Dylan Russell, Roberto Corizzo, Nathalie Japkowicz:
Machine Learning for Surgical Risk Assessment Decision Systems. IJCNN: 1-8 (2022)
DOI: https://doi.org/10.1109/IJCNN55064.2022.9892752
Michelangelo Ceci, Sergio Flesca, Elio Masciari, Giuseppe Manco, Zbigniew W. Ras:
Foundations of Intelligent Systems - 26th International Symposium, ISMIS 2022, Cosenza, Italy, October 3-5, 2022, Proceedings ISMIS Lecture Notes in Computer Science 13515, Springer (2022), ISBN: 978-3-031-16564-1
DOI: https://doi.org/10.1007/978-3-031-16564-1
Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba:
XAI to Explore Robustness of Features in Adversarial Training for Cybersecurity. ISMIS: 117-126 (2022)
DOI: https://doi.org/10.1007/978-3-031-16564-1_12
Graziella De Martino, Gianvito Pio:
Identification of Paragraph Regularities in Legal Judgements Through Clustering and Textual Embedding. ISMIS: 74-84 (2022)
DOI: https://doi.org/10.1007/978-3-031-16564-1_8
Graziella De Martino, Gianvito Pio, Michelangelo Ceci:
PRILJ: an efficient two-step method based on embedding and clustering for the identification of regularities in legal case judgments. Artif. Intell. Law 30(3): 359-390 (2022)
DOI: https://doi.org/10.1007/s10506-021-09297-1
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba:
A multi-view deep learning approach for predictive business processes monitoring. SERVICES: 26 (2022)
DOI: https://doi.org/10.1109/SERVICES55459.2022.00039
Paolo Mignone, Gianvito Pio, Michelangelo Ceci:
Distributed Heterogeneous Transfer Learning. SEBD: 351-358 (2022)
DOI: http://ceur-ws.org/Vol-3194/paper42.pdf
Matej Petkovic, Michelangelo Ceci, Gianvito Pio, Blaz Skrlj, Kristian Kersting, Saso Dzeroski:
Relational tree ensembles and feature rankings. Knowl. Based Syst. 251: 109254 (2022)
DOI: https://doi.org/10.1016/j.knosys.2022.109254
Roberto Corizzo, Junfeng Ge, Colin Bellinger, Xiaoqiang Zhu, Paula Branco, Kuang-chih Lee, Nathalie Japkowicz, Ruiming Tang, Tao Zhuang, Han Zhu, Biye Jiang, Jiaxin Mao, Weinan Zhang:
4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022. KDD: 4860-4861 (2022)
DOI: https://doi.org/10.1145/3534678.3542896
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba:
A Multi-View Deep Learning Approach for Predictive Business Process Monitoring. IEEE Trans. Serv. Comput. 15(4): 2382-2395 (2022)
DOI: https://doi.org/10.1109/TSC.2021.3051771
Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski:
Semi-supervised Predictive Clustering Trees for (Hierarchical) Multi-label Classification. CoRR (2022)
DOI: https://doi.org/10.48550/arXiv.2207.09237
Emanuele Pio Barracchia, Gianvito Pio, Albert Bifet, Heitor Murilo Gomes, Bernhard Pfahringer, Michelangelo Ceci:
LP-ROBIN: Link prediction in dynamic networks exploiting incremental node embedding. Inf. Sci. 606: 702-721 (2022)
DOI: https://doi.org/10.1016/j.ins.2022.05.079
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Wil M. P. van der Aalst:
PROMISE: Coupling predictive process mining to process discovery. Inf. Sci. 606: 250-271 (2022)
DOI: https://doi.org/10.1016/j.ins.2022.05.052
Roberto Corizzo, Michael Baron, Nathalie Japkowicz:
CPDGA: Change point driven growing auto-encoder for lifelong anomaly detection. Knowl. Based Syst. 247: 108756 (2022)
DOI: https://doi.org/10.1016/j.knosys.2022.108756
Giuseppina Andresini, Annalisa Appice, Francesco Paolo Caforio, Donato Malerba, Gennaro Vessio:
ROULETTE: A neural attention multi-output model for explainable Network Intrusion Detection. Expert Syst. Appl. 201: 117144 (2022)
DOI: https://doi.org/10.1016/j.eswa.2022.117144
Giuseppina Andresini, Annalisa Appice, Daniele Iaia, Donato Malerba, Nicolò Taggio, Antonello Aiello:
Leveraging autoencoders in change vector analysis of optical satellite images. J. Intell. Inf. Syst. 58(3): 433-452 (2022)
DOI: https://doi.org/10.1007/s10844-021-00670-9
Gianvito Pio, Paolo Mignone, Giuseppe Magazzù, Guido Zampieri, Michelangelo Ceci, Claudio Angione:
Integrating genome-scale metabolic modelling and transfer learning for human gene regulatory network reconstruction. Bioinform. 38(2): 487-493 (2022)
DOI: https://doi.org/10.1093/bioinformatics/btab647
Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Michael Baron, Nathalie Japkowicz:
WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data. CoRR (2022)
DOI: https://arxiv.org/abs/2201.07125


2021
Giuseppina Andresini, Annalisa Appice, Domenico Dell'Olio, Donato Malerba:
Siamese Networks with Transfer Learning for Change Detection in Sentinel-2 Images. AI*IA: 478-489 (2021)
DOI: https://doi.org/10.1007/978-3-031-08421-8_33
Angelo Impedovo, Emanuele Pio Barracchia, Giuseppe Rizzo, Andrea Caprera, Elena Landrò:
EPICS: Pursuing the Quest for Smart Procurement with Artificial Intelligence. AIABI@AI*IA (2021)
DOI: http://ceur-ws.org/Vol-3102/paper3.pdf
Annalisa Appice:
Keynote 4. SDS: 1 (2021)
DOI: https://doi.org/10.1109/SDS54264.2021.9732090
Annalisa Appice:
AI meets Cybersecurity. FMEC: 1 (2021)
DOI: https://doi.org/10.1109/FMEC54266.2021.9732573
Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I PKDD/ECML Workshops (1) Communications in Computer and Information Science 1524, Springer (2021), ISBN: 978-3-030-93736-2
DOI: https://doi.org/10.1007/978-3-030-93736-2
Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II PKDD/ECML Workshops (2) Communications in Computer and Information Science 1525, Springer (2021), ISBN: 978-3-030-93733-1
DOI: https://doi.org/10.1007/978-3-030-93733-1
Malik Al-Essa, Annalisa Appice:
Dealing with Imbalanced Data in Multi-class Network Intrusion Detection Systems Using XGBoost. PKDD/ECML Workshops (2): 5-21 (2021)
DOI: https://doi.org/10.1007/978-3-030-93733-1_1
Roberto Corizzo, Yohan Dauphin, Colin Bellinger, Eftim Zdravevski, Nathalie Japkowicz:
Explainable image analysis for decision support in medical healthcare. IEEE BigData: 4667-4674 (2021)
DOI: https://doi.org/10.1109/BigData52589.2021.9671335
Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Michael Baron, Nathalie Japkowicz:
WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data. IEEE BigData: 4450-4459 (2021)
DOI: https://doi.org/10.1109/BigData52589.2021.9671962
Kushankur Ghosh, Colin Bellinger, Roberto Corizzo, Bartosz Krawczyk, Nathalie Japkowicz:
On the combined effect of class imbalance and concept complexity in deep learning. IEEE BigData: 4859-4868 (2021)
DOI: https://doi.org/10.1109/BigData52589.2021.9672056
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba:
Leveraging Multi-view Deep Learning for Next Activity Prediction. ITBPM@BPM: 1-6 (2021)
DOI: http://ceur-ws.org/Vol-2952/paper_290a.pdf
Giuseppina Andresini, Feargus Pendlebury, Fabio Pierazzi, Corrado Loglisci, Annalisa Appice, Lorenzo Cavallaro:
INSOMNIA: Towards Concept-Drift Robustness in Network Intrusion Detection. AISec@CCS: 111-122 (2021)
DOI: https://doi.org/10.1145/3474369.3486864
Vincenzo Pasquadibisceglie, Giovanna Castellano, Annalisa Appice, Donato Malerba:
FOX: a neuro-Fuzzy model for process Outcome prediction and eXplanation. ICPM: 112-119 (2021)
DOI: https://doi.org/10.1109/ICPM53251.2021.9576678
Annalisa Appice, Sergio Escalera, José A. Gámez, Heike Trautmann:
Introduction to the special issue of the ECML PKDD 2021 journal track. Data Min. Knowl. Discov. 35(6): 2540-2541 (2021)
DOI: https://doi.org/10.1007/s10618-021-00792-2
Annalisa Appice, Sergio Escalera, José A. Gámez, Heike Trautmann:
Introduction to the special issue of the ECML PKDD 2021 journal track. Mach. Learn. 110(10): 2991-2992 (2021)
DOI: https://doi.org/10.1007/s10994-021-06062-y
Annalisa Appice, Angelo Cannarile, Antonella Falini, Donato Malerba, Francesca Mazzia, Cristiano Tamborrino:
Leveraging colour-based pseudo-labels to supervise saliency detection in hyperspectral image datasets. J. Intell. Inf. Syst. 57(3): 423-446 (2021)
DOI: https://doi.org/10.1007/s10844-021-00656-7
Sibylle Hess, Gianvito Pio, Michiel E. Hochstenbach, Michelangelo Ceci:
BROCCOLI: overlapping and outlier-robust biclustering through proximal stochastic gradient descent. Data Min. Knowl. Discov. 35(6): 2542-2576 (2021)
DOI: https://doi.org/10.1007/s10618-021-00787-z
Daniela Mazzolini, Paolo Mignone, Patrizia Pavan, Gennaro Vessio:
An easy-to-explain decision support framework for forensic analysis of dynamic signatures. Digit. Investig. 38: 301216 (2021)
DOI: https://doi.org/10.1016/j.fsidi.2021.301216
Giuseppina Andresini, Annalisa Appice, Donato Malerba:
A Two-Step Network Intrusion Detection System for Multi-Class Classification (Discussion Paper). SEBD: 259-266 (2021)
DOI: http://ceur-ws.org/Vol-2994/paper27.pdf
Graziella De Martino, Gianvito Pio, Michelangelo Ceci:
A Two-Step Method based on Embedding and Clustering to Identify Regularities in Legal Case Judgements (Discussion Paper). SEBD: 379-386 (2021)
DOI: http://ceur-ws.org/Vol-2994/paper42.pdf
Giuseppina Andresini, Annalisa Appice, Corrado Loglisci, Vincenzo Belvedere, Domenico Redavid, Donato Malerba:
A Network Intrusion Detection System for Concept Drifting Network Traffic Data. DS: 111-121 (2021)
DOI: https://doi.org/10.1007/978-3-030-88942-5_9
Francesco Paolo Caforio, Giuseppina Andresini, Gennaro Vessio, Annalisa Appice, Donato Malerba:
Leveraging Grad-CAM to Improve the Accuracy of Network Intrusion Detection Systems. DS: 385-400 (2021)
DOI: https://doi.org/10.1007/978-3-030-88942-5_30
Roberto Corizzo, Michelangelo Ceci, Gianvito Pio, Paolo Mignone, Nathalie Japkowicz:
Spatially-Aware Autoencoders for Detecting Contextual Anomalies in Geo-Distributed Data. DS: 461-471 (2021)
DOI: https://doi.org/10.1007/978-3-030-88942-5_36
Marjana Prifti Skenduli, Marenglen Biba, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Mining emotion-aware sequential rules at user-level from micro-blogs. J. Intell. Inf. Syst. 57(2): 369-394 (2021)
DOI: https://doi.org/10.1007/s10844-021-00647-8
Colin Bellinger, Roberto Corizzo, Nathalie Japkowicz:
Calibrated Resampling for Imbalanced and Long-Tails in Deep Learning. DS: 242-252 (2021)
DOI: https://doi.org/10.1007/978-3-030-88942-5_19
Bartosz Krawczyk, Colin Bellinger, Roberto Corizzo, Nathalie Japkowicz:
Undersampling with Support Vectors for Multi-Class Imbalanced Data Classification. IJCNN: 1-7 (2021)
DOI: https://doi.org/10.1109/IJCNN52387.2021.9533379
Filippo Lanubile, Fabio Calefato, Luigi Quaranta, Maddalena Amoruso, Fabio Fumarola, Michele Filannino:
Towards Productizing AI/ML Models: An Industry Perspective from Data Scientists. WAIN@ICSE: 129-132 (2021)
DOI: https://doi.org/10.1109/WAIN52551.2021.00027
Kushankur Ghosh, Colin Bellinger, Roberto Corizzo, Bartosz Krawczyk, Nathalie Japkowicz:
On the combined effect of class imbalance and concept complexity in deep learning. CoRR (2021)
DOI: https://arxiv.org/abs/2107.14194
Giuseppina Andresini, Annalisa Appice, Luca De Rose, Donato Malerba:
GAN augmentation to deal with imbalance in imaging-based intrusion detection. Future Gener. Comput. Syst. 123: 108-127 (2021)
DOI: https://doi.org/10.1016/j.future.2021.04.017
Giuseppina Andresini, Annalisa Appice, Donato Malerba:
Autoencoder-based deep metric learning for network intrusion detection. Inf. Sci. 569: 706-727 (2021)
DOI: https://doi.org/10.1016/j.ins.2021.05.016
Filippo Lanubile, Fabio Calefato, Luigi Quaranta, Maddalena Amoruso, Fabio Fumarola, Michele Filannino:
Towards Productizing AI/ML Models: An Industry Perspective from Data Scientists. CoRR (2021)
DOI: https://arxiv.org/abs/2103.10548
Mirche Arsov, Eftim Zdravevski, Petre Lameski, Roberto Corizzo, Nikola Koteli, Sasho Gramatikov, Kosta Mitreski, Vladimir Trajkovik:
Multi-Horizon Air Pollution Forecasting with Deep Neural Networks. Sensors 21(4): 1235 (2021)
DOI: https://doi.org/10.3390/s21041235
Giuseppina Andresini, Annalisa Appice, Donato Malerba:
Nearest cluster-based intrusion detection through convolutional neural networks. Knowl. Based Syst. 216: 106798 (2021)
DOI: https://doi.org/10.1016/j.knosys.2021.106798
Michelangelo Ceci, Pasqua Fabiana Lanotte:
Closed sequential pattern mining for sitemap generation. World Wide Web 24(1): 175-203 (2021)
DOI: https://doi.org/10.1007/s11280-020-00839-2
Roberto Corizzo, Michelangelo Ceci, Hadi Fanaee-T, João Gama:
Multi-aspect renewable energy forecasting. Inf. Sci. 546: 701-722 (2021)
DOI: https://doi.org/10.1016/j.ins.2020.08.003


