| 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 | 836* | 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 | 241* | 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 | 160 | 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 | 137 | 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 | 130 | 2004 |
| 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 | 113 | 2006 |
| 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 | 112 | 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 | 109 | 2016 |
| 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 | 101 | 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| Machine learning methods for automatically processing historical documents: From paper acquisition to XML transformation F Esposito, D Malerba, G Semeraro, S Ferilli, O Altamura, TMA Basile, ...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 | 68 | 2019 |
| Multi-aspect renewable energy forecasting R Corizzo, M Ceci, H Fanaee-T, J Gama Information Sciences 546, 701-722, 2021 | 67 | 2021 |
| 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 | 65 | 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 | 63 | 2015 |
| 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 | 62 | 2020 |
| 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 |
| Scalable auto-encoders for gravitational waves detection from time series data R Corizzo, M Ceci, E Zdravevski, N Japkowicz Expert Systems with Applications 151, 113378, 2020 | 61 | 2020 |
| Spatial autocorrelation and entropy for renewable energy forecasting M Ceci, R Corizzo, D Malerba, A Rashkovska Data Mining and Knowledge Discovery 33 (3), 698-729, 2019 | 61 | 2019 |
| Self-training for multi-target regression with tree ensembles J Levatić, M Ceci, D Kocev, S Džeroski Knowledge-based systems 123, 41-60, 2017 | 61 | 2017 |
Donato MalerbaProfessor of Computer Science, Dept. of Computer Science, University of Bari "Aldo Moro", ItalyVerified email at uniba.it
