Publications
2024
| Massimiliano Altieri, Roberto Corizzo, Michelangelo Ceci:
GAP-LSTM: Graph-Based Autocorrelation Preserving Networks for Geo-Distributed Forecasting. IEEE Trans. Neural Networks Learn. Syst. 35(9): 11773-1178 (2024)
DOI: https://doi.org/10.1109/TNNLS.2024.3398441 | | Michelangelo Ceci, Sergio Flesca, Giuseppe Manco, Elio Masciari:
Special issue on intelligent systems. J. Intell. Inf. Syst. 62(4): 883-886 (2024)
DOI: https://doi.org/10.1007/s10844-024-00868-7 | | 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 | | Paolo Mignone, Gianvito Pio, Michelangelo Ceci:
Distributed Heterogeneous Transfer Learning. Big Data Res. 37: 100456 (2024)
DOI: https://doi.org/10.1016/j.bdr.2024.100456 | | Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski:
Semi-Supervised Predictive Clustering Trees for (Hierarchical) Multi-Label Classification. Int. J. Intell. Syst. 2024: 1-21 (2024)
DOI: https://doi.org/10.1155/2024/5610291 | | Daniele Rosa, Antonio Pellicani, Gianvito Pio, Domenica D'Elia, Michelangelo Ceci:
Exploiting microRNA Expression Data for the Diagnosis of Disease Conditions and the Discovery of Novel Biomarkers. ISMIS: 77-86 (2024)
DOI: https://doi.org/10.1007/978-3-031-62700-2_8 | | Stefano Polimena, Gianvito Pio, Giovanni Attolico, Michelangelo Ceci:
Improving the Robustness to Color Perturbations of Classification and Regression Models in the Visual Evaluation of Fruits and Vegetables. ISMIS: 3-13 (2024)
DOI: https://doi.org/10.1007/978-3-031-62700-2_1 | | Paolo Mignone, Roberto Corizzo, Michelangelo Ceci:
Distributed and explainable GHSOM for anomaly detection in sensor networks. Mach. Learn. 113(7): 4445-4486 (2024)
DOI: https://doi.org/10.1007/s10994-023-06501-y | | Andrea Simeon, Milos Radovanovic, Tatjana Loncar-Turukalo, Michelangelo Ceci, Sanja Brdar, Gianvito Pio:
Multi-class boosting for the analysis of multiple incomplete views on microbiome data. BMC Bioinform. 25(1): 188 (2024)
DOI: https://doi.org/10.1186/s12859-024-05767-w |
2023
| 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 | | 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 | | 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 | | 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 | | 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 |
2022
| 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 | | Massimiliano Altieri, Roberto Corizzo, Michelangelo Ceci:
Scalable Forecasting in Sensor Networks with Graph Convolutional LSTM Models. IEEE Big Data: 4595-4600 (2022)
DOI: https://doi.org/10.1109/BigData55660.2022.10020456 | | 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 | | Paolo Mignone, Gianvito Pio, Michelangelo Ceci:
Distributed Heterogeneous Transfer Learning for Link Prediction in the Positive Unlabeled Setting. IEEE Big Data: 5536-5541 (2022)
DOI: https://doi.org/10.1109/BigData55660.2022.10020270 | | 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 | | 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 | | Paolo Mignone, Gianvito Pio, Michelangelo Ceci:
Distributed Heterogeneous Transfer Learning. SEBD: 351-358 (2022)
DOI: https://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 | | 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 | | 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 | | 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 | | 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 | | 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 |
2021
| 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 | | 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: https://ceur-ws.org/Vol-2994/paper42.pdf | | 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 | | 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
| 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, 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 | | 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 | | 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 | | 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: https://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: https://ceur-ws.org/Vol-2646/38-paper.pdf | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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
| Roberto Corizzo, Michelangelo Ceci, Nathalie Japkowicz:
Anomaly Detection and Repair for Accurate Predictions in Geo-distributed Big Data. Big Data Res. 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: https://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: https://ceur-ws.org/Vol-2400/paper-06.pdf | | 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 | | 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 | | 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
| 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 | | 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 | | 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 | | Francesco Serafino, Gianvito Pio, Michelangelo Ceci:
Ensemble Learning for Multi-type Classification in Heterogeneous Networks. SEBD (2018)
DOI: https://ceur-ws.org/Vol-2161/paper32.pdf | | 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 | | 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 | | Michelangelo Ceci, Toon Calders:
Introduction to the special issue on discovery science. Mach. Learn. 107(11): 1647-1649 (2018)
DOI: https://doi.org/10.1007/s10994-018-5749-6 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci:
Temporal Pattern Mining from Evolving Networks. CoRR (2017)
DOI: http://arxiv.org/abs/1709.06772 |
2016
| 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 | | 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 | | 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 | | 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 | | 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
| 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 | | 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 | | 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 | | 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 | | 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) | | Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski:
Semi-supervised learning for multi-target regression (Discussion paper). SEBD: 240-247 (2015) |
2014
| 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 | | 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, 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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) | | 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) |
2013
| 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 | | 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, 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 | | 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
| 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 | | 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 Rec. 2(2): 16-21 (2012)
DOI: https://doi.org/10.1145/2384556.2384558 | | 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 | | 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 | | 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 | | 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 | | 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
| 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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
| 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 | | 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 | | 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:
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 | | 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) | | Michelangelo Ceci, Pasqua Fabiana Lanotte:
Hierarchical Transductive Classification from Textual Data with Relevant Example Selection. SEBD: 158-169 (2010) | | Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Discovering Temporal Patterns of Complex Events in Biosignal Data. SEBD: 306-317 (2010) |
2009
| 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 | | 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 | | 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 | | 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) |
2008
| 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, 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 | | 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) | | 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 | | 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 | | 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
| 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 | | Annalisa Appice, Michelangelo Ceci:
Mining Tolerance Regions with Model Trees. ISMIS: 560-569 (2006)
DOI: https://doi.org/10.1007/11875604_63 | | Michelangelo Ceci, Donato Malerba:
Relational Data Mining Techniques for Historical Document Processing. SEBD: 309-320 (2006) |
2005
| Michelangelo Ceci:
Naive bayesian learning from structural data. (2005)
DOI: https://opac.bncf.firenze.sbn.it/bncf-prod/resource?uri=BNI0013516 | | 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 | | 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) |
2004
| 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 | | 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 | | 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 | | 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 | | 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
| 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 | | 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, 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 | | 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 | | 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 | | 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) |
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, 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) | | Donato Malerba, Annalisa Appice, Michelangelo Ceci, Nicola Vacca:
Mining Classification and Association Rules in Geographical Data with SDMOQL. SEBD: 251-264 (2002) |
2001
| 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 |
|
