| Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics): Preface M Abe, K Aoki, G Ateniese, R Avanzi, Z Beerliovį, O Billet, A Biryukov, ... Lecture Notes in Computer Science (including subseries Lecture Notes in …, 2006 | 401* | 2006 |
| Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics): Preface M Abe, K Aoki, G Ateniese, R Avanzi, Z Beerliovį, O Billet, A Biryukov, ... Lecture Notes in Computer Science (including subseries Lecture Notes in …, 2006 | 308* | 2006 |
| Classifying web documents in a hierarchy of categories: a comprehensive study M Ceci, D Malerba Journal of Intelligent Information Systems 28, 37-78, 2007 | 143 | 2007 |
| Discovery of spatial association rules in geo-referenced census data: A relational mining approach A Appice, M Ceci, A Lanza, FA Lisi, D Malerba Intelligent Data Analysis 7 (6), 541-566, 2003 | 132 | 2003 |
| Top-down induction of model trees with regression and splitting nodes D Malerba, F Esposito, M Ceci, A Appice IEEE Transactions on Pattern Analysis and Machine Intelligence 26 (5), 612-625, 2004 | 117 | 2004 |
| CloFAST: closed sequential pattern mining using sparse and vertical id-lists F Fumarola, PF Lanotte, M Ceci, D Malerba Knowledge and Information Systems 48, 429-463, 2016 | 93 | 2016 |
| Predictive modeling of PV energy production: How to set up the learning task for a better prediction? M Ceci, R Corizzo, F Fumarola, D Malerba, A Rashkovska IEEE Transactions on Industrial Informatics 13 (3), 956-966, 2016 | 91 | 2016 |
| Machine learning methods for automatically processing historical documents: From paper acquisition to XML transformation F Esposito, D Malerba, G Semeraro, S Ferilli, O Altamura, TMA Basile, ... Document Image Analysis for Libraries, 2004. Proceedings. First …, 2004 | 88 | 2004 |
| Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics): Preface D Ünay, Z Ēataltepe, S Aksoy Lecture Notes in Computer Science (including subseries Lecture Notes in …, 2010 | 87* | 2010 |
| Completion time and next activity prediction of processes using sequential pattern mining M Ceci, PF Lanotte, F Fumarola, DP Cavallo, D Malerba Discovery Science: 17th International Conference, DS 2014, Bled, Slovenia …, 2014 | 77 | 2014 |
| Mr-SBC: a multi-relational naive bayes classifier M Ceci, A Appice, D Malerba Knowledge Discovery in Databases: PKDD 2003: 7th European Conference on …, 2003 | 74 | 2003 |
| Network regression with predictive clustering trees D Stojanova, M Ceci, A Appice, S Džeroski Data Mining and Knowledge Discovery 25, 378-413, 2012 | 68 | 2012 |
| Document-centered collaboration for scholars in the humanities–the COLLATE system I Frommholz, H Brocks, U Thiel, E Neuhold, L Iannone, G Semeraro, ... Research and Advanced Technology for Digital Libraries: 7th European …, 2003 | 62 | 2003 |
| Redundant feature elimination for multi-class problems A Appice, M Ceci, S Rawles, P Flach Proceedings of the twenty-first international conference on Machine learning, 5, 2004 | 61 | 2004 |
| Effectively and efficiently supporting roll-up and drill-down OLAP operations over continuous dimensions via hierarchical clustering M Ceci, A Cuzzocrea, D Malerba Journal of Intelligent Information Systems 44, 309-333, 2015 | 58 | 2015 |
| A novel biclustering algorithm for the discovery of meaningful biological correlations between microRNAs and their target genes G Pio, M Ceci, D D'Elia, C Loglisci, D Malerba BMC bioinformatics 14 (7), 1-25, 2013 | 58 | 2013 |
| Hierarchical classification of HTML documents with WebClassII M Ceci, D Malerba Advances in Information Retrieval: 25th European Conference on IR Research …, 2003 | 56 | 2003 |
| Anomaly detection and repair for accurate predictions in geo-distributed big data R Corizzo, M Ceci, N Japkowicz Big Data Research 16, 18-35, 2019 | 55 | 2019 |
| Integrating microRNA target predictions for the discovery of gene regulatory networks: a semi-supervised ensemble learning approach G Pio, D Malerba, D D'Elia, M Ceci BMC bioinformatics 15, 1-17, 2014 | 55 | 2014 |
| Self-training for multi-target regression with tree ensembles J Levatić, M Ceci, D Kocev, S Džeroski Knowledge-based systems 123, 41-60, 2017 | 54 | 2017 |
Donato MalerbaProfessor of Computer Science, Dept. of Computer Science, University of Bari "Aldo Moro", ItalyVerified email at uniba.it