2020
Irena Koprinska, Michael Kamp, Annalisa Appice, Corrado Loglisci, Luiza Antonie, Albrecht Zimmermann, Riccardo Guidotti, Özlem Özgöbek, Rita P. Ribeiro, Ricard Gavaldà, João Gama, Linara Adilova, Yamuna Krishnamurthy, Pedro M. Ferreira, Donato Malerba, Ibéria Medeiros, Michelangelo Ceci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras, Peter Christen, Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Anna Monreale, Przemyslaw Biecek, Salvatore Rinzivillo, Benjamin Kille, Andreas Lommatzsch, Jon Atle Gulla:
ECML PKDD 2020 Workshops - Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14-18, 2020, Proceedings PKDD/ECML Workshops Communications in Computer and Information Science 1323, Springer (2020), ISBN: 978-3-030-65965-3
DOI: https://doi.org/10.1007/978-3-030-65965-3
Michelangelo Ceci, Angelo Impedovo, Antonio Pellicani:
Leveraging Multi-target Regression for Predicting the Next Parallel Activities in Event Logs. PKDD/ECML Workshops: 237-248 (2020)
DOI: https://doi.org/10.1007/978-3-030-65965-3_15
Matteo Greco, Michele Spagnoletta, Annalisa Appice, Donato Malerba:
Applying Machine Learning to Predict Closing Prices in Stock Market: A Case Study. MIDAS@PKDD/ECML: 32-39 (2020)
DOI: https://doi.org/10.1007/978-3-030-66981-2_3
Jovan Kalajdjieski, Eftim Zdravevski, Roberto Corizzo, Petre Lameski, Slobodan Kalajdziski, Ivan Miguel Pires, Nuno M. Garcia, Vladimir Trajkovik:
Air Pollution Prediction with Multi-Modal Data and Deep Neural Networks. Remote. Sens. 12(24): 4142 (2020)
DOI: https://doi.org/10.3390/rs12244142
Antonella Falini, Cristiano Tamborrino, Graziano Castellano, Francesca Mazzia, Rosa Maria Mininni, Annalisa Appice, Donato Malerba:
Novel Reconstruction Errors for Saliency Detection in Hyperspectral Images. LOD (1): 113-124 (2020)
DOI: https://doi.org/10.1007/978-3-030-64583-0_12
Lorenzo de Mattei, Graziella De Martino, Andrea Iovine, Alessio Miaschi, Marco Polignano, Giulia Rambelli:
ATE_ABSITA @ EVALITA2020: Overview of the Aspect Term Extraction and Aspect-based Sentiment Analysis Task. EVALITA (2020)
DOI: http://ceur-ws.org/Vol-2765/paper153.pdf
Colin Bellinger, Roberto Corizzo, Nathalie Japkowicz:
ReMix: Calibrated Resampling for Class Imbalance in Deep learning. CoRR (2020)
DOI: https://arxiv.org/abs/2012.02312
Dragi Kocev, Michelangelo Ceci, Tomaz Stepisnik:
Ensembles of extremely randomized predictive clustering trees for predicting structured outputs. Mach. Learn. 109(11): 2213-2241 (2020)
DOI: https://doi.org/10.1007/s10994-020-05894-4
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba, Giuseppe Modugno:
ORANGE: Outcome-Oriented Predictive Process Monitoring Based on Image Encoding and CNNs. IEEE Access 8: 184073-184 (2020)
DOI: https://doi.org/10.1109/ACCESS.2020.3029323
Annalisa Appice, Grigorios Tsoumakas, Yannis Manolopoulos, Stan Matwin:
Discovery Science - 23rd International Conference, DS 2020, Thessaloniki, Greece, October 19-21, 2020, Proceedings DS Lecture Notes in Computer Science 12323, Springer (2020), ISBN: 978-3-030-61527-7
DOI: https://doi.org/10.1007/978-3-030-61527-7
Angelo Impedovo, Paolo Mignone, Corrado Loglisci, Michelangelo Ceci:
Simultaneous Process Drift Detection and Characterization with Pattern-Based Change Detectors. DS: 451-467 (2020)
DOI: https://doi.org/10.1007/978-3-030-61527-7_30
Jonathan Kaufmann, Kathryn Asalone, Roberto Corizzo, Colin Saldanha, John Bracht, Nathalie Japkowicz:
One-Class Ensembles for Rare Genomic Sequences Identification. DS: 340-354 (2020)
DOI: https://doi.org/10.1007/978-3-030-61527-7_23
Mirche Arsov, Eftim Zdravevski, Petre Lameski, Roberto Corizzo, Nikola Koteli, Kosta Mitreski, Vladimir Trajkovik:
Short-term air pollution forecasting based on environmental factors and deep learning models. FedCSIS: 15-22 (2020)
DOI: https://doi.org/10.15439/2020F211
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba:
Predictive Process Mining Meets Computer Vision. BPM (Forum): 176-192 (2020)
DOI: https://doi.org/10.1007/978-3-030-58638-6_11
Annalisa Appice, Francesco Lomuscio, Antonella Falini, Cristiano Tamborrino, Francesca Mazzia, Donato Malerba:
Saliency Detection in Hyperspectral Images Using Autoencoder-Based Data Reconstruction. ISMIS: 161-170 (2020)
DOI: https://doi.org/10.1007/978-3-030-59491-6_15
Corrado Loglisci, Marco Zappatore, Antonella Longo, Mario A. Bochicchio, Donato Malerba:
Leveraging Machine Learning in IoT to Predict the Trustworthiness of Mobile Crowd Sensing Data. ISMIS: 235-244 (2020)
DOI: https://doi.org/10.1007/978-3-030-59491-6_22
Matej Petkovic, Michelangelo Ceci, Kristian Kersting, Saso Dzeroski:
Estimating the Importance of Relational Features by Using Gradient Boosting. ISMIS: 362-371 (2020)
DOI: https://doi.org/10.1007/978-3-030-59491-6_34
Jurica Levatic, Michelangelo Ceci, Tomaz Stepisnik, Saso Dzeroski, Dragi Kocev:
Semi-supervised regression trees with application to QSAR modelling. Expert Syst. Appl. 158: 113569 (2020)
DOI: https://doi.org/10.1016/j.eswa.2020.113569
Michelangelo Ceci, Roberto Corizzo, Nathalie Japkowicz, Paolo Mignone, Gianvito Pio:
ECHAD: Embedding-Based Change Detection From Multivariate Time Series in Smart Grids. IEEE Access 8: 156053-156 (2020)
DOI: https://doi.org/10.1109/ACCESS.2020.3019095
Annalisa Appice, Pietro Guccione, Emilio Acciaro, Donato Malerba:
Detecting salient regions in a bi-temporal hyperspectral scene by iterating clustering and classification. Appl. Intell. 50(10): 3179-3200 (2020)
DOI: https://doi.org/10.1007/s10489-020-01701-8
Emanuele Pio Barracchia, Gianvito Pio, Domenica D'Elia, Michelangelo Ceci:
Prediction of New Associations between ncRNAs and Diseases Exploiting Multi-Type Hierarchical Clustering. SEBD: 160-167 (2020)
DOI: http://ceur-ws.org/Vol-2646/37-paper.pdf
Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
jKarma: A Highly-Modular Framework for Pattern-Based Change Detection on Evolving Data. SEBD: 343-350 (2020)
DOI: http://ceur-ws.org/Vol-2646/38-paper.pdf
Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Condensed representations of changes in dynamic graphs through emerging subgraph mining. Eng. Appl. Artif. Intell. 94: 103830 (2020)
DOI: https://doi.org/10.1016/j.engappai.2020.103830
Biserka Petrovska, Eftim Zdravevski, Petre Lameski, Roberto Corizzo, Ivan Stajduhar, Jonatan Lerga:
Deep Learning for Feature Extraction in Remote Sensing: A Case-Study of Aerial Scene Classification. Sensors 20(14): 3906 (2020)
DOI: https://doi.org/10.3390/s20143906
Annalisa Appice, Pasquale Ardimento, Donato Malerba, Giuseppe Modugno, Diego Marra, Marco Mottola:
Training in a Virtual Learning Environment: A Process Mining Approach. EAIS: 1-8 (2020)
DOI: https://doi.org/10.1109/EAIS48028.2020.9122760
Gabriella Casalino, Riccardo Grassi, Marco Iannotta, Vincenzo Pasquadibisceglie, Gianluca Zaza:
A Hierarchical Fuzzy System for Risk Assessment of Cardiovascular Disease. EAIS: 1-7 (2020)
DOI: https://doi.org/10.1109/EAIS48028.2020.9122750
Antonella Falini, Graziano Castellano, Cristiano Tamborrino, Francesca Mazzia, Rosa Maria Mininni, Annalisa Appice, Donato Malerba:
Saliency Detection for Hyperspectral Images via Sparse-Non Negative-Matrix-Factorization and novel Distance Measures. EAIS: 1-8 (2020)
DOI: https://doi.org/10.1109/EAIS48028.2020.9122749
Annalisa Appice, Giuseppina Andresini, Donato Malerba:
Clustering-Aided Multi-View Classification: A Case Study on Android Malware Detection. J. Intell. Inf. Syst. 55(1): 1-26 (2020)
DOI: https://doi.org/10.1007/s10844-020-00598-6
Gianvito Pio, Michelangelo Ceci, Francesca Prisciandaro, Donato Malerba:
Exploiting causality in gene network reconstruction based on graph embedding. Mach. Learn. 109(6): 1231-1279 (2020)
DOI: https://doi.org/10.1007/s10994-019-05861-8
Roberto Corizzo, Michelangelo Ceci, Eftim Zdravevski, Nathalie Japkowicz:
Scalable auto-encoders for gravitational waves detection from time series data. Expert Syst. Appl. 151: 113378 (2020)
DOI: https://doi.org/10.1016/j.eswa.2020.113378
Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras:
New Frontiers in Mining Complex Patterns - 8th International Workshop, NFMCP 2019, Held in Conjunction with ECML-PKDD 2019, - Würzburg, Germany, September 16, 2019, Revised Selected Papers NFMCP@PKDD/ECML Lecture Notes in Computer Science 11948, Springer (2020), ISBN: 978-3-030-48861-1
DOI: https://doi.org/10.1007/978-3-030-48861-1
Emanuele Pio Barracchia, Gianvito Pio, Domenica D'Elia, Michelangelo Ceci:
Prediction of new associations between ncRNAs and diseases exploiting multi-type hierarchical clustering. BMC Bioinform. 21(1): 70 (2020)
DOI: https://doi.org/10.1186/s12859-020-3392-2
Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba:
Multi-Channel Deep Feature Learning for Intrusion Detection. IEEE Access 8: 53346-5335 (2020)
DOI: https://doi.org/10.1109/ACCESS.2020.2980937
Annalisa Appice, Yulia R. Gel, Iliyan Iliev, Vyacheslav Lyubchich, Donato Malerba:
A Multi-Stage Machine Learning Approach to Predict Dengue Incidence: A Case Study in Mexico. IEEE Access 8: 52713-5272 (2020)
DOI: https://doi.org/10.1109/ACCESS.2020.2980634
Paolo Mignone, Gianvito Pio, Domenica D'Elia, Michelangelo Ceci:
Exploiting transfer learning for the reconstruction of the human gene regulatory network. Bioinform. 36(5): 1553-1561 (2020)
DOI: https://doi.org/10.1093/bioinformatics/btz781
Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
jKarma: A highly-modular framework for pattern-based change detection on evolving data. Knowl. Based Syst. 192: 105303 (2020)
DOI: https://doi.org/10.1016/j.knosys.2019.105303
Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Exploiting Pattern Set Dissimilarity for Detecting Changes in Communication Networks. Complex Pattern Mining: 137-152 (2020)
DOI: https://doi.org/10.1007/978-3-030-36617-9_9
Giuseppina Andresini, Annalisa Appice, Donato Malerba:
Dealing with Class Imbalance in Android Malware Detection by Cascading Clustering and Classification. Complex Pattern Mining: 173-187 (2020)
DOI: https://doi.org/10.1007/978-3-030-36617-9_11
Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras:
Complex Pattern Mining - New Challenges, Methods and Applications Complex Pattern Mining Studies in Computational Intelligence 880, Springer (2020), ISBN: 978-3-030-36617-9
DOI: https://doi.org/10.1007/978-3-030-36617-9
Michelangelo Ceci, Stefano Ferilli, Antonella Poggi:
Digital Libraries: The Era of Big Data and Data Science - 16th Italian Research Conference on Digital Libraries, IRCDL 2020, Bari, Italy, January 30-31, 2020, Proceedings IRCDL Communications in Computer and Information Science 1177, Springer (2020), ISBN: 978-3-030-39905-4
DOI: https://doi.org/10.1007/978-3-030-39905-4


2019
Annalisa Appice, Nicola Di Mauro, Francesco Lomuscio, Donato Malerba:
Empowering Change Vector Analysis with Autoencoding in Bi-temporal Hyperspectral Images. MACLEAN@PKDD/ECML (2019)
DOI: http://ceur-ws.org/Vol-2466/paper6.pdf
Gabriella Casalino, Giovanna Castellano, Vincenzo Pasquadibisceglie, Gianluca Zaza:
Evaluating End-User Perception Towards a Cardiac Self-care Monitoring Process. MobiHealth: 43-59 (2019)
DOI: https://doi.org/10.1007/978-3-030-49289-2_4
Sid Ryan, Roberto Corizzo, Iluju Kiringa, Nathalie Japkowicz:
Deep Learning Versus Conventional Learning in Data Streams with Concept Drifts. ICMLA: 1306-1313 (2019)
DOI: https://doi.org/10.1109/ICMLA.2019.00213
Sid Ryan, Roberto Corizzo, Iluju Kiringa, Nathalie Japkowicz:
Pattern and Anomaly Localization in Complex and Dynamic Data. ICMLA: 1756-1763 (2019)
DOI: https://doi.org/10.1109/ICMLA.2019.00285
Marco Zappatore, Corrado Loglisci, Antonella Longo, Mario A. Bochicchio, Lucia Vaira, Donato Malerba:
Trustworthiness of Context-Aware Urban Pollution Data in Mobile Crowd Sensing. IEEE Access 7: 154141-154 (2019)
DOI: https://doi.org/10.1109/ACCESS.2019.2948757
Corrado Loglisci, Donato Malerba:
Periodicity Detection of Emotional Communities in Microblogging. AI*IA: 558-571 (2019)
DOI: https://doi.org/10.1007/978-3-030-35166-3_39
Nicola Di Mauro, Annalisa Appice, Teresa M. A. Basile:
Activity Prediction of Business Process Instances with Inception CNN Models. AI*IA: 348-361 (2019)
DOI: https://doi.org/10.1007/978-3-030-35166-3_25
Angelo Impedovo, Michelangelo Ceci, Toon Calders:
Efficient and Accurate Non-exhaustive Pattern-Based Change Detection in Dynamic Networks. DS: 396-411 (2019)
DOI: https://doi.org/10.1007/978-3-030-33778-0_30
Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba:
Exploiting the Auto-Encoder Residual Error for Intrusion Detection. EuroS&P Workshops: 281-290 (2019)
DOI: https://doi.org/10.1109/EuroSPW.2019.00038
Annalisa Appice, Nicola Di Mauro, Donato Malerba:
Leveraging Shallow Machine Learning to Predict Business Process Behavior. SCC: 184-188 (2019)
DOI: https://doi.org/10.1109/SCC.2019.00039
Roberto Corizzo, Michelangelo Ceci, Donato Malerba:
Big Data Analytics and Predictive Modeling Approaches for the Energy Sector. BigData Congress: 55-63 (2019)
DOI: https://doi.org/10.1109/BigDataCongress.2019.00020
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba:
Using Convolutional Neural Networks for Predictive Process Analytics. ICPM: 129-136 (2019)
DOI: https://doi.org/10.1109/ICPM.2019.00028
Roberto Corizzo, Michelangelo Ceci, Nathalie Japkowicz:
Anomaly Detection and Repair for Accurate Predictions in Geo-distributed Big Data. Big Data Research 16: 18-35 (2019)
DOI: https://doi.org/10.1016/j.bdr.2019.04.001
Ameya Malondkar, Roberto Corizzo, Iluju Kiringa, Michelangelo Ceci, Nathalie Japkowicz:
Spark-GHSOM: Growing Hierarchical Self-Organizing Map for large scale mixed attribute datasets. Inf. Sci. 496: 572-591 (2019)
DOI: https://doi.org/10.1016/j.ins.2018.12.007
Corrado Loglisci, Angelo Impedovo, Michelangelo Ceci, Donato Malerba:
Mining Microscopic and Macroscopic Changes in Network Data Streams (Discussion Paper). SEBD (2019)
DOI: http://ceur-ws.org/Vol-2400/paper-23.pdf
Paolo Mignone, Gianvito Pio, Michelangelo Ceci:
Positive Unlabeled Link Prediction via Transfer Learning for Gene Network Reconstruction (Discussion Paper). SEBD (2019)
DOI: http://ceur-ws.org/Vol-2400/paper-06.pdf
Roberto Corizzo, Gianvito Pio, Michelangelo Ceci, Donato Malerba:
DENCAST: distributed density-based clustering for multi-target regression. J. Big Data 6: 43 (2019)
DOI: https://doi.org/10.1186/s40537-019-0207-2
Michelangelo Ceci, Roberto Corizzo, Donato Malerba, Aleksandra Rashkovska:
Spatial autocorrelation and entropy for renewable energy forecasting. Data Min. Knowl. Discov. 33(3): 698-729 (2019)
DOI: https://doi.org/10.1007/s10618-018-0605-7
Gabriella Casalino, Giovanna Castellano, Vincenzo Pasquadibisceglie, Gianluca Zaza:
Contact-Less Real-Time Monitoring of Cardiovascular Risk Using Video Imaging and Fuzzy Inference Rules. Information 10(1): 9 (2019)
DOI: https://doi.org/10.3390/info10010009


