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 Beerliová, O Billet, A Biryukov, ...
Lecture Notes in Computer Science (including subseries Lecture Notes in …, 2006
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
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
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
Machine learning methods for automatically processing historical documents: From paper acquisition to XML transformation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
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
Bounded nondeterminism and alternation in parameterized complexity theory
Y Chen, J Flum, M Grohe
18th IEEE Annual Conference on Computational Complexity, 2003. Proceedings …, 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
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
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
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
Hierarchical classification of html documents with webclassii
M Ceci, D Malerba
European Conference on Information Retrieval, 57-72, 2003
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
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
Network regression with predictive clustering trees
D Stojanova, M Ceci, A Appice, S Džeroski
Data Mining and Knowledge Discovery 25 (2), 378-413, 2012
Spatial associative classification: propositional vs structural approach
M Ceci, A Appice
Journal of Intelligent Information Systems 27 (3), 191-213, 2006
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
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
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
Mining and filtering multi-level spatial association rules with ARES
A Appice, M Berardi, M Ceci, D Malerba
International Symposium on Methodologies for Intelligent Systems, 342-353, 2005
