Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics): Preface D Ünay, Z Çataltepe, S Aksoy Lecture Notes in Computer Science (including subseries Lecture Notes in …, 2010 | 774* | 2010 |
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 Beerliová, O Billet, A Biryukov, ... Lecture Notes in Computer Science (including subseries Lecture Notes in …, 2006 | 230* | 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 | 157 | 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 | 136 | 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 | 125 | 2004 |
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 | 110 | 2016 |
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 | 108 | 2016 |
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 Beerliová, O Billet, A Biryukov, ... Lecture Notes in Computer Science (including subseries Lecture Notes in …, 2006 | 108 | 2006 |
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 | 95 | 2014 |
Machine learning methods for automatically processing historical documents: From paper acquisition to XML transformation F Esposito, D Malerba, G Semeraro, S Ferilli, O Altamura, TMA Basile, ...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 | 89 | 2004 |
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 | 75 | 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 | 65 | 2019 |
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 | 64 | 2004 |
Multi-aspect renewable energy forecasting R Corizzo, M Ceci, H Fanaee-T, J Gama Information Sciences 546, 701-722, 2021 | 63 | 2021 |
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, 1-25, 2013 | 62 | 2013 |
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 | 61 | 2015 |
Document-centered collaboration for scholars in the humanities–the COLLATE system I Frommholz, H Brocks, U Thiel, E Neuhold, L Iannone, G Semeraro, ... International conference on theory and practice of digital libraries, 434-445, 2003 | 61 | 2003 |
Exploiting transfer learning for the reconstruction of the human gene regulatory network P Mignone, G Pio, D D’Elia, M Ceci Bioinformatics 36 (5), 1553-1561, 2020 | 60 | 2020 |
Self-training for multi-target regression with tree ensembles J Levatić, M Ceci, D Kocev, S Džeroski Knowledge-based systems 123, 41-60, 2017 | 60 | 2017 |
Network regression with predictive clustering trees D Stojanova, M Ceci, A Appice, S Džeroski Data Mining and Knowledge Discovery 25, 378-413, 2012 | 60 | 2012 |