Sledovat
Michelangelo Ceci
Název
Citace
Citace
Rok
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
1141*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
226*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
1612007
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
1352003
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
1322004
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
1212016
CloFAST: closed sequential pattern mining using sparse and vertical id-lists
F Fumarola, PF Lanotte, M Ceci, D Malerba
Knowledge and Information Systems 48 (2), 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Machine learning methods for automatically processing historical documents: From paper acquisition to XML transformation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
902004
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
772003
Multi-aspect renewable energy forecasting
R Corizzo, M Ceci, H Fanaee-T, J Gama
Information Sciences 546, 701-722, 2021
762021
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
712019
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
662019
Self-training for multi-target regression with tree ensembles
J Levatić, M Ceci, D Kocev, S Džeroski
Knowledge-based systems 123, 41-60, 2017
642017
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
642004
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
632015
Network regression with predictive clustering trees
D Stojanova, M Ceci, A Appice, S Džeroski
Data Mining and Knowledge Discovery 25, 378-413, 2012
632012
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
612020
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
612014
Dealing with spatial autocorrelation when learning predictive clustering trees
D Stojanova, M Ceci, A Appice, D Malerba, S Džeroski
Ecological Informatics 13, 22-39, 2013
612013
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Články 1–20