2018
Jurica Levatic, Dragi Kocev, Michelangelo Ceci, Saso Dzeroski:
Semi-supervised trees for multi-target regression. Inf. Sci. 450: 109-127 (2018)
DOI: https://doi.org/10.1016/j.ins.2018.03.033
Michelangelo Ceci, Toon Calders:
Introduction to the special issue on discovery science. Machine Learning 107(11): 1647-1649 (2018)
DOI: https://doi.org/10.1007/s10994-018-5749-6
Francesco Serafino, Gianvito Pio, Michelangelo Ceci:
Ensemble Learning for Multi-Type Classification in Heterogeneous Networks. IEEE Trans. Knowl. Data Eng. 30(12): 2326-2339 (2018)
DOI: https://doi.org/10.1109/TKDE.2018.2822307
Francesco Serafino, Gianvito Pio, Michelangelo Ceci:
Ensemble Learning for Multi-type Classification in Heterogeneous Networks. SEBD (2018)
DOI: http://ceur-ws.org/Vol-2161/paper32.pdf
Annalisa Appice, Antonietta Lanza, Donato Malerba:
Wind Speed Forecasting via Structured Output Learning. SEBD (2018)
DOI: http://ceur-ws.org/Vol-2161/paper31.pdf
Larisa N. Soldatova, Joaquin Vanschoren, George A. Papadopoulos, Michelangelo Ceci:
Discovery Science - 21st International Conference, DS 2018, Limassol, Cyprus, October 29-31, 2018, Proceedings DS Lecture Notes in Computer Science 11198, Springer (2018), ISBN: 978-3-030-01771-2
DOI: https://doi.org/10.1007/978-3-030-01771-2
Michelangelo Ceci, Nathalie Japkowicz, Jiming Liu, George A. Papadopoulos, Zbigniew W. Ras:
Foundations of Intelligent Systems - 24th International Symposium, ISMIS 2018, Limassol, Cyprus, October 29-31, 2018, Proceedings ISMIS Lecture Notes in Computer Science 11177, Springer (2018), ISBN: 978-3-030-01851-1
DOI: https://doi.org/10.1007/978-3-030-01851-1
Annalisa Appice, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras:
New Frontiers in Mining Complex Patterns - 6th International Workshop, NFMCP 2017, Held in Conjunction with ECML-PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Revised Selected Papers NFMCP@PKDD/ECML Lecture Notes in Computer Science 10785, Springer (2018), ISBN: 978-3-319-78680-3
DOI: https://doi.org/10.1007/978-3-319-78680-3
Gabriella Casalino, Giovanna Castellano, Ciro Castiello, Vincenzo Pasquadibisceglie, Gianluca Zaza:
A Fuzzy Rule-Based Decision Support System for Cardiovascular Risk Assessment. WILF: 97-108 (2018)
DOI: https://doi.org/10.1007/978-3-030-12544-8_8
Corrado Loglisci, Michelangelo Ceci, Angelo Impedovo, Donato Malerba:
Mining microscopic and macroscopic changes in network data streams. Knowl.-Based Syst. 161: 294-312 (2018)
DOI: https://doi.org/10.1016/j.knosys.2018.07.011
Michelangelo Ceci, Michele Spagnoletta, Pasqua Fabiana Lanotte, Donato Malerba:
Distributed Learning of Process Models for Next Activity Prediction. IDEAS: 278-282 (2018)
DOI: https://doi.org/10.1145/3216122.3216125
Sonja Pravilovic, Annalisa Appice, Donato Malerba:
Leveraging correlation across space and time to interpolate geophysical data via CoKriging. International Journal of Geographical Information Science 32(1): 191-212 (2018)
DOI: https://doi.org/10.1080/13658816.2017.1381338
Corrado Loglisci, Giuseppina Andresini, Angelo Impedovo, Donato Malerba:
Analyzing Microblogging Posts for Tracking Collective Emotional Trajectories. AI*IA: 123-135 (2018)
DOI: https://doi.org/10.1007/978-3-030-03840-3_10
Annalisa Appice, Antonietta Lanza, Donato Malerba:
Handling Multi-scale Data via Multi-target Learning for Wind Speed Forecasting. ISMIS: 357-366 (2018)
DOI: https://doi.org/10.1007/978-3-030-01851-1_34
Paolo Mignone, Gianvito Pio:
Positive Unlabeled Link Prediction via Transfer Learning for Gene Network Reconstruction. ISMIS: 13-23 (2018)
DOI: https://doi.org/10.1007/978-3-030-01851-1_2
Marjana Prifti Skenduli, Marenglen Biba, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
User-Emotion Detection Through Sentence-Based Classification Using Deep Learning: A Case-Study with Microblogs in Albanian. ISMIS: 258-267 (2018)
DOI: https://doi.org/10.1007/978-3-030-01851-1_25
Domenico Redavid, Roberto Corizzo, Donato Malerba:
An OWL Ontology for Supporting Semantic Services in Big Data Platforms. BigData Congress: 228-231 (2018)
DOI: https://doi.org/10.1109/BigDataCongress.2018.00039
Ernesto Damiani, Gabriele Gianini, Michelangelo Ceci, Donato Malerba:
Toward IoT-Friendly Learning Models. ICDCS: 1284-1289 (2018)
DOI: https://doi.org/10.1109/ICDCS.2018.00128
Annalisa Appice, Corrado Loglisci, Donato Malerba:
Active learning via collective inference in network regression problems. Inf. Sci. 460: 293-317 (2018)
DOI: https://doi.org/10.1016/j.ins.2018.05.028
Marjana Prifti Skenduli, Corrado Loglisci, Michelangelo Ceci, Marenglen Biba, Donato Malerba:
An Empirical Evaluation of Sequential Pattern Mining Algorithms. EIDWT: 615-626 (2018)
DOI: https://doi.org/10.1007/978-3-319-75928-9_55
Domenico Redavid, Donato Malerba, Beniamino Di Martino, Antonio Esposito, Claudio Agostino Ardagna, Valerio Bellandi, Paolo Ceravolo, Ernesto Damiani:
Semantic Support for Model Based Big Data Analytics-as-a-Service (MBDAaaS). CISIS: 1012-1021 (2018)
DOI: https://doi.org/10.1007/978-3-319-93659-8_94
Corrado Loglisci:
Using interactions and dynamics for mining groups of moving objects from trajectory data. International Journal of Geographical Information Science 32(7): 1436-1468 (2018)
DOI: https://doi.org/10.1080/13658816.2017.1416473
Annalisa Appice:
Towards mining the organizational structure of a dynamic event scenario. J. Intell. Inf. Syst. 50(1): 165-193 (2018)
DOI: https://doi.org/10.1007/s10844-017-0451-x
Gianvito Pio, Francesco Serafino, Donato Malerba, Michelangelo Ceci:
Multi-type clustering and classification from heterogeneous networks. Inf. Sci. 425: 107-126 (2018)
DOI: https://doi.org/10.1016/j.ins.2017.10.021
Annalisa Appice, Michelangelo Ceci, Donato Malerba:
Relational Data Mining in the Era of Big Data. A Comprehensive Guide Through the Italian Database Research: 323-339 (2018)
DOI: https://doi.org/10.1007/978-3-319-61893-7_19


2017
Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski:
Self-training for multi-target regression with tree ensembles. Knowl.-Based Syst. 123: 41-60 (2017)
DOI: https://doi.org/10.1016/j.knosys.2017.02.014
Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski:
Semi-supervised classification trees. J. Intell. Inf. Syst. 49(3): 461-486 (2017)
DOI: https://doi.org/10.1007/s10844-017-0457-4
Michelangelo Ceci, Roberto Corizzo, Fabio Fumarola, Donato Malerba, Aleksandra Rashkovska:
Predictive Modeling of PV Energy Production: How to Set Up the Learning Task for a Better Prediction? IEEE Trans. Industrial Informatics 13(3): 956-966 (2017)
DOI: https://doi.org/10.1109/TII.2016.2604758
Roberto Corizzo, Dino Ienco:
Proceedings of the ECML/PKDD Discovery Challenges co-located with European Conference on Machine Learning - Principle and Practice of Knowledge Discovery in Database (ECML PKDD 2017), Skopje, Macedonia, September 18, 2017. DC@PKDD/ECML CEUR Workshop Proceedings 1972, CEUR-WS.org (2017)
DOI: http://ceur-ws.org/Vol-1972
Ilaria Bordino, Guido Caldarelli, Fabio Fumarola, Francesco Gullo, Tiziano Squartini:
Proceedings of the Second Workshop on MIning DAta for financial applicationS (MIDAS 2017) co-located with the 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017), Skopje, Macedonia, September 18, 2017. MIDAS@PKDD/ECML CEUR Workshop Proceedings 1941, CEUR-WS.org (2017)
DOI: http://ceur-ws.org/Vol-1941
Roberto Corizzo, Gianvito Pio, Michelangelo Ceci, Donato Malerba:
Forecasting via Distributed Density-Based Clustering. SEBD: 57 (2017)
DOI: http://ceur-ws.org/Vol-2037/paper_10.pdf
Marzena Kryszkiewicz, Annalisa Appice, Dominik Slezak, Henryk Rybinski, Andrzej Skowron, Zbigniew W. Ras:
Foundations of Intelligent Systems - 23rd International Symposium, ISMIS 2017, Warsaw, Poland, June 26-29, 2017, Proceedings ISMIS Lecture Notes in Computer Science 10352, Springer (2017), ISBN: 978-3-319-60438-1
DOI: https://doi.org/10.1007/978-3-319-60438-1
Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Elio Masciari, Zbigniew W. Ras:
New Frontiers in Mining Complex Patterns - 5th International Workshop, NFMCP 2016, Held in Conjunction with ECML-PKDD 2016, Riva del Garda, Italy, September 19, 2016, Revised Selected Papers NFMCP@ECML/PKDD Lecture Notes in Computer Science 10312, Springer (2017), ISBN: 978-3-319-61461-8
DOI: https://doi.org/10.1007/978-3-319-61461-8
Michelangelo Ceci, Jaakko Hollmén, Ljupco Todorovski, Celine Vens, Saso Dzeroski:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part I ECML/PKDD (1) Lecture Notes in Computer Science 10534, Springer (2017), ISBN: 978-3-319-71249-9
DOI: https://doi.org/10.1007/978-3-319-71249-9
Michelangelo Ceci, Jaakko Hollmén, Ljupco Todorovski, Celine Vens, Saso Dzeroski:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part II ECML/PKDD (2) Lecture Notes in Computer Science 10535, Springer (2017), ISBN: 978-3-319-71246-8
DOI: https://doi.org/10.1007/978-3-319-71246-8
Yasemin Altun, Kamalika Das, Taneli Mielikäinen, Donato Malerba, Jerzy Stefanowski, Jesse Read, Marinka Zitnik, Michelangelo Ceci, Saso Dzeroski:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part III ECML/PKDD (3) Lecture Notes in Computer Science 10536, Springer (2017), ISBN: 978-3-319-71273-4
DOI: https://doi.org/10.1007/978-3-319-71273-4
Emanuele Pio Barracchia, Gianvito Pio, Donato Malerba, Michelangelo Ceci:
Identifying lncRNA-Disease Relationships via Heterogeneous Clustering. NFMCP@PKDD/ECML: 35-48 (2017)
DOI: https://doi.org/10.1007/978-3-319-78680-3_3
Giovanna Castellano, Ciro Castiello, Vincenzo Pasquadibisceglie, Gianluca Zaza:
FISDeT: Fuzzy Inference System Development Tool. Int. J. Comput. Intell. Syst. 10(1): 13-22 (2017)
DOI: https://doi.org/10.2991/ijcis.2017.10.1.2
Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci:
Temporal Pattern Mining from Evolving Networks. CoRR (2017)
DOI: http://arxiv.org/abs/1709.06772
Fabio Fumarola, Pasqua Fabiana Lanotte:
Exploiting Recurrent Neural Networks for Gate Traffic Prediction. TRAP: 145-153 (2017)
DOI: https://doi.org/10.1007/978-3-319-75608-0_11
Annalisa Appice, Sonja Pravilovic, Donato Malerba, Antonietta Lanza:
Sampling Training Data for Accurate Hyperspectral Image Classification via Tree-Based Spatial Clustering. AI*IA: 309-320 (2017)
DOI: https://doi.org/10.1007/978-3-319-70169-1_23
Gianvito Pio, Michelangelo Ceci, Francesca Prisciandaro, Donato Malerba:
LOCANDA: Exploiting Causality in the Reconstruction of Gene Regulatory Networks. DS: 283-297 (2017)
DOI: https://doi.org/10.1007/978-3-319-67786-6_20
Pasqua Fabiana Lanotte, Fabio Fumarola, Donato Malerba, Michelangelo Ceci:
Exploiting Web Sites Structural and Content Features for Web Pages Clustering. ISMIS: 446-456 (2017)
DOI: https://doi.org/10.1007/978-3-319-60438-1_44
Sonja Pravilovic, Massimo Bilancia, Annalisa Appice, Donato Malerba:
Using multiple time series analysis for geosensor data forecasting. Inf. Sci. 380: 31-52 (2017)
DOI: https://doi.org/10.1016/j.ins.2016.11.001
Corrado Loglisci, Donato Malerba:
Leveraging temporal autocorrelation of historical data for improving accuracy in network regression. Statistical Analysis and Data Mining 10(1): 40-53 (2017)
DOI: https://doi.org/10.1002/sam.11336
Annalisa Appice, Pietro Guccione, Donato Malerba:
A novel spectral-spatial co-training algorithm for the transductive classification of hyperspectral imagery data. Pattern Recognition 63: 229-245 (2017)
DOI: https://doi.org/10.1016/j.patcog.2016.10.010


