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Michelangelo Ceci
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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
871*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
250*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
1622007
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
1372003
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
1312004
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
1182006
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
1172016
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
1112016
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
1022014
Machine learning methods for automatically processing historical documents: From paper acquisition to XML transformation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
892004
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
762003
Multi-aspect renewable energy forecasting
R Corizzo, M Ceci, H Fanaee-T, J Gama
Information Sciences 546, 701-722, 2021
722021
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
702019
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
692019
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
652015
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
652004
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
642020
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
632020
Network regression with predictive clustering trees
D Stojanova, M Ceci, A Appice, S Džeroski
Data Mining and Knowledge Discovery 25, 378-413, 2012
632012
Self-training for multi-target regression with tree ensembles
J Levatić, M Ceci, D Kocev, S Džeroski
Knowledge-based systems 123, 41-60, 2017
622017
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