Donato Malerba is a full professor at the Dept. of Computer Science, University of Bari, Italy. His research activity mainly concerns machine learning, data mining and Big Data. He published more than 200 papers in international journals and conference proceedings. He has been responsible for the local research unit of several European and National projects, and received an IBM Faculty Award in 2004. He is the Director of the Computer Science Department of the University of Bari and of the CINI Lab on Big Data. He is in the Board of Directors of the Big Data Value Association and in the Partnership Board of the PPP Big Data Value. He was Program (co-)Chair of IEA-AIE 2005, ISMIS 2006, SEBD 2007, ECMLPKDD 2011, and General Chair of ALT/DS 2016. He is in the editorial board of several international journals. IEEE member since 1987.

Research Interests

Data Mining and Knowledge Discovery, Inductive logic programming and Multi-relational Data Mining, Symbolic Data Analysis, Spatial Data Mining, Document Image Analysis and Recognition, Web Mining, Bioinformatics, Network Traffic Analysis.

Donato Malerba
Full Professor
Scientific coordinator of the group
Phone: +39 080 5443269
Fax: +39 080 5443269 or 5443196
em@il: donato.malerba @ uniba.it
webpage: http://www.di.uniba.it/~malerba





Publications Legend

Journal Articles
Book
Conference or Workshop
Editorship
Collection
Other

Publications


2024
Giuseppina Andresini, Annalisa Appice, Dino Ienco, Donato Malerba, Vito Recchia:
Potential of Spectral-Spatial Analysis to Map Forest Tree Dieback Due to Bark Beetle Hotspots in Sentinel-2 Images. IGARSS: 5227-5230 (2024)
DOI: https://doi.org/10.1109/IGARSS53475.2024.10641479
Luca De Rose, Giuseppina Andresini, Annalisa Appice, Donato Malerba:
VINCENT: Cyber-threat detection through vision transformers and knowledge distillation. Comput. Secur. 144: 103926 (2024)
DOI: https://doi.org/10.1016/j.cose.2024.103926
Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba:
PANACEA: a neural model ensemble for cyber-threat detection. Mach. Learn. 113(8): 5379-5422 (2024)
DOI: https://doi.org/10.1007/s10994-023-06470-2
Maurizio Atzori, Paolo Ciaccia, Michelangelo Ceci, Federica Mandreoli, Donato Malerba, Manuela Sanguinetti, Antonio Pellicani, Federico Motta:
Proceedings of the 32nd Symposium of Advanced Database Systems, Villasimius, Italy, June 23rd to 26th, 2024. SEBD CEUR Workshop Proceedings 3741, CEUR-WS.org (2024)
DOI: https://ceur-ws.org/Vol-3741
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba:
Enhancing Next Activity Prediction with Adversarial Training of Vision Transformers. SEBD: 349-358 (2024)
DOI: https://ceur-ws.org/Vol-3741/paper17.pdf
Vincenzo Pasquadibisceglie, Annalisa Appice, Giuseppe Ieva, Donato Malerba:
TSUNAMI - an explainable PPM approach for customer churn prediction in evolving retail data environments. J. Intell. Inf. Syst. 62(3): 705-733 (2024)
DOI: https://doi.org/10.1007/s10844-023-00838-5
Vincenzo Pasquadibisceglie, Donato Lucente, Donato Malerba:
A Stream Data Mining Approach to Handle Concept Drifts in Process Discovery. ISMIS: 136-145 (2024)
DOI: https://doi.org/10.1007/978-3-031-62700-2_13
Muhammad Imran, Annalisa Appice, Donato Malerba:
Evaluating Realistic Adversarial Attacks against Machine Learning Models for Windows PE Malware Detection. Future Internet 16(5): 168 (2024)
DOI: https://doi.org/10.3390/fi16050168
Giuseppina Andresini, Annalisa Appice, Donato Malerba:
Leveraging Sentinel-2 time series for bark beetle-induced forest dieback inventory. SAC: 875-882 (2024)
DOI: https://doi.org/10.1145/3605098.3635908


2023
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
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
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
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
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
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
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
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
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


2022
Paolo Mignone, Donato Malerba, Michelangelo Ceci:
Anomaly Detection for Public Transport and Air Pollution Analysis. IEEE Big Data: 2867-2874 (2022)
DOI: https://doi.org/10.1109/BigData55660.2022.10020470
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
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
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
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
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
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
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
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


2021
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
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba:
Leveraging Multi-view Deep Learning for Next Activity Prediction. ITBPM@BPM: 1-6 (2021)
DOI: https://ceur-ws.org/Vol-2952/paper_290a.pdf
Giuseppina Andresini, Annalisa Appice, Donato Malerba:
A Two-Step Network Intrusion Detection System for Multi-Class Classification (Discussion Paper). SEBD: 259-266 (2021)
DOI: https://ceur-ws.org/Vol-2994/paper27.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
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
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
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
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
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
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
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
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


2020
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
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: https://ceur-ws.org/Vol-2646/38-paper.pdf
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, 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
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
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
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
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
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, 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
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
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
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
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
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
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
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