2016
Pasqua Fabiana Lanotte, Fabio Fumarola, Donato Malerba, Michelangelo Ceci:
Automatic Generation of Sitemaps Based on Navigation Systems. MOD: 216-223 (2016)
DOI: https://doi.org/10.1007/978-3-319-51469-7_18
Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari:
Recent advances in mining patterns from complex data. J. Intell. Inf. Syst. 47(1): 1-3 (2016)
DOI: https://doi.org/10.1007/s10844-016-0415-6
Ilaria Bordino, Guido Caldarelli, Fabio Fumarola, Francesco Gullo, Tiziano Squartini:
Proceedings of the First Workshop on MIning DAta for financial applicationS (MIDAS 2016) co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2016), Riva del Garda, Italy, September 19-23, 2016. MIDAS@PKDD/ECML CEUR Workshop Proceedings 1774, CEUR-WS.org (2016)
DOI: http://ceur-ws.org/Vol-1774
Toon Calders, Michelangelo Ceci, Donato Malerba:
Discovery Science - 19th International Conference, DS 2016, Bari, Italy, October 19-21, 2016, Proceedings DS Lecture Notes in Computer Science 9956 (2016), ISBN: 978-3-319-46306-3
DOI: https://doi.org/10.1007/978-3-319-46307-0
Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras:
New Frontiers in Mining Complex Patterns - 4th International Workshop, NFMCP 2015, Held in Conjunction with ECML-PKDD 2015, Porto, Portugal, September 7, 2015, Revised Selected Papers NFMCP Lecture Notes in Computer Science 9607, Springer (2016), ISBN: 978-3-319-39314-8
DOI: https://doi.org/10.1007/978-3-319-39315-5
Annalisa Appice, Pietro Guccione, Donato Malerba:
Transductive hyperspectral image classification: toward integrating spectral and relational features via an iterative ensemble system. Machine Learning 103(3): 343-375 (2016)
DOI: https://doi.org/10.1007/s10994-016-5559-7
Fabio Fumarola, Pasqua Fabiana Lanotte, Michelangelo Ceci, Donato Malerba:
CloFAST: closed sequential pattern mining using sparse and vertical id-lists. Knowl. Inf. Syst. 48(2): 429-463 (2016)
DOI: https://doi.org/10.1007/s10115-015-0884-x
Corrado Loglisci, Annalisa Appice, Donato Malerba:
Collective regression for handling autocorrelation of network data in a transductive setting. J. Intell. Inf. Syst. 46(3): 447-472 (2016)
DOI: https://doi.org/10.1007/s10844-015-0361-8
Nicoletta Del Buono, Flavia Esposito, Fabio Fumarola, Angelina Boccarelli, Mauro Coluccia:
Breast Cancer's Microarray Data: Pattern Discovery Using Nonnegative Matrix Factorizations. MOD: 281-292 (2016)
DOI: https://doi.org/10.1007/978-3-319-51469-7_24
Costantina Caruso, Andrea Dimitri, Massimo Mecella:
Identity Mining vs Identity Discovering: a new approach. Open Identity Summit: 175-180 (2016)
DOI: https://dl.gi.de/20.500.12116/599
Corrado Loglisci, Michelangelo Ceci, Angelo Impedovo, Donato Malerba:
Mining Spatio-Temporal Patterns of Periodic Changes in Climate Data. NFMCP@PKDD/ECML: 198-212 (2016)
DOI: https://doi.org/10.1007/978-3-319-61461-8_13
Annalisa Appice, Donato Malerba:
A Co-Training Strategy for Multiple View Clustering in Process Mining. IEEE Trans. Services Computing 9(6): 832-845 (2016)
DOI: https://doi.org/10.1109/TSC.2015.2430327
Annalisa Appice, Pietro Guccione:
Exploiting Spatial Correlation of Spectral Signature for Training Data Selection in Hyperspectral Image Classification. DS: 295-309 (2016)
DOI: https://doi.org/10.1007/978-3-319-46307-0_19
Anna Maria Crespino, Angelo Corallo, Mariangela Lazoi, Donato Barbagallo, Annalisa Appice, Donato Malerba:
Anomaly detection in aerospace product manufacturing: Initial remarks. RTSI: 1-4 (2016)
DOI: https://doi.org/10.1109/RTSI.2016.7740644
Francesco Serafino, Gianvito Pio, Donato Malerba, Michelangelo Ceci:
Multi-Type Classification from Heterogeneous Networks. SEBD: 102-109 (2016)
Michelangelo Ceci:
Big Data Analytics. SEBD: 1 (2016)
Michelangelo Ceci, Gianvito Pio, Vladimir Kuzmanovski, Saso Dzeroski:
Semi-Supervised Multi-View Learning for Gene Network Reconstruction. SEBD: 198-205 (2016)


2015
Dragi Kocev, Michelangelo Ceci:
Ensembles of Extremely Randomized Trees for Multi-target Regression. Discovery Science: 86-100 (2015)
DOI: https://doi.org/10.1007/978-3-319-24282-8_9
Michelangelo Ceci, Roberto Corizzo, Fabio Fumarola, Michele Ianni, Donato Malerba, Gaspare Maria, Elio Masciari, Marco Oliverio, Aleksandra Rashkovska:
Big Data Techniques For Supporting Accurate Predictions of Energy Production From Renewable Sources. IDEAS: 62-71 (2015)
DOI: https://doi.org/10.1145/2790755.2790762
Michelangelo Ceci, Corrado Loglisci, Lynn Rudd, Donato Malerba:
Discovering Knowledge through Multi-modal Association Rule Mining for Document Image Analysis. IT@LIA@AI*IA (2015)
DOI: http://ceur-ws.org/Vol-1509/ITALIA2015_paper_3.pdf
Gianvito Pio, Michelangelo Ceci, Donato Malerba, Domenica D'Elia:
ComiRNet: a web-based system for the analysis of miRNA-gene regulatory networks. BMC Bioinformatics 16: S7 (2015)
DOI: https://doi.org/10.1186/1471-2105-16-S9-S7
Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras:
New Frontiers in Mining Complex Patterns - Third International Workshop, NFMCP 2014, Held in Conjunction with ECML-PKDD 2014, Nancy, France, September 19, 2014, Revised Selected Papers NFMCP Lecture Notes in Computer Science 8983, Springer (2015), ISBN: 978-3-319-17875-2
DOI: https://doi.org/10.1007/978-3-319-17876-9
Annalisa Appice, Pedro Pereira Rodrigues, Vítor Santos Costa, Carlos Soares, João Gama, Alípio Jorge:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part I ECML/PKDD (1) Lecture Notes in Computer Science 9284, Springer (2015), ISBN: 978-3-319-23527-1
DOI: https://doi.org/10.1007/978-3-319-23528-8
Annalisa Appice, Pedro Pereira Rodrigues, Vítor Santos Costa, João Gama, Alípio Jorge, Carlos Soares:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part II ECML/PKDD (2) Lecture Notes in Computer Science 9285, Springer (2015), ISBN: 978-3-319-23524-0
DOI: https://doi.org/10.1007/978-3-319-23525-7
Giuseppe Pirlo, Vito Cuccovillo, Moisés Díaz Cabrera, Donato Impedovo, Paolo Mignone:
Multidomain Verification of Dynamic Signatures Using Local Stability Analysis. IEEE Trans. Human-Machine Systems 45(6): 805-810 (2015)
DOI: https://doi.org/10.1109/THMS.2015.2443050
Michelangelo Ceci, Alfredo Cuzzocrea, Donato Malerba:
Effectively and efficiently supporting roll-up and drill-down OLAP operations over continuous dimensions via hierarchical clustering. J. Intell. Inf. Syst. 44(3): 309-333 (2015)
DOI: https://doi.org/10.1007/s10844-013-0268-1
Annalisa Appice, Sonja Pravilovic, Antonietta Lanza, Donato Malerba:
Very Short-Term Wind Speed Forecasting Using Spatio-Temporal Lazy Learning. Discovery Science: 9-16 (2015)
DOI: https://doi.org/10.1007/978-3-319-24282-8_2
Francesco Serafino, Gianvito Pio, Michelangelo Ceci, Donato Malerba:
Hierarchical Multidimensional Classification of Web Documents with MultiWebClass. Discovery Science: 236-250 (2015)
DOI: https://doi.org/10.1007/978-3-319-24282-8_20
Corrado Loglisci, Bachir Balech, Donato Malerba:
Discovering Variability Patterns for Change Detection in Complex Phenotype Data. ISMIS: 9-18 (2015)
DOI: https://doi.org/10.1007/978-3-319-25252-0_2
Annalisa Appice, Marco Di Pietro, Claudio Greco, Donato Malerba:
Discovering and Tracking Organizational Structures in Event Logs. NFMCP: 46-60 (2015)
DOI: https://doi.org/10.1007/978-3-319-39315-5_4
Corrado Loglisci, Donato Malerba:
Mining Periodic Changes in Complex Dynamic Data Through Relational Pattern Discovery. NFMCP: 76-90 (2015)
DOI: https://doi.org/10.1007/978-3-319-39315-5_6
Annalisa Appice, Anna Ciampi, Donato Malerba:
Summarizing numeric spatial data streams by trend cluster discovery. Data Min. Knowl. Discov. 29(1): 84-136 (2015)
DOI: https://doi.org/10.1007/s10618-013-0337-7
Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Relational mining for discovering changes in evolving networks. Neurocomputing 150: 265-288 (2015)
DOI: https://doi.org/10.1016/j.neucom.2014.08.079
Pietro Guccione, Luigi Mascolo, Annalisa Appice:
Iterative Hyperspectral Image Classification Using Spectral-Spatial Relational Features. IEEE Trans. Geoscience and Remote Sensing 53(7): 3615-3627 (2015)
DOI: https://doi.org/10.1109/TGRS.2014.2380475
Nicoletta Del Buono, Gianvito Pio:
Non-negative Matrix Tri-Factorization for co-clustering: An analysis of the block matrix. Inf. Sci. 301: 13-26 (2015)
DOI: https://doi.org/10.1016/j.ins.2014.12.058
NhatHai Phan, Dino Ienco, Donato Malerba, Pascal Poncelet, Maguelonne Teisseire:
Mining Multi-Relational Gradual Patterns. SDM: 846-854 (2015)
DOI: https://doi.org/10.1137/1.9781611974010.95
Michelangelo Ceci, Roberto Corizzo, Fabio Fumarola, Michele Ianni, Donato Malerba, Gaspare Maria, Elio Masciari, Marco Oliverio, Aleksandra Rashkovska:
VIPOC Project Research Summary (Discussion Paper). SEBD: 208-215 (2015)
Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski:
Semi-supervised learning for multi-target regression (Discussion paper). SEBD: 240-247 (2015)


2014
Michelangelo Ceci, Corrado Loglisci, Lucrezia Macchia:
Ranking Sentences for Keyphrase Extraction: A Relational Data Mining Approach. IRCDL: 52-59 (2014)
DOI: https://doi.org/10.1016/j.procs.2014.10.011
Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski:
Semi-supervised Learning for Multi-target Regression. NFMCP: 3-18 (2014)
DOI: https://doi.org/10.1007/978-3-319-17876-9_1
Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Elio Masciari, Giuseppe Manco:
Mining complex patterns. J. Intell. Inf. Syst. 42(2): 179-180 (2014)
DOI: https://doi.org/10.1007/s10844-013-0301-4
Corrado Loglisci, Donato Malerba, Apostolos N. Papadopoulos:
Mining Trajectory Data for Discovering Communities of Moving Objects. EDBT/ICDT Workshops: 301-308 (2014)
DOI: http://ceur-ws.org/Vol-1133/paper-49.pdf
Gianvito Pio, Donato Malerba, Domenica D'Elia, Michelangelo Ceci:
Integrating microRNA target predictions for the discovery of gene regulatory networks: a semi-supervised ensemble learning approach. BMC Bioinformatics 15: S4 (2014)
DOI: https://doi.org/10.1186/1471-2105-15-S1-S4
Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras:
New Frontiers in Mining Complex Patterns - Second International Workshop, NFMCP 2013, Held in Conjunction with ECML-PKDD 2013, Prague, Czech Republic, September 27, 2013, Revised Selected Papers NFMCP Lecture Notes in Computer Science 8399, Springer (2014), ISBN: 978-3-319-08406-0
DOI: https://doi.org/10.1007/978-3-319-08407-7
Giuseppe Pirlo, Vito Cuccovillo, Donato Impedovo, Paolo Mignone:
On-Line Signature Verification by Multi-domain Classification. ICFHR: 67-72 (2014)
DOI: https://doi.org/10.1109/ICFHR.2014.19
Fabio Fumarola, Donato Malerba:
A parallel algorithm for approximate frequent itemset mining using MapReduce. HPCS: 335-342 (2014)
DOI: https://doi.org/10.1109/HPCSim.2014.6903705
Michelangelo Ceci, Nunziato Cassavia, Roberto Corizzo, Pietro Dicosta, Donato Malerba, Gaspare Maria, Elio Masciari, Camillo Pastura:
Innovative power operating center management exploiting big data techniques. IDEAS: 326-329 (2014)
DOI: https://doi.org/10.1145/2628194.2628231
Fabio Fumarola, Annalisa Appice, Donato Malerba:
A Business Intelligence Solution for Monitoring Efficiency of Photovoltaic Power Plants. ISMIS: 518-523 (2014)
DOI: https://doi.org/10.1007/978-3-319-08326-1_54
Pasqua Fabiana Lanotte, Fabio Fumarola, Michelangelo Ceci, Andrea Scarpino, Michele Damiano Torelli, Donato Malerba:
Automatic Extraction of Logical Web Lists. ISMIS: 365-374 (2014)
DOI: https://doi.org/10.1007/978-3-319-08326-1_37
Corrado Loglisci, Annalisa Appice, Donato Malerba:
Collective Inference for Handling Autocorrelation in Network Regression. ISMIS: 542-547 (2014)
DOI: https://doi.org/10.1007/978-3-319-08326-1_58
Corrado Loglisci, Donato Malerba:
Mining Dense Regions from Vehicular Mobility in Streaming Setting. ISMIS: 40-49 (2014)
DOI: https://doi.org/10.1007/978-3-319-08326-1_5
Gianvito Pio, Pasqua Fabiana Lanotte, Michelangelo Ceci, Donato Malerba:
Mining Temporal Evolution of Entities in a Stream of Textual Documents. ISMIS: 50-60 (2014)
DOI: https://doi.org/10.1007/978-3-319-08326-1_6
Sonja Pravilovic, Annalisa Appice, Donato Malerba:
Integrating Cluster Analysis to the ARIMA Model for Forecasting Geosensor Data. ISMIS: 234-243 (2014)
DOI: https://doi.org/10.1007/978-3-319-08326-1_24
Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Donato Malerba:
Network Reconstruction for the Identification of miRNA: mRNA Interaction Networks. ECML/PKDD (3): 508-511 (2014)
DOI: https://doi.org/10.1007/978-3-662-44845-8_46
Annalisa Appice, Donato Malerba:
Leveraging the power of local spatial autocorrelation in geophysical interpolative clustering. Data Min. Knowl. Discov. 28(5): 1266-1313 (2014)
DOI: https://doi.org/10.1007/s10618-014-0372-z
Annalisa Appice, Pietro Guccione, Donato Malerba, Anna Ciampi:
Dealing with temporal and spatial correlations to classify outliers in geophysical data streams. Inf. Sci. 285: 162-180 (2014)
DOI: https://doi.org/10.1016/j.ins.2013.12.009
Gianvito Pio, Fabio Fumarola, Antonio E. Felle, Donato Malerba, Michelangelo Ceci:
Discovering Novelty Patterns from the Ancient Christian Inscriptions of Rome. JOCCH 7(4): 22:1-22:21 (2014)
DOI: https://doi.org/10.1145/2629513
Annalisa Appice, Michelangelo Ceci, Donato Malerba:
Multi-Relational Model Tree Induction Tightly-Coupled with a Relational Database. Fundam. Inform. 129(3): 193-224 (2014)
DOI: https://doi.org/10.3233/FI-2014-969
Sonja Pravilovic, Annalisa Appice, Antonietta Lanza, Donato Malerba:
Wind Power Forecasting Using Time Series Cluster Analysis. Discovery Science: 276-287 (2014)
DOI: https://doi.org/10.1007/978-3-319-11812-3_24
Michelangelo Ceci, Pasqua Fabiana Lanotte, Fabio Fumarola, Dario Pietro Cavallo, Donato Malerba:
Completion Time and Next Activity Prediction of Processes Using Sequential Pattern Mining. Discovery Science: 49-61 (2014)
DOI: https://doi.org/10.1007/978-3-319-11812-3_5
Annalisa Appice, Anna Ciampi, Fabio Fumarola, Donato Malerba:
Data Mining Techniques in Sensor Networks - Summarization, Interpolation and Surveillance. Springer Briefs in Computer Science, Springer: I-XIII, 1- (2014), ISBN: 978-1-4471-5453-2
DOI: https://doi.org/10.1007/978-1-4471-5454-9
Michelangelo Ceci, Nunziato Cassavia, Roberto Corizzo, Pietro Dicosta, Donato Malerba, Gaspare Maria, Elio Masciari, Camillo Pastura:
Big Data Techniques For Renewable Energy Market. SEBD: 369-377 (2014)
Corrado Loglisci, Annalisa Appice, Antonella Montinari, Donato Malerba:
Network Regression in Collective Inference Setting. SEBD: 224-235 (2014)
Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Donato Malerba:
Learning to Combine miRNA Target Predictions: a Semi-supervised Ensemble Learning Approach. SEBD: 21-28 (2014)
Sonja Pravilovic, Annalisa Appice, Antonietta Lanza, Donato Malerba:
Mining Cluster-Based Models of Time Series for Wind Power Prediction. SEBD: 9-20 (2014)


