Michelangelo Ceci
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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
173*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
173*2006
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
1272003
Classifying web documents in a hierarchy of categories: a comprehensive study
M Ceci, D Malerba
Journal of Intelligent Information Systems 28 (1), 37-78, 2007
1262007
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
982004
Machine learning methods for automatically processing historical documents: From paper acquisition to XML transformation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
872004
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
792010
Bounded nondeterminism and alternation in parameterized complexity theory
Y Chen, J Flum, M Grohe
18th IEEE Annual Conference on Computational Complexity, 2003. Proceedings …, 2003
68*2003
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
672016
Mr-SBC: a multi-relational naive bayes classifier
M Ceci, A Appice, D Malerba
European conference on principles of data mining and knowledge discovery, 95-106, 2003
672003
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
582003
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
562004
Completion time and next activity prediction of processes using sequential pattern mining
M Ceci, PF Lanotte, F Fumarola, DP Cavallo, D Malerba
International Conference on Discovery Science, 49-61, 2014
542014
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), 1-17, 2014
532014
Hierarchical classification of html documents with webclassii
M Ceci, D Malerba
European Conference on Information Retrieval, 57-72, 2003
532003
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
502013
Network regression with predictive clustering trees
D Stojanova, M Ceci, A Appice, S Džeroski
Data Mining and Knowledge Discovery 25 (2), 378-413, 2012
492012
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
472016
Spatial associative classification: propositional vs structural approach
M Ceci, A Appice
Journal of Intelligent Information Systems 27 (3), 191-213, 2006
472006
Using PPI network autocorrelation in hierarchical multi-label classification trees for gene function prediction
D Stojanova, M Ceci, D Malerba, S Dzeroski
BMC bioinformatics 14 (1), 285, 2013
462013
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