2019
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
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: https://ceur-ws.org/Vol-2466/paper6.pdf
Corrado Loglisci, Angelo Impedovo, Michelangelo Ceci, Donato Malerba:
Mining Microscopic and Macroscopic Changes in Network Data Streams (Discussion Paper). SEBD (2019)
DOI: https://ceur-ws.org/Vol-2400/paper-23.pdf
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
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
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
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
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
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


2018
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, Antonietta Lanza, Donato Malerba:
Wind Speed Forecasting via Structured Output Learning. SEBD (2018)
DOI: https://ceur-ws.org/Vol-2161/paper31.pdf
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
Domenico Redavid, Donato Malerba, Beniamino Di Martino, Antonio Esposito, Claudio A. 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
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
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
Sonja Pravilovic, Annalisa Appice, Donato Malerba:
Leveraging correlation across space and time to interpolate geophysical data via CoKriging. Int. J. Geogr. Inf. Sci. 32(1): 191-212 (2018)
DOI: https://doi.org/10.1080/13658816.2017.1381338
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
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
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
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
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
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. Ind. Informatics 13(3): 956-966 (2017)
DOI: https://doi.org/10.1109/TII.2016.2604758
Annalisa Appice, Pietro Guccione, Donato Malerba:
A novel spectral-spatial co-training algorithm for the transductive classification of hyperspectral imagery data. Pattern Recognit. 63: 229-245 (2017)
DOI: https://doi.org/10.1016/j.patcog.2016.10.010
Roberto Corizzo, Gianvito Pio, Michelangelo Ceci, Donato Malerba:
Forecasting via Distributed Density-Based Clustering. SEBD: 57 (2017)
DOI: https://ceur-ws.org/Vol-2037/paper_10.pdf
Corrado Loglisci, Donato Malerba:
Leveraging temporal autocorrelation of historical data for improving accuracy in network regression. Stat. Anal. Data Min. 10(1): 40-53 (2017)
DOI: https://doi.org/10.1002/sam.11336
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
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
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
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
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
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


2016
Annalisa Appice, Donato Malerba:
A Co-Training Strategy for Multiple View Clustering in Process Mining. IEEE Trans. Serv. Comput. 9(6): 832-845 (2016)
DOI: https://doi.org/10.1109/TSC.2015.2430327
Annalisa Appice, Pietro Guccione, Donato Malerba:
Transductive hyperspectral image classification: toward integrating spectral and relational features via an iterative ensemble system. Mach. Learn. 103(3): 343-375 (2016)
DOI: https://doi.org/10.1007/s10994-016-5559-7
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
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
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
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
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
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)


2015
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: https://ceur-ws.org/Vol-1509/ITALIA2015_paper_3.pdf
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
Gianvito Pio, Michelangelo Ceci, Donato Malerba, Domenica D'Elia:
ComiRNet: a web-based system for the analysis of miRNA-gene regulatory networks. BMC Bioinform. 16: S7 (2015)
DOI: https://doi.org/10.1186/1471-2105-16-S9-S7
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
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
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
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
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)


2014
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
Corrado Loglisci, Donato Malerba, Apostolos N. Papadopoulos:
Mining Trajectory Data for Discovering Communities of Moving Objects. EDBT/ICDT Workshops: 301-308 (2014)
DOI: https://ceur-ws.org/Vol-1133/paper-49.pdf
Annalisa Appice, Michelangelo Ceci, Donato Malerba:
Multi-Relational Model Tree Induction Tightly-Coupled with a Relational Database. Fundam. Informaticae 129(3): 193-224 (2014)
DOI: https://doi.org/10.3233/FI-2014-969
Gianvito Pio, Fabio Fumarola, Antonio E. Felle, Donato Malerba, Michelangelo Ceci:
Discovering Novelty Patterns from the Ancient Christian Inscriptions of Rome. ACM Journal on Computing and Cultural Heritage 7(4): 22:1-22:21 (2014)
DOI: https://doi.org/10.1145/2629513
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
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 Bioinform. 15: S4 (2014)
DOI: https://doi.org/10.1186/1471-2105-15-S1-S4
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
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
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
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
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
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
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
Daniela Stojanova, Michelangelo Ceci, Donato Malerba, Saso Dzeroski:
Using PPI network autocorrelation in hierarchical multi-label classification trees for gene function prediction. BMC Bioinform. 14: 285 (2013)
DOI: https://doi.org/10.1186/1471-2105-14-285
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
Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Donato Malerba, Saso Dzeroski:
Dealing with spatial autocorrelation when learning predictive clustering trees. Ecol. Informatics 13: 22-39 (2013)
DOI: https://doi.org/10.1016/j.ecoinf.2012.10.006
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
Annalisa Appice, Anna Ciampi, Donato Malerba, Pietro Guccione:
Using trend clusters for spatiotemporal interpolation of missing data in a sensor network. J. Spatial Inf. Sci. 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 Bioinform. 14: S8 (2013)
DOI: https://doi.org/10.1186/1471-2105-14-S7-S8
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
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
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)