2013
Annalisa Appice, Anna Ciampi, Donato Malerba, Pietro Guccione:
Using trend clusters for spatiotemporal interpolation of missing data in a sensor network. J. Spatial Information Science 6(1): 119-153 (2013)
DOI: https://doi.org/10.5311/JOSIS.2013.6.102
Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Corrado Loglisci, Donato Malerba:
A Novel Biclustering Algorithm for the Discovery of Meaningful Biological Correlations between microRNAs and their Target Genes. BMC Bioinformatics 14: S8 (2013)
DOI: https://doi.org/10.1186/1471-2105-14-S7-S8
Daniela Stojanova, Michelangelo Ceci, Donato Malerba, Sao Deroski:
Using PPI network autocorrelation in hierarchical multi-label classification trees for gene function prediction. BMC Bioinformatics 14: 285 (2013)
DOI: https://doi.org/10.1186/1471-2105-14-285
Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras:
New Frontiers in Mining Complex Patterns - First International Workshop, NFMCP 2012, Held in Conjunction with ECML/PKDD 2012, Bristol, UK, September 24, 2012, Revised Selected Papers NFMCP Lecture Notes in Computer Science 7765, Springer (2013), ISBN: 978-3-642-37381-7
DOI: https://doi.org/10.1007/978-3-642-37382-4
Annalisa Appice, Sonja Pravilovic, Donato Malerba, Antonietta Lanza:
Enhancing Regression Models with Spatio-temporal Indicator Additions. AI*IA: 433-444 (2013)
DOI: https://doi.org/10.1007/978-3-319-03524-6_37
Sonja Pravilovic, Annalisa Appice, Donato Malerba:
An Intelligent Technique for Forecasting Spatially Correlated Time Series. AI*IA: 457-468 (2013)
DOI: https://doi.org/10.1007/978-3-319-03524-6_39
Annalisa Appice, Sonja Pravilovic, Donato Malerba:
Predictive Regional Trees to Supplement Geo-Physical Random Fields. CORES: 259-268 (2013)
DOI: https://doi.org/10.1007/978-3-319-00969-8_25
Daniela Stojanova, Michelangelo Ceci, Donato Malerba, Saso Dzeroski:
Learning Hierarchical Multi-label Classification Trees from Network Data. Discovery Science: 233-248 (2013)
DOI: https://doi.org/10.1007/978-3-642-40897-7_16
Fabio Fumarola, Gianvito Pio, Antonio E. Felle, Donato Malerba, Michelangelo Ceci:
EDB: Knowledge Technologies for Ancient Greek and Latin Epigraphy. IRCDL: 29-40 (2013)
DOI: https://doi.org/10.1007/978-3-642-54347-0_4
Sonja Pravilovic, Annalisa Appice, Donato Malerba:
Process Mining to Forecast the Future of Running Cases. NFMCP: 67-81 (2013)
DOI: https://doi.org/10.1007/978-3-319-08407-7_5
Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Donato Malerba, Saso Dzeroski:
Dealing with spatial autocorrelation when learning predictive clustering trees. Ecological Informatics 13: 22-39 (2013)
DOI: https://doi.org/10.1016/j.ecoinf.2012.10.006
Piero Molino, Gianvito Pio, Corrado Mencar:
Fast Fuzzy Inference in Octave. Int. J. Comput. Intell. Syst. 6(2): 307-317 (2013)
DOI: https://doi.org/10.1080/18756891.2013.769765
Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Corrado Loglisci, Donato Malerba:
HOCCLUS2: A Biclustering Algorithm for the Discovery of miRNA: mRNA regulatory modules. SEBD: 445-452 (2013)
Nicola Di Mauro, Paolo Frasconi, Fabrizio Angiulli, Davide Bacciu, Marco de Gemmis, Floriana Esposito, Nicola Fanizzi, Stefano Ferilli, Marco Gori, Francesca A. Lisi, Pasquale Lops, Donato Malerba, Alessio Micheli, Marcello Pelillo, Francesco Ricci, Fabrizio Riguzzi, Lorenza Saitta, Giovanni Semeraro:
Italian Machine Learning and Data Mining research: The last years. Intelligenza Artificiale 7(2): 77-89 (2013)
DOI: https://doi.org/10.3233/IA-130050
Lucrezia Macchia, Francesco Bonchi, Francesco Gullo, Luca Chiarandini:
Mining Summaries of Propagations. ICDM: 498-507 (2013)
DOI: https://doi.org/10.1109/ICDM.2013.163
Corrado Loglisci:
Time-based discovery in biomedical literature: mining temporal links. IJDATS 5(2): 148-174 (2013)
DOI: https://doi.org/10.1504/IJDATS.2013.053679


2012
Michelangelo Ceci, Fabio Fumarola, Pietro Hiram Guzzi, Federica Mandreoli, Riccardo Martoglia, Elio Masciari, Massimo Mecella, Wilma Penzo:
Toward a Semantic Framework for the Querying, Mining and Visualization of Cancer Microenvironment Data. ITBAM: 109-123 (2012)
DOI: https://doi.org/10.1007/978-3-642-32395-9_9
Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Saso Dzeroski:
Network regression with predictive clustering trees. Data Min. Knowl. Discov. 25(2): 378-413 (2012)
DOI: https://doi.org/10.1007/s10618-012-0278-6
Annalisa Appice, Donato Malerba, Anna Ciampi:
Continuously Mining Sliding Window Trend Clusters in a Sensor Network. DEXA (2): 248-255 (2012)
DOI: https://doi.org/10.1007/978-3-642-32597-7_22
Corrado Loglisci, Dino Ienco, Mathieu Roche, Maguelonne Teisseire, Donato Malerba:
An Unsupervised Framework for Topological Relations Extraction from Geographic Documents. DEXA (2): 48-55 (2012)
DOI: https://doi.org/10.1007/978-3-642-32597-7_5
Lucrezia Macchia, Michelangelo Ceci, Donato Malerba:
Learning to Rank from Concept-Drifting Network Data Streams. DEXA (1): 384-396 (2012)
DOI: https://doi.org/10.1007/978-3-642-32600-4_28
Corrado Loglisci, Dino Ienco, Mathieu Roche, Maguelonne Teisseire, Donato Malerba:
Toward Geographic Information Harvesting: Extraction of Spatial Relational Facts from Web Documents. ICDM Workshops: 789-796 (2012)
DOI: https://doi.org/10.1109/ICDMW.2012.20
Michelangelo Ceci, Corrado Loglisci, Lucrezia Macchia, Donato Malerba, Luciano Quercia:
Document Image Understanding through Iterative Transductive Learning. IRCDL: 117-128 (2012)
DOI: https://doi.org/10.1007/978-3-642-35834-0_13
Michelangelo Ceci, Annalisa Appice, Herna L. Viktor, Donato Malerba, Eric Paquet, Hongyu Guo:
Transductive Relational Classification in the Co-training Paradigm. MLDM: 11-25 (2012)
DOI: https://doi.org/10.1007/978-3-642-31537-4_2
Lucrezia Macchia, Michelangelo Ceci, Donato Malerba:
Mining Ranking Models from Dynamic Network Data. MLDM: 566-577 (2012)
DOI: https://doi.org/10.1007/978-3-642-31537-4_44
Annalisa Appice, Donato Malerba, Antonietta Lanza:
Using Geographic Cost Functions to Discover Vessel Itineraries from AIS Messages. MSM/MUSE: 44-62 (2012)
DOI: https://doi.org/10.1007/978-3-642-45392-2_3
Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Discovering Evolution Chains in Dynamic Networks. NFMCP: 185-199 (2012)
DOI: https://doi.org/10.1007/978-3-642-37382-4_13
Pietro Guccione, Anna Ciampi, Annalisa Appice, Donato Malerba, Angelo Muolo:
Trend cluster based interpolation everywhere in a sensor network. SAC: 827-828 (2012)
DOI: https://doi.org/10.1145/2245276.2245436
Dimitrios Gunopulos, Donato Malerba, Michalis Vazirgiannis:
Guest Editors' Introduction: special issue of selected papers from ECML PKDD 2011. Data Min. Knowl. Discov. 25(2): 169-172 (2012)
DOI: https://doi.org/10.1007/s10618-012-0282-x
Dimitrios Gunopulos, Donato Malerba, Michalis Vazirgiannis:
Guest editors' introduction: special issue of selected papers from ECML PKDD 2011. Machine Learning 89(1): 1-3 (2012)
DOI: https://doi.org/10.1007/s10994-012-5317-4
Michelangelo Ceci, Pietro Hiram Guzzi, Elio Masciari, Mauro Coluccia, Federica Mandreoli, Massimo Mecella, Fabio Fumarola, Riccardo Martoglia, Wilma Penzo:
The IS-BioBank project: a framework for biological data normalization, interoperability, and mining for cancer microenvironment analysis. SIGHIT Record 2(2): 16-21 (2012)
DOI: https://doi.org/10.1145/2384556.2384558
Gianvito Pio, Michelangelo Ceci, Corrado Loglisci, Domenica D'Elia, Donato Malerba:
Hierarchical and Overlapping Co-Clustering of mRNA: miRNA Interactions. ECAI: 654-659 (2012)
DOI: https://doi.org/10.3233/978-1-61499-098-7-654
Anna Ciampi, Annalisa Appice, Pietro Guccione, Donato Malerba:
Integrating Trend Clusters for Spatio-temporal Interpolation of Missing Sensor Data. W2GIS: 203-220 (2012)
DOI: https://doi.org/10.1007/978-3-642-29247-7_15
Michelangelo Ceci, Mauro Coluccia, Fabio Fumarola, Pietro Hiram Guzzi, Federica Mandreoli, Riccardo Martoglia, Elio Masciari, Massimo Mecella, Wilma Penzo:
A Framework for Biological Data Normalization, Interoperability, and Mining for Cancer Microenvironment Analysis. SEBD: 67-74 (2012)
DOI: http://sebd2012.dei.unipd.it/documents/188475/3553ac06-7eed-42d4-b523-9f9bef554fe6
Gianvito Pio, Michelangelo Ceci, Donato Malerba:
Mining Temporal Evolution of Criminal Behaviors. SEBD: 221-232 (2012)
DOI: http://sebd2012.dei.unipd.it/documents/188475/f6772192-bc96-4104-b22c-ee9a13c850f3


2011
Corrado Loglisci, Michelangelo Ceci:
Discovering Temporal Bisociations for Linking Concepts over Time. ECML/PKDD (2): 358-373 (2011)
DOI: https://doi.org/10.1007/978-3-642-23783-6_23
Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Saso Dzeroski:
Network Regression with Predictive Clustering Trees. ECML/PKDD (3): 333-348 (2011)
DOI: https://doi.org/10.1007/978-3-642-23808-6_22
Dimitrios Gunopulos, Thomas Hofmann, Donato Malerba, Michalis Vazirgiannis:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011. Proceedings, Part I ECML/PKDD (1) Lecture Notes in Computer Science 6911, Springer (2011), ISBN: 978-3-642-23779-9
DOI: https://doi.org/10.1007/978-3-642-23780-5
Dimitrios Gunopulos, Thomas Hofmann, Donato Malerba, Michalis Vazirgiannis:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011, Proceedings, Part II ECML/PKDD (2) Lecture Notes in Computer Science 6912, Springer (2011), ISBN: 978-3-642-23782-9
DOI: https://doi.org/10.1007/978-3-642-23783-6
Dimitrios Gunopulos, Thomas Hofmann, Donato Malerba, Michalis Vazirgiannis:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011, Proceedings, Part III ECML/PKDD (3) Lecture Notes in Computer Science 6913, Springer (2011), ISBN: 978-3-642-23807-9
DOI: https://doi.org/10.1007/978-3-642-23808-6
Michelangelo Ceci, Corrado Loglisci, Eliana Salvemini, Domenica D'Elia, Donato Malerba:
Mining Spatial Association Rules for Composite Motif Discovery. Mathematical Approaches to Polymer Sequence Analysis and Related Problems: 87-109 (2011)
DOI: https://doi.org/10.1007/978-1-4419-6800-5_5
Wil M. P. van der Aalst, Arya Adriansyah, Ana Karla Alves de Medeiros, Franco Arcieri, Thomas Baier, Tobias Blickle, R. P. Jagadeesh Chandra Bose, Peter van den Brand, Ronald Brandtjen, Joos C. A. M. Buijs, Andrea Burattin, Josep Carmona, Malú Castellanos, Jan Claes, Jonathan Cook, Nicola Costantini, Francisco Curbera, Ernesto Damiani, Massimiliano de Leoni, Pavlos Delias, Boudewijn F. van Dongen, Marlon Dumas, Schahram Dustdar, Dirk Fahland, Diogo R. Ferreira, Walid Gaaloul, Frank van Geffen, Sukriti Goel, Christian W. Günther, Antonella Guzzo, Paul Harmon, Arthur H. M. ter Hofstede, John Hoogland, Jon Espen Ingvaldsen, Koki Kato, Rudolf Kuhn, Akhil Kumar, Marcello La Rosa, Fabrizio Maria Maggi, Donato Malerba, R. S. Mans, Alberto Manuel, Martin McCreesh, Paola Mello, Jan Mendling, Marco Montali, Hamid R. Motahari Nezhad, Michael zur Muehlen, Jorge Munoz-Gama, Luigi Pontieri, Joel Ribeiro, Anne Rozinat, Hugo Seguel Pérez, Ricardo Seguel Pérez, Marcos Sepúlveda, Jim Sinur, Pnina Soffer, Minseok Song, Alessandro Sperduti, Giovanni Stilo, Casper Stoel, Keith D. Swenson, Maurizio Talamo, Wei Tan, Chris Turner, Jan Vanthienen, George Varvaressos, Eric Verbeek, Marc Verdonk, Roberto Vigo, Jianmin Wang, Barbara Weber, Matthias Weidlich, Ton Weijters, Lijie Wen, Michael Westergaard, Moe Thandar Wynn:
Process Mining Manifesto. Business Process Management Workshops (1): 169-194 (2011)
DOI: https://doi.org/10.1007/978-3-642-28108-2_19
Anna Ciampi, Annalisa Appice, Donato Malerba, Pietro Guccione:
Trend cluster based compression of geographically distributed data streams. CIDM: 168-175 (2011)
DOI: https://doi.org/10.1109/CIDM.2011.5949298
Corrado Loglisci, Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Discovering process models through relational disjunctive patterns mining. CIDM: 200-207 (2011)
DOI: https://doi.org/10.1109/CIDM.2011.5949299
Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
A Temporal Data Mining Framework for Analyzing Longitudinal Data. DEXA (2): 97-106 (2011)
DOI: https://doi.org/10.1007/978-3-642-23091-2_9
Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Donato Malerba, Saso Dzeroski:
Global and Local Spatial Autocorrelation in Predictive Clustering Trees. Discovery Science: 307-322 (2011)
DOI: https://doi.org/10.1007/978-3-642-24477-3_25
Fabio Fumarola, Tim Weninger, Rick Barber, Donato Malerba, Jiawei Han:
Extracting General Lists from Web Documents: A Hybrid Approach. IEA/AIE (1): 285-294 (2011)
DOI: https://doi.org/10.1007/978-3-642-21822-4_29
Michelangelo Ceci, Corrado Loglisci, Stefano Ferilli, Donato Malerba:
Project D.A.M.A.: Document Acquisition, Management and Archiving. IRCDL: 115-118 (2011)
DOI: https://doi.org/10.1007/978-3-642-27302-5_13
Corrado Loglisci, Annalisa Appice, Michelangelo Ceci, Donato Malerba, Floriana Esposito:
MBlab: Molecular Biodiversity Laboratory. IRCDL: 132-135 (2011)
DOI: https://doi.org/10.1007/978-3-642-27302-5_18
Anna Ciampi, Annalisa Appice, Donato Malerba, Angelo Muolo:
Space-Time Roll-up and Drill-down into Geo-Trend Stream Cubes. ISMIS: 365-375 (2011)
DOI: https://doi.org/10.1007/978-3-642-21916-0_40
Donato Malerba, Michelangelo Ceci, Annalisa Appice:
Relational Mining in Spatial Domains: Accomplishments and Challenges. ISMIS: 16-24 (2011)
DOI: https://doi.org/10.1007/978-3-642-21916-0_2
Eliana Salvemini, Fabio Fumarola, Donato Malerba, Jiawei Han:
FAST Sequence Mining Based on Sparse Id-Lists. ISMIS: 316-325 (2011)
DOI: https://doi.org/10.1007/978-3-642-21916-0_35
Michelangelo Ceci, Alfredo Cuzzocrea, Donato Malerba:
OLAP over Continuous Domains via Density-Based Hierarchical Clustering. KES (2): 559-570 (2011)
DOI: https://doi.org/10.1007/978-3-642-23863-5_57
Annalisa Appice, Michelangelo Ceci, Donato Malerba, Antonietta Lanza:
Learning and Transferring Geographically Weighted Regression Trees across Time. MSM/MUSE: 97-117 (2011)
DOI: https://doi.org/10.1007/978-3-642-33684-3_6
Pietro Guccione, Annalisa Appice, Anna Ciampi, Donato Malerba:
Trend Cluster Based Kriging Interpolation in Sensor Data Networks. MSM/MUSE: 118-137 (2011)
DOI: https://doi.org/10.1007/978-3-642-33684-3_7
Fabio Fumarola, Tim Weninger, Rick Barber, Donato Malerba, Jiawei Han:
HyLiEn: a hybrid approach to general list extraction on the web. WWW (Companion Volume): 35-36 (2011)
DOI: https://doi.org/10.1145/1963192.1963211
Tim Weninger, Fabio Fumarola, Cindy Xide Lin, Rick Barber, Jiawei Han, Donato Malerba:
Growing parallel paths for entity-page discovery. WWW (Companion Volume): 145-146 (2011)
DOI: https://doi.org/10.1145/1963192.1963266
Annalisa Appice, Michelangelo Ceci, Antonio Turi, Donato Malerba:
A parallel, distributed algorithm for relational frequent pattern discovery from very large data sets. Intell. Data Anal. 15(1): 69-88 (2011)
DOI: https://doi.org/10.3233/IDA-2010-0456
Michelangelo Ceci, Corrado Loglisci, Donato Malerba:
Transductive Learning of Logical Structures from Document Images. Learning Structure and Schemas from Documents: 121-142 (2011)
DOI: https://doi.org/10.1007/978-3-642-22913-8_6
Tim Weninger, Marina Danilevsky, Fabio Fumarola, Joshua M. Hailpern, Jiawei Han, Thomas J. Johnston, Surya Kallumadi, Hyungsul Kim, Zhijin Li, David McCloskey, Yizhou Sun, Nathan E. TeGrotenhuis, Chi Wang, Xiao Yu:
WINACS: construction and analysis of web-based computer science information networks. SIGMOD Conference: 1255-1258 (2011)
DOI: https://doi.org/10.1145/1989323.1989469
Michelangelo Ceci, Alfredo Cuzzocrea, Donato Malerba:
Supporting Roll-Up and Drill-Down Operations over OLAP Data Cubes with Continuous Dimensions via Density-Based Hierarchical Clustering. SEBD: 57-65 (2011)
Corrado Loglisci, Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Relational Disjunctive Patterns Mining for Discovering Frequent Variants in Process Models. SEBD: 227-238 (2011)


2010
Annalisa Appice, Michelangelo Ceci, Corrado Loglisci:
Discovering Informative Syntactic Relationships between Named Entities in Biomedical Literature. DBKDA: 120-125 (2010)
DOI: https://doi.org/10.1109/DBKDA.2010.14
Michelangelo Ceci:
Transductive Learning from Textual Data with Relevant Example Selection. DEXA (2): 470-484 (2010)
DOI: https://doi.org/10.1007/978-3-642-15251-1_37
Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Relational Learning of Disjunctive Patterns in Spatial Networks. NyNaK (2010)
DOI: http://ceur-ws.org/Vol-655/dynak2010_paper2.pdf
Tim Weninger, Fabio Fumarola, Jiawei Han, Donato Malerba:
Mapping web pages to database records via link paths. CIKM: 1637-1640 (2010)
DOI: https://doi.org/10.1145/1871437.1871692
Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
A Relational Approach for Discovering Frequent Patterns with Disjunctions. DaWak: 263-274 (2010)
DOI: https://doi.org/10.1007/978-3-642-15105-7_21
Anna Ciampi, Annalisa Appice, Donato Malerba:
Online and Offline Trend Cluster Discovery in Spatially Distributed Data Streams. MSM/MUSE: 142-161 (2010)
DOI: https://doi.org/10.1007/978-3-642-23599-3_8
Anna Ciampi, Annalisa Appice, Donato Malerba:
Summarization for Geographically Distributed Data Streams. KES (3): 339-348 (2010)
DOI: https://doi.org/10.1007/978-3-642-15393-8_39
Annalisa Appice, Michelangelo Ceci, Donato Malerba:
Transductive learning for spatial regression with co-training. SAC: 1065-1070 (2010)
DOI: https://doi.org/10.1145/1774088.1774310
Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Donato Malerba:
Complex objects ranking: a relational data mining approach. SAC: 1071-1077 (2010)
DOI: https://doi.org/10.1145/1774088.1774311
Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Transductive Learning for Spatial Data Classification. Advances in Machine Learning I: 189-207 (2010)
DOI: https://doi.org/10.1007/978-3-642-05177-7_9
Tim Weninger, Fabio Fumarola, Rick Barber, Jiawei Han, Donato Malerba:
Unexpected results in automatic list extraction on the web. SIGKDD Explorations 12(2): 26-30 (2010)
DOI: https://doi.org/10.1145/1964897.1964904
Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Time-Slice Density Estimation for Semantic-Based Tourist Destination Suggestion. ECAI: 1107-1108 (2010)
DOI: https://doi.org/10.3233/978-1-60750-606-5-1107
Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Mining Physiological Data for Discovering Temporal Patterns on Disease Stages. ECAI: 1117-1118 (2010)
DOI: https://doi.org/10.3233/978-1-60750-606-5-1117
Michelangelo Ceci, Annalisa Appice, Donato Malerba, Nicola Schirone, Nicola Davide Traversa, Valerio Valrosso:
Suggesting Tourist Destinations by means of Time-Slice Density Estimation. SEBD: 94-105 (2010)
Michelangelo Ceci, Pasqua Fabiana Lanotte:
Hierarchical Transductive Classification from Textual Data with Relevant Example Selection. SEBD: 158-169 (2010)
Anna Ciampi, Annalisa Appice, Donato Malerba, Giuseppe Saponaro, Domenico Triglione:
Clustering Spatio-Temporal Data Streams. SEBD: 230-241 (2010)
Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Discovering Temporal Patterns of Complex Events in Biosignal Data. SEBD: 306-317 (2010)


2009
Antonio Turi, Corrado Loglisci, Eliana Salvemini, Giorgio Grillo, Donato Malerba, Domenica D'Elia:
Computational annotation of UTR cis-regulatory modules through Frequent Pattern Mining. BMC Bioinformatics 10 (2009)
DOI: https://doi.org/10.1186/1471-2105-10-S6-S25
Anna Ciampi, Fabio Fumarola, Annalisa Appice, Donato Malerba:
Approximate Frequent Itemset Discovery from Data Stream. AI*IA: 151-160 (2009)
DOI: https://doi.org/10.1007/978-3-642-10291-2_16
Corrado Loglisci, Donato Malerba:
A Temporal Data Mining Approach for Discovering Knowledge on the Changes of the Patient's Physiology. AIME: 26-35 (2009)
DOI: https://doi.org/10.1007/978-3-642-02976-9_4
Annalisa Appice, Michelangelo Ceci, Donato Malerba:
An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting. Discovery Science: 36-50 (2009)
DOI: https://doi.org/10.1007/978-3-642-04747-3_6
Fabio Fumarola, Anna Ciampi, Annalisa Appice, Donato Malerba:
A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams. Discovery Science: 385-392 (2009)
DOI: https://doi.org/10.1007/978-3-642-04747-3_30
Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Donato Malerba:
Novelty Detection from Evolving Complex Data Streams with Time Windows. ISMIS: 563-572 (2009)
DOI: https://doi.org/10.1007/978-3-642-04125-9_59
Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
A Knowledge-Based Framework for Information Extraction from Clinical Practice Guidelines. ISMIS: 119-128 (2009)
DOI: https://doi.org/10.1007/978-3-642-04125-9_15
Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Carmine Valente, Donato Malerba:
Relational Frequent Patterns Mining for Novelty Detection from Data Streams. MLDM: 427-439 (2009)
DOI: https://doi.org/10.1007/978-3-642-03070-3_32
Corrado Loglisci, Donato Malerba:
Mining Multiple Level Non-redundant Association Rules through Two-Fold Pruning of Redundancies. MLDM: 251-265 (2009)
DOI: https://doi.org/10.1007/978-3-642-03070-3_19
Donato Malerba, Michelangelo Ceci, Annalisa Appice:
A relational approach to probabilistic classification in a transductive setting. Eng. Appl. of AI 22(1): 109-116 (2009)
DOI: https://doi.org/10.1016/j.engappai.2008.04.005
Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Michele Todaro, Donato Malerba:
A Relational Approach to Novelty Detection in Data Streams. SEBD: 89-100 (2009)
Annalisa Appice, Michelangelo Ceci, Vincenzo Rizzi, Marco Romano, Donato Malerba:
Spatial Regression in the Transductive Setting. SEBD: 297-304 (2009)
Michelangelo Ceci, Annalisa Appice, Giuseppe De Giosa, Gianluigi Dileo, Alessandro Lallo, Donato Malerba:
Mining preference relations to rank complex object. SEBD: 313-324 (2009)
Corrado Loglisci, Eliana Salvemini, Antonio Turi, Giorgio Grillo, Donato Malerba, Domenica D'Elia:
Mining Frequent Patterns of Biological Spaced Motifs. SEBD: 117-124 (2009)


2008
Michael May, Bettina Berendt, Antoine Cornuéjols, João Gama, Fosca Giannotti, Andreas Hotho, Donato Malerba, Ernestina Menasalvas, Katharina Morik, Rasmus Ulslev Pedersen, Lorenza Saitta, Yücel Saygin, Assaf Schuster, Koen Vanhoof:
Research Challenges in Ubiquitous Knowledge Discovery. Next Generation of Data Mining (2008)
DOI: https://doi.org/10.1201/9781420085877.ch7
Michelangelo Ceci:
Hierarchical Text Categorization in a Transductive Setting. ICDM Workshops: 184-191 (2008)
DOI: https://doi.org/10.1109/ICDMW.2008.126
Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Emerging Pattern Based Classification in Relational Data Mining. DEXA: 283-296 (2008)
DOI: https://doi.org/10.1007/978-3-540-85654-2_28
Antonio Turi, Annalisa Appice, Michelangelo Ceci, Donato Malerba:
A Grid-Based Multi-relational Approach to Process Mining. DEXA: 701-709 (2008)
DOI: https://doi.org/10.1007/978-3-540-85654-2_61
Annalisa Appice, Anna Ciampi, Antonietta Lanza, Donato Malerba, Antonella Rapolla, Luisa Vetturi:
Geographic Knowledge Discovery in INGENS: An Inductive Database Perspective. ICDM Workshops: 326-331 (2008)
DOI: https://doi.org/10.1109/ICDMW.2008.120
Fabio Fumarola, Eliana Salvemini, Donato Malerba:
A KDD Platform Based on the Application Service Provider Paradigm. ICDM Workshops: 983-986 (2008)
DOI: https://doi.org/10.1109/ICDMW.2008.100
Corrado Loglisci, Donato Malerba:
Discovering Triggering Events from Longitudinal Data. ICDM Workshops: 248-256 (2008)
DOI: https://doi.org/10.1109/ICDMW.2008.136
Annalisa Appice, Michelangelo Ceci, Donato Malerba:
Top-Down Induction of Relational Model Trees in Multi-instance Learning. ILP: 24-41 (2008)
DOI: https://doi.org/10.1007/978-3-540-85928-4_7
Annalisa Appice, Michelangelo Ceci, Donato Malerba, Savino Saponara:
Stepwise Induction of Logistic Model Trees. ISMIS: 68-77 (2008)
DOI: https://doi.org/10.1007/978-3-540-68123-6_7
Michelangelo Ceci, Annalisa Appice, Costantina Caruso, Donato Malerba:
Discovering Emerging Patterns for Anomaly Detection in Network Connection Data. ISMIS: 179-188 (2008)
DOI: https://doi.org/10.1007/978-3-540-68123-6_20
Corrado Loglisci, Donato Malerba:
Discovering Explanations from Longitudinal Data. ISMIS: 196-202 (2008)
DOI: https://doi.org/10.1007/978-3-540-68123-6_22
Donato Malerba:
A relational perspective on spatial data mining. IJDMMM 1(1): 103-118 (2008)
DOI: https://doi.org/10.1504/IJDMMM.2008.022540
Donato Malerba, Michelangelo Ceci, Margherita Berardi:
Machine Learning for Reading Order Detection in Document Image Understanding. Machine Learning in Document Analysis and Recognition: 45-69 (2008)
DOI: https://doi.org/10.1007/978-3-540-76280-5_3
Michelangelo Ceci, Annalisa Appice, Lucrezia Macchia, Donato Malerba:
Relational Classification based on Emerging Patterns. SEBD: 45-56 (2008)
Fabio Fumarola, Eliana Salvemini, Donato Malerba:
KD-ASP - A distributed collaborative data mining platform. SEBD: 109-120 (2008)
Antonio Turi, Annalisa Appice, Michelangelo Ceci, Donato Malerba:
Distributed Discovery of Multi-Level Approximate Process Patterns. SEBD: 57-68 (2008)