2012
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
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
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. Mach. Learn. 89(1): 1-3 (2012)
DOI: https://doi.org/10.1007/s10994-012-5317-4
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
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
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
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
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
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 E. 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
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
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
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
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
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
Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Relational Learning of Disjunctive Patterns in Spatial Networks. NyNaK (2010)
DOI: https://ceur-ws.org/Vol-655/dynak2010_paper2.pdf
Tim Weninger, Fabio Fumarola, Rick Barber, Jiawei Han, Donato Malerba:
Unexpected results in automatic list extraction on the web. SIGKDD Explor. 12(2): 26-30 (2010)
DOI: https://doi.org/10.1145/1964897.1964904
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
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)
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 Bioinform. 10 (2009)
DOI: https://doi.org/10.1186/1471-2105-10-S6-S25
Donato Malerba, Michelangelo Ceci, Annalisa Appice:
A relational approach to probabilistic classification in a transductive setting. Eng. Appl. Artif. Intell. 22(1): 109-116 (2009)
DOI: https://doi.org/10.1016/j.engappai.2008.04.005
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
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
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
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
Donato Malerba:
A relational perspective on spatial data mining. Int. J. Data Min. Model. Manag. 1(1): 103-118 (2008)
DOI: https://doi.org/10.1504/IJDMMM.2008.022540
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, 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, 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
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
Michelangelo Ceci, Margherita Berardi, Donato Malerba:
Relational Data Mining and ILP for Document Image Understanding. Appl. Artif. Intell. 21(4): 317-342 (2007)
DOI: https://doi.org/10.1080/08839510701252551
Oronzo Altamura, Margherita Berardi, Michelangelo Ceci, Donato Malerba, Antonio Varlaro:
Using colour information to understand censorship cards of film archives. Int. J. Document Anal. Recognit. 9(2): 281-297 (2007)
DOI: https://doi.org/10.1007/s10032-006-0021-1
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
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
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
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
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


2006
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
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:
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
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
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
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
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
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
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
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. Mach. Learn. 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
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
Donato Malerba:
Learning Recursive Theories in the Normal ILP Setting. Fundam. Informaticae 57(1): 39-77 (2003)
DOI: http://content.iospress.com/articles/fundamenta-informaticae/fi57-1-03
Donato Malerba, Floriana Esposito, Antonietta Lanza, Francesca A. Lisi, Annalisa Appice:
Empowering a GIS with inductive learning capabilities: the case of INGENS. Comput. Environ. Urban Syst. 27(3): 265-281 (2003)
DOI: https://doi.org/10.1016/S0198-9715(02)00024-8
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, 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
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
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, Francesca A. Lisi:
Multiple Predicate Learning for Document Image Understanding. FLAIRS: 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: 557-561 (2001)
DOI: http://www.aaai.org/Library/FLAIRS/2001/flairs01-107.php
Floriana Esposito, Donato Malerba:
Machine Learning in Computer Vision (Editorial). Appl. Artif. Intell. 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++. Int. J. Document Anal. Recognit. 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


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
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, Francesca A. Lisi:
Machine Learning for Intelligent Document Processing: The WISDOM System. ISMIS: 103-113 (1999)
DOI: https://doi.org/10.1007/BFb0095095
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
Maria Francesca Costabile, Donato Malerba, Matthias L. Hemmje, Aldo Paradiso:
Building Metaphors for Supporting User Interaction with Multimedia Databases. VDB: 47-65 (1998)
Maria Francesca Costabile, Donato Malerba, Matthias L. Hemmje, Aldo Paradiso:
Metaphors for Supporting User Interaction with Multimedia Databases - a demonstration. VDB: 154-160 (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. Digit. Libr. 2(1): 3-19 (1998)
DOI: https://doi.org/10.1007/s007990050033
Donato Malerba, Floriana Esposito, Francesca A. Lisi:
Learning Recursive Theories with ATRE. ECAI: 435-439 (1998)


1997
Floriana Esposito, Sergio Caggese, Donato Malerba, Giovanni Semeraro:
Inductive Inference of First-Order Models from Numeric-Symbolic Data. AISTATS: 173-182 (1997)
DOI: https://proceedings.mlr.press/r1/esposito97a.html
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
Floriana Esposito, Antonietta Lanza, Donato Malerba, Giovanni Semeraro:
Machine Learning for Map Interpretation: An Intelligent Tool for Environmental Planning. Appl. Artif. Intell. 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. Appl. Artif. Intell. 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
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, 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
Donato Malerba:
Page Blocks Classification., UCI Machine Learning Repository (1995)
DOI: https://doi.org/10.24432/C5J590
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
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
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., UCI Machine Learning Repository (1994)
DOI: https://doi.org/10.24432/C5260K
Floriana Esposito, Donato Malerba, Giovanni Semeraro:
multistrategy learning for document recognition. Appl. Artif. Intell. 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:
A Distance Measure for Decision Making in Uncertain Domains. IPMU: 538-547 (1990)
DOI: https://doi.org/10.1007/BFb0028141
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