2007
Michelangelo Ceci, Margherita Berardi, G. Porcelli, Donato Malerba:
A Data Mining Approach to Reading Order Detection. ICDAR: 924-928 (2007)
DOI: https://doi.org/10.1109/ICDAR.2007.4377050
Donato Malerba, Michelangelo Ceci:
Learning to Order: A Relational Approach. MCD: 209-223 (2007)
DOI: https://doi.org/10.1007/978-3-540-68416-9_17
Annalisa Appice, Antonietta Lanza, Donato Malerba:
An Integrated Platform for Spatial Data Mining within a GIS Environment. ICDE Workshops: 507-516 (2007)
DOI: https://doi.org/10.1109/ICDEW.2007.4401036
Costantina Caruso, Donato Malerba:
A Data Mining Methodology for Anomaly Detection in Network Data. KES (2): 109-116 (2007)
DOI: https://doi.org/10.1007/978-3-540-74827-4_14
Michelangelo Ceci, Margherita Berardi, Donato Malerba:
Relational Data Mining and ILP for Document Image Understanding. Applied Artificial Intelligence 21(4): 317-342 (2007)
DOI: https://doi.org/10.1080/08839510701252551
Floriana Esposito, Donato Malerba, Giovanni Semeraro:
Introduction to the special issue. Appl. Intell. 26(2): 81-82 (2007)
DOI: https://doi.org/10.1007/s10489-006-0010-6
Oronzo Altamura, Margherita Berardi, Michelangelo Ceci, Donato Malerba, Antonio Varlaro:
Using colour information to understand censorship cards of film archives. IJDAR 9(2): 281-297 (2007)
DOI: https://doi.org/10.1007/s10032-006-0021-1
Michelangelo Ceci, Donato Malerba:
Classifying web documents in a hierarchy of categories: a comprehensive study. J. Intell. Inf. Syst. 28(1): 37-78 (2007)
DOI: https://doi.org/10.1007/s10844-006-0003-2
Annalisa Appice, Saso Dzeroski:
Stepwise Induction of Multi-target Model Trees. ECML: 502-509 (2007)
DOI: https://doi.org/10.1007/978-3-540-74958-5_46
Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Discovering Emerging Patterns in Spatial Databases: A Multi-relational Approach. PKDD: 390-397 (2007)
DOI: https://doi.org/10.1007/978-3-540-74976-9_38
Annalisa Appice, Michelangelo Ceci, Carlo Malgieri, Donato Malerba:
Discovering Relational Emerging Patterns. AI*IA: 206-217 (2007)
DOI: https://doi.org/10.1007/978-3-540-74782-6_19
Michelangelo Ceci, Annalisa Appice, Nicola Barile, Donato Malerba:
Transductive Learning from Relational Data. MLDM: 324-338 (2007)
DOI: https://doi.org/10.1007/978-3-540-73499-4_25
Michelangelo Ceci, Donato Malerba, Letizia Tanca:
Proceedings of the Fifteenth Italian Symposium on Advanced Database Systems, SEBD 2007, 17-20 June 2007, Torre Canne, Fasano, BR, Italy SEBD (2007), ISBN: 978-88-902981-0-3
Annalisa Appice, Saso Dzeroski:
Inducing Multi-Target Model Trees in a Stepwise Fashion. SEBD: 16-27 (2007)
Costantina Caruso:
A Data Mining Methodology for Anomaly Detection in Network Data: Choosing System-Defined Decision Boundaries. SEBD: 332-340 (2007)
Corrado Loglisci, Margherita Berardi, Saverio D'Alessandro, Pietro Leo:
Finding Generalized Closed Frequent Itemsets for Mining Non Redundant Association Rules. SEBD: 184-195 (2007)
Antonio Varlaro, Annalisa Appice, Antonietta Lanza, Antonio Fittipaldi:
On Homogeneity Evaluation and Seed Selection in Clustering Relational Data. SEBD: 471-478 (2007)


2006
Michelangelo Ceci, Annalisa Appice:
Spatial associative classification: propositional vs structural approach. J. Intell. Inf. Syst. 27(3): 191-213 (2006)
DOI: https://doi.org/10.1007/s10844-006-9950-x
Floriana Esposito, Zbigniew W. Ras, Donato Malerba, Giovanni Semeraro:
Foundations of Intelligent Systems, 16th International Symposium, ISMIS 2006, Bari, Italy, September 27-29, 2006, Proceedings ISMIS Lecture Notes in Computer Science 4203, Springer (2006), ISBN: 3-540-45764-X
DOI: https://doi.org/10.1007/11875604
Gennady L. Andrienko, Donato Malerba, Michael May, Maguelonne Teisseire:
Mining spatio-temporal data. J. Intell. Inf. Syst. 27(3): 187-190 (2006)
DOI: https://doi.org/10.1007/s10844-006-9949-3
Margherita Berardi, Donato Malerba, Marcella Attimonelli:
Mining Information Extraction Models for HmtDB annotation. ICDM Workshops: 207-212 (2006)
DOI: https://doi.org/10.1109/ICDMW.2006.113
Corrado Loglisci, Margherita Berardi:
Segmentation of Evolving Complex Data and Generation of Models. ICDM Workshops: 269-273 (2006)
DOI: https://doi.org/10.1109/ICDMW.2006.144
Annalisa Appice, Michelangelo Ceci:
Mining Tolerance Regions with Model Trees. ISMIS: 560-569 (2006)
DOI: https://doi.org/10.1007/11875604_63
Margherita Berardi, Annalisa Appice, Corrado Loglisci, Pietro Leo:
Supporting Visual Exploration of Discovered Association Rules Through Multi-Dimensional Scaling. ISMIS: 369-378 (2006)
DOI: https://doi.org/10.1007/11875604_43
Margherita Berardi, Donato Malerba:
Learning Recursive Patterns for Biomedical Information Extraction. ILP: 79-93 (2006)
DOI: https://doi.org/10.1007/978-3-540-73847-3_15
Annalisa Appice, Claudia d'Amato, Floriana Esposito, Donato Malerba:
Classification of symbolic objects: A lazy learning approach. Intell. Data Anal. 10(4): 301-324 (2006)
DOI: http://content.iospress.com/articles/intelligent-data-analysis/ida00252
Annalisa Appice, Floriana Esposito, Donato Malerba:
Classifying Aggregated Data: a Symbolic Data Analysis Approach. SEBD: 105-116 (2006)
Michelangelo Ceci, Donato Malerba:
Relational Data Mining Techniques for Historical Document Processing. SEBD: 309-320 (2006)


2005
Annalisa Appice:
Learning relational model trees. (2005)
DOI: https://opac.bncf.firenze.sbn.it/bncf-prod/resource?uri=BNI0013541
Michelangelo Ceci:
Naive bayesian learning from structural data. (2005)
DOI: https://opac.bncf.firenze.sbn.it/bncf-prod/resource?uri=BNI0013516
Annalisa Appice, Michelangelo Ceci, Donato Malerba:
Mining Relational Association Rules for Propositional Classification. AI*IA: 522-534 (2005)
DOI: https://doi.org/10.1007/11558590_53
Michelangelo Ceci, Margherita Berardi, Donato Malerba:
Relational Learning: Statistical Approach Versus Logical Approach in Document Image Understanding. AI*IA: 418-429 (2005)
DOI: https://doi.org/10.1007/11558590_42
Margherita Berardi, Oronzo Altamura, Michelangelo Ceci, Donato Malerba:
A color-based layout analysis to process censorship cards of film archives. ICDAR: 1110-1114 (2005)
DOI: https://doi.org/10.1109/ICDAR.2005.2
Michelangelo Ceci, Margherita Berardi, Donato Malerba:
Relational Learning techniques for Document Image Understanding: Comparing Statistical and Logical approaches. ICDAR: 473-477 (2005)
DOI: https://doi.org/10.1109/ICDAR.2005.201
Donato Malerba, Michelangelo Ceci, Annalisa Appice:
Mining Model Trees from Spatial Data. PKDD: 169-180 (2005)
DOI: https://doi.org/10.1007/11564126_20
Donato Malerba, Annalisa Appice, Antonio Varlaro, Antonietta Lanza:
Spatial Clustering of Structured Objects. ILP: 227-245 (2005)
DOI: https://doi.org/10.1007/11536314_14
Costantina Caruso, Donato Malerba, Davide Papagni:
Learning the Daily Model of Network Traffic. ISMIS: 131-141 (2005)
DOI: https://doi.org/10.1007/11425274_14
Annalisa Appice, Margherita Berardi, Michelangelo Ceci, Donato Malerba:
Mining and Filtering Multi-level Spatial Association Rules with ARES. ISMIS: 342-353 (2005)
DOI: https://doi.org/10.1007/11425274_36
Annalisa Appice, Paolo Buono:
Analyzing Multi-level Spatial Association Rules Through a Graph-Based Visualization. IEA/AIE: 448-458 (2005)
DOI: https://doi.org/10.1007/11504894_63
Margherita Berardi, Michele Lapi, Pietro Leo, Corrado Loglisci:
Mining Generalized Association Rules on Biomedical Literature. IEA/AIE: 500-509 (2005)
DOI: https://doi.org/10.1007/11504894_68
Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Propositionalization Through Relational Association Rules Mining. SEBD: 125-136 (2005)
Antonio Varlaro, Annalisa Appice, Antonietta Lanza, Donato Malerba, Giuseppe Guarnieri:
Relational Clustering with Discrete Spatial Structure. SEBD: 149-160 (2005)


2004
Annalisa Appice, Michelangelo Ceci, Simon Alan Rawles, Peter A. Flach:
Redundant feature elimination for multi-class problems. ICML (2004)
DOI: https://doi.org/10.1145/1015330.1015397
Floriana Esposito, Donato Malerba, Giovanni Semeraro, Stefano Ferilli, Oronzo Altamura, Teresa Maria Altomare Basile, Margherita Berardi, Michelangelo Ceci, Nicola Di Mauro:
Machine Learning Methods for Automatically Processing Historical Documents: From Paper Acquisition to XML Transformation. DIAL: 328-335 (2004)
DOI: https://doi.org/10.1109/DIAL.2004.1263262
Lerina Aversano, Gerardo Canfora, Anna Ciampi:
An Algorithm for Web Service Discovery through Their Composition. ICWS: 332- (2004)
DOI: https://doi.org/10.1109/ICWS.2004.1314755
Donato Malerba, Floriana Esposito, Michelangelo Ceci, Annalisa Appice:
Top-Down Induction of Model Trees with Regression and Splitting Nodes. IEEE Trans. Pattern Anal. Mach. Intell. 26(5): 612-625 (2004)
DOI: https://doi.org/10.1109/TPAMI.2004.1273937
Francesca A. Lisi, Donato Malerba:
Inducing Multi-Level Association Rules from Multiple Relations. Machine Learning 55(2): 175-210 (2004)
DOI: https://doi.org/10.1023/B:MACH.0000023151.65011.a3
Donato Malerba, Annalisa Appice, Michelangelo Ceci:
A Data Mining Query Language for Knowledge Discovery in a Geographical Information System. Database Support for Data Mining Applications: 95-116 (2004)
DOI: https://doi.org/10.1007/978-3-540-44497-8_5
Margherita Berardi, Michele Lapi, Donato Malerba:
An Integrated Approach for Automatic Semantic Structure Extraction in Document Images. Document Analysis Systems: 179-190 (2004)
DOI: https://doi.org/10.1007/978-3-540-28640-0_17
Margherita Berardi, Michele Lapi, Pietro Leo, Donato Malerba, Caterina Marinelli, Gaetano Scioscia:
A Data Mining Approach to PubMed Query Refinement. DEXA Workshops: 401-405 (2004)
DOI: https://doi.org/10.1109/DEXA.2004.1333507
Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach. PKDD: 99-111 (2004)
DOI: https://doi.org/10.1007/978-3-540-30116-5_12
Margherita Berardi, Antonio Varlaro, Donato Malerba:
On the Effect of Caching in Recursive Theory Learning. ILP: 44-62 (2004)
DOI: https://doi.org/10.1007/978-3-540-30109-7_8
Annalisa Appice, Margherita Berardi, Michelangelo Ceci, Michele Lapi, Donato Malerba, Antonio Turi:
Mining interesting spatial association rules: two case studies. SEBD: 86-97 (2004)


2003
Donato Malerba, Floriana Esposito, Oronzo Altamura, Michelangelo Ceci, Margherita Berardi:
Correcting the Document Layout: A Machine Learning Approach. ICDAR: 97- (2003)
DOI: https://doi.org/10.1109/ICDAR.2003.1227635
Maria Francesca Costabile, Donato Malerba:
Editor's foreword. J. Vis. Lang. Comput. 14(6): 499-501 (2003)
DOI: https://doi.org/10.1016/j.jvlc.2003.08.001
Donato Malerba, Floriana Esposito, Antonietta Lanza, Francesca A. Lisi, Annalisa Appice:
Empowering a GIS with inductive learning capabilities: the case of INGENS. Computers, Environment and Urban Systems 27(3): 265-281 (2003)
DOI: https://doi.org/10.1016/S0198-9715(02)00024-8
Donato Malerba, Michelangelo Ceci, Margherita Berardi:
XML and Knowledge Technologies for Semantic-Based Indexing of Paper Documents. DEXA: 256-265 (2003)
DOI: https://doi.org/10.1007/978-3-540-45227-0_26
Ingo Frommholz, Holger Brocks, Ulrich Thiel, Erich J. Neuhold, Luigi Iannone, Giovanni Semeraro, Margherita Berardi, Michelangelo Ceci:
Document-Centered Collaboration for Scholars in the Humanities - The COLLATE System. ECDL: 434-445 (2003)
DOI: https://doi.org/10.1007/978-3-540-45175-4_40
Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Comparing Simplification Methods for Model Trees with Regression and Splitting Nodes. ISMIS: 49-56 (2003)
DOI: https://doi.org/10.1007/978-3-540-39592-8_8
Michelangelo Ceci, Annalisa Appice, Donato Malerba, Vincenzo Colonna:
Multi-relational Structural Bayesian Classifier. AI*IA: 250-261 (2003)
DOI: https://doi.org/10.1007/978-3-540-39853-0_21
Francesca A. Lisi, Donato Malerba:
Bridging the Gap between Horn Clausal Logic and Description Logics in Inductive Learning. AI*IA: 53-64 (2003)
DOI: https://doi.org/10.1007/978-3-540-39853-0_5
Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Mr-SBC: A Multi-relational Naïve Bayes Classifier. PKDD: 95-106 (2003)
DOI: https://doi.org/10.1007/978-3-540-39804-2_11
Michelangelo Ceci, Donato Malerba:
Hierarchical Classification of HTML Documents with WebClassII. ECIR: 57-72 (2003)
DOI: https://doi.org/10.1007/3-540-36618-0_5
Annalisa Appice, Michelangelo Ceci, Donato Malerba:
Mining Model Trees: A Multi-relational Approach. ILP: 4-21 (2003)
DOI: https://doi.org/10.1007/978-3-540-39917-9_3
Francesca A. Lisi, Donato Malerba:
Ideal Refinement of Descriptions in AL-Log. ILP: 215-232 (2003)
DOI: https://doi.org/10.1007/978-3-540-39917-9_15
Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Simplification Methods for Model Trees with Regression and Splitting Nodes. MLDM: 20-34 (2003)
DOI: https://doi.org/10.1007/3-540-45065-3_3
Donato Malerba:
Learning Recursive Theories in the Normal ILP Setting. Fundam. Inform. 57(1): 39-77 (2003)
DOI: http://content.iospress.com/articles/fundamenta-informaticae/fi57-1-03
Annalisa Appice, Michelangelo Ceci, Antonietta Lanza, Francesca A. Lisi, Donato Malerba:
Discovery of spatial association rules in geo-referenced census data: A relational mining approach. Intell. Data Anal. 7(6): 541-566 (2003)
DOI: http://content.iospress.com/articles/intelligent-data-analysis/ida00146
Paula Brito, Donato Malerba:
Guest-editorial: Mining official data. Intell. Data Anal. 7(6): 497-500 (2003)
DOI: http://content.iospress.com/articles/intelligent-data-analysis/ida00143
Margherita Berardi, Michelangelo Ceci, Floriana Esposito, Donato Malerba:
Learning Logic Programs for Layout Analysis Correction. ICML: 27-34 (2003)
DOI: http://www.aaai.org/Library/ICML/2003/icml03-007.php
Annalisa Appice, Michelangelo Ceci, Donato Malerba:
MR-SMOTI: A Data Mining System for Regression Tasks Tightly-Coupled with a Relational Database. KDID: 17-27 (2003)
Michelangelo Ceci, Floriana Esposito, Michele Lapi, Donato Malerba:
Automated Classification of Web Documents into a Hierarchy of Categories. IIS: 59-68 (2003)
Annalisa Appice, Michelangelo Ceci, Floriana Esposito, Donato Malerba:
Mining Model Trees with Regression and Splitting Nodes. SEBD: 495-506 (2003)
Annalisa Appice, Michelangelo Ceci, Donato Malerba, D. Sacchi:
Stepwise Model Tree Induction in a Multi-Relational Framework. SEBD: 281-292 (2003)
Francesca A. Lisi, Donato Malerba:
Towards Object-Relational Data Mining. SEBD: 269-280 (2003)


2002
Donato Malerba, Annalisa Appice, Michelangelo Ceci, Marianna Monopoli:
Trading-Off Local versus Global Effects of Regression Nodes in Model Trees. ISMIS: 393-402 (2002)
DOI: https://doi.org/10.1007/3-540-48050-1_43
Donato Malerba, Floriana Esposito, Oronzo Altamura:
Adaptive Layout Analysis of Document Images. ISMIS: 526-534 (2002)
DOI: https://doi.org/10.1007/3-540-48050-1_56
Donato Malerba, Floriana Esposito, Michelangelo Ceci:
Mining HTML Pages to Support Document Sharing in a Cooperative System. EDBT Workshops: 420-434 (2002)
DOI: https://doi.org/10.1007/3-540-36128-6_25
Annalisa Appice, Michelangelo Ceci, Donato Malerba:
KDB2000: Uno strumento per la scoperta della conoscenza. SEBD: 417-421 (2002)
Francesca A. Lisi, Donato Malerba:
Efficient Discovery of Multiple-level Patterns. SEBD: 237-250 (2002)
Donato Malerba, Annalisa Appice, Michelangelo Ceci, Nicola Vacca:
Mining Classification and Association Rules in Geographical Data with SDMOQL. SEBD: 251-264 (2002)
Donato Malerba, Francesca Esposito, Marianna Monopoli:
Estrazione e matching di oggetti simbolici da database relazionali. SEBD: 265-272 (2002)


2001
Donato Malerba, Floriana Esposito, Francesca A. Lisi, Oronzo Altamura:
Automated Discovery of Dependencies Between Logical Components in Document Image Understanding. ICDAR: 174-178 (2001)
DOI: https://doi.org/10.1109/ICDAR.2001.953778
Floriana Esposito, Donato Malerba:
Machine Learning in Computer Vision (Editorial). Applied Artificial Intelligence 15(8): 693-705 (2001)
DOI: https://doi.org/10.1080/088395101317018546
Oronzo Altamura, Floriana Esposito, Donato Malerba:
Transforming paper documents into XML format with WISDOM++. IJDAR 4(1): 2-17 (2001)
DOI: https://doi.org/10.1007/PL00013569
Donato Malerba, Annalisa Appice, Antonia Bellino, Michelangelo Ceci, Domenico Pallotta:
Stepwise Induction of Model Trees. AI*IA: 20-32 (2001)
DOI: https://doi.org/10.1007/3-540-45411-X_3
Antonietta Lanza, Donato Malerba, Francesca A. Lisi, Annalisa Appice, Michelangelo Ceci:
Generating Logic Descriptions for the Automated Interpretation of Topographic Maps. GREC: 200-210 (2001)
DOI: https://doi.org/10.1007/3-540-45868-9_17
Donato Malerba, Francesca A. Lisi:
Discovering Associations between Spatial Objects: An ILP Application. ILP: 156-163 (2001)
DOI: https://doi.org/10.1007/3-540-44797-0_13
Donato Malerba, Floriana Esposito, Antonietta Lanza, Francesca A. Lisi:
First-Order Rule Induction for the Recognition of Morphological Patterns in Topographic Maps. MLDM: 88-101 (2001)
DOI: https://doi.org/10.1007/3-540-44596-X_8
Francesca Esposito, Donato Malerba, Pierpaolo Golia, Luigi Mastrapasqua, Nunzio Mastrapasqua:
Web Content Mining with WebClass. SEBD: 299-313 (2001)
Donato Malerba, Floriana Esposito, Francesca A. Lisi:
Mining Association Rules in Spatial Databases: A Logic-based Computational Method. SEBD: 223-237 (2001)
Floriana Esposito, Donato Malerba, Vittorio Marengo:
Inductive learning from numerical and symbolic data: An integrated framework. Intell. Data Anal. 5(6): 445-461 (2001)
DOI: http://content.iospress.com/articles/intelligent-data-analysis/ida00070
Floriana Esposito, Donato Malerba, Francesca A. Lisi:
Multiple Predicate Learning for Document Image Understanding. FLAIRS Conference: 372-376 (2001)
DOI: http://www.aaai.org/Library/FLAIRS/2001/flairs01-072.php
Donato Malerba, Floriana Esposito, Francesca A. Lisi:
A Logical Framework for Frequent Pattern Discovery in Spatial Data. FLAIRS Conference: 557-561 (2001)
DOI: http://www.aaai.org/Library/FLAIRS/2001/flairs01-107.php


2000
Floriana Esposito, Donato Malerba, Francesca A. Lisi:
Machine Learning for Intelligent Processing of Printed Documents. J. Intell. Inf. Syst. 14(2): 175-198 (2000)
DOI: https://doi.org/10.1023/A:1008735902918
Donato Malerba, Floriana Esposito, Antonietta Lanza, Francesca A. Lisi:
Discovering Geographic Knowledge: The INGENS System. ISMIS: 40-48 (2000)
DOI: https://doi.org/10.1007/3-540-39963-1_5
Floriana Esposito, Donato Malerba, Francesca A. Lisi:
Induction of Recursive Theories in the Normal ILP Setting: Issues and Solutions. ILP: 93-111 (2000)
DOI: https://doi.org/10.1007/3-540-44960-4_6


1999
Floriana Esposito, Donato Malerba, Francesca A. Lisi:
Machine Learning for Intelligent Document Processing: The WISDOM System. ISMIS: 103-113 (1999)
DOI: https://doi.org/10.1007/BFb0095095
Oronzo Altamura, Floriana Esposito, Donato Malerba:
WISDOM++: An Interactive and Adaptive Document Analysis System. ICDAR: 366-369 (1999)
DOI: https://doi.org/10.1109/ICDAR.1999.791800
Floriana Esposito, Donato Malerba, Luigi Di Pace, Pietro Leo:
A Machine Learning Approach to Web Mining. AI*IA: 190-201 (1999)
DOI: https://doi.org/10.1007/3-540-46238-4_17
Oronzo Altamura, Floriana Esposito, Francesca A. Lisi, Donato Malerba:
Symbolic Learning Techniques in Paper Document Processing. MLDM: 159-173 (1999)
DOI: https://doi.org/10.1007/3-540-48097-8_13


1998
Donato Malerba, Floriana Esposito, Francesca A. Lisi:
Learning Recursive Theories with ATRE. ECAI: 435-439 (1998)
Floriana Esposito, Donato Malerba, Giovanni Semeraro, Nicola Fanizzi, Stefano Ferilli:
Adding Machine Learning and Knowledge Intensive Techniques to a Digital Library Service. Int. J. on Digital Libraries 2(1): 3-19 (1998)
DOI: https://doi.org/10.1007/s007990050033
Maria Francesca Costabile, Donato Malerba, Matthias Hemmje, Aldo Paradiso:
Building Metaphors for Supporting User Interaction with Multimedia Databases. VDB: 47-65 (1998)
Maria Francesca Costabile, Donato Malerba, Matthias Hemmje, Aldo Paradiso:
Metaphors for Supporting User Interaction with Multimedia Databases - a demonstration. VDB: 154-160 (1998)


1997
Floriana Esposito, Antonietta Lanza, Donato Malerba, Giovanni Semeraro:
Machine Learning for Map Interpretation: An Intelligent Tool for Environmental Planning. Applied Artificial Intelligence 11(7): 673-696 (1997)
DOI: https://doi.org/10.1080/088395197117984
Floriana Esposito, Donato Malerba, Vincenza Ripa, Giovanni Semeraro:
Discovering Causal Rules in Relational Databases. Applied Artificial Intelligence 11(1): 71-84 (1997)
DOI: https://doi.org/10.1080/088395197118352
Floriana Esposito, Donato Malerba, Giovanni Semeraro:
A Comparative Analysis of Methods for Pruning Decision Trees. IEEE Trans. Pattern Anal. Mach. Intell. 19(5): 476-491 (1997)
DOI: https://doi.org/10.1109/34.589207
Floriana Esposito, Donato Malerba, Giovanni Semeraro, Cesare Daniele Antifora, Gioacchino de Gennaro:
Information Capture and Semantic Indexing of Digital Libraries through Machine Learning Techniques. ICDAR: 722-727 (1997)
DOI: https://doi.org/10.1109/ICDAR.1997.620603
Donato Malerba, Floriana Esposito, Giovanni Semeraro, Sergio Caggese:
Handling Continuous Data in Top-Down Induction of First-Order Rules. AI*IA: 24-35 (1997)
DOI: https://doi.org/10.1007/3-540-63576-9_93
Donato Malerba, Floriana Esposito, Giovanni Semeraro, Luca de Filippis:
Processing Paper Documents with WISDOM. AI*IA: 439-442 (1997)
DOI: https://doi.org/10.1007/3-540-63576-9_131
Giovanni Semeraro, Floriana Esposito, Donato Malerba, Nicola Fanizzi, Stefano Ferilli, Pasquale Lops:
IDL: A Prototypical Intelligent Digital Library Service. AI*IA: 447-450 (1997)
DOI: https://doi.org/10.1007/3-540-63576-9_133
Giovanni Semeraro, Floriana Esposito, Donato Malerba, Nicola Fanizzi, Stefano Ferilli:
Machine Learning + On-line Libraries = IDL. ECDL: 195-214 (1997)
DOI: https://doi.org/10.1007/BFb0026729
Floriana Esposito, Donato Malerba, Giovanni Semeraro, Stefano Ferilli:
Knowledge Revision for Document Understanding. ISMIS: 619-628 (1997)
DOI: https://doi.org/10.1007/3-540-63614-5_60
Giovanni Semeraro, Floriana Esposito, Donato Malerba, Nicola Fanizzi, Stefano Ferilli:
A Logic Framework for the Incremental Inductive Synthesis of Datalog Theories. LOPSTR: 300-321 (1997)
DOI: https://doi.org/10.1007/3-540-49674-2_16


1996
Floriana Esposito, Angela Laterza, Donato Malerba, Giovanni Semeraro:
Locally Finite, Proper and Complete Operators for Refining Datalog Programs. ISMIS: 468-478 (1996)
DOI: https://doi.org/10.1007/3-540-61286-6_171


1995
Donato Malerba:
Page Blocks Classification., UC Irvine Machine Learning Repository (1995)
DOI: https://doi.org/10.24432/C5J590
Giovanni Semeraro, Floriana Esposito, Nicola Fanizzi, Donato Malerba:
Revision of Logical Theories. AI*IA: 365-376 (1995)
DOI: https://doi.org/10.1007/3-540-60437-5_36
Donato Malerba, Floriana Esposito, Giovanni Semeraro:
A Further Comparison of Simplification Methods for Decision-Tree Induction. AISTATS: 365-374 (1995)
DOI: https://doi.org/10.1007/978-1-4612-2404-4_35
Floriana Esposito, Donato Malerba, Giovanni Semeraro:
A knowledge-based approach to the layout analysis. ICDAR: 466-471 (1995)
DOI: https://doi.org/10.1109/ICDAR.1995.599037
Floriana Esposito, Donato Malerba, Giovanni Semeraro:
Simplifying Decision Trees by Pruning and Grafting: New Results (Extended Abstract). ECML: 287-290 (1995)
DOI: https://doi.org/10.1007/3-540-59286-5_69
Giovanni Semeraro, Floriana Esposito, Donato Malerba:
Ideal Refinement of Datalog Programs. LOPSTR: 120-136 (1995)
DOI: https://doi.org/10.1007/3-540-60939-3_9
Floriana Esposito, Nicola Fanizzi, Donato Malerba, Giovanni Semeraro:
Downward Refinement of Hierarchical Datalog Theories. GULP-PRODE: 148-159 (1995)


1994
Donato Malerba:
Document Understanding., UC Irvine Machine Learning Repository (1994)
DOI: https://doi.org/10.24432/C5260K
Floriana Esposito, Donato Malerba, Giovanni Semeraro:
multistrategy learning for document recognition. Applied Artificial Intelligence 8(1): 33-84 (1994)
DOI: https://doi.org/10.1080/08839519408945432
Donato Malerba, Giovanni Semeraro, Floriana Esposito:
An Analytic and Empirical Comparison of Two Methods for Discovering Probabilistic Causal Relationships. ECML: 198-216 (1994)
DOI: https://doi.org/10.1007/3-540-57868-4_59
Floriana Esposito, Donato Malerba, Giovanni Semeraro:
Traps and Pitfalls when Learning Logical Definitions from Relations. ISMIS: 376-385 (1994)
DOI: https://doi.org/10.1007/3-540-58495-1_38
Giovanni Semeraro, Floriana Esposito, Donato Malerba, Clifford Brunk, Michael J. Pazzani:
Avoiding Non-Termination when Learning Logical Programs: A Case Study with FOIL and FOCL. LOPSTR: 183-198 (1994)
DOI: https://doi.org/10.1007/3-540-58792-6_12


1993
Floriana Esposito, Donato Malerba, Giovanni Semeraro:
Automated acquisition of rules for document understanding. ICDAR: 650-654 (1993)
DOI: https://doi.org/10.1109/ICDAR.1993.395653
Floriana Esposito, Donato Malerba, Giovanni Semeraro:
Negation as a Specializing Operator. AI*IA: 166-177 (1993)
DOI: https://doi.org/10.1007/3-540-57292-9_55
Floriana Esposito, Donato Malerba, Giovanni Semeraro:
Decision Tree Pruning as a Search in the State Space. ECML: 165-184 (1993)
DOI: https://doi.org/10.1007/3-540-56602-3_135
Floriana Esposito, Donato Malerba, Giovanni Semeraro:
Machine Learning Techniques for Knowledge Acquisition and Refinement. SEKE: 319-323 (1993)


1992
Floriana Esposito, Donato Malerba, Giovanni Semeraro:
Classification in Noisy Environments Using a Distance Measure Between Structural Symbolic Descriptions. IEEE Trans. Pattern Anal. Mach. Intell. 14(3): 390-402 (1992)
DOI: https://doi.org/10.1109/34.120333


1991
Floriana Esposito, Donato Malerba, Giovanni Semeraro:
Flexible Matching for Noisy Structural Descriptions. IJCAI: 658-664 (1991)
DOI: http://ijcai.org/Proceedings/91-2/Papers/008.pdf


1990
Floriana Esposito, Donato Malerba, Giovanni Semeraro, Enrico Annese, Giovanna Scafuro:
An experimental page layout recognition system for office document automatic classification: an integrated approach for inductive generalization. ICPR (1): 557-562 (1990)
DOI: https://doi.org/10.1109/ICPR.1990.118164
Floriana Esposito, Donato Malerba, Giovanni Semeraro:
A Distance Measure for Decision Making in Uncertain Domains. IPMU: 538-547 (1990)
DOI: https://doi.org/10.1007/BFb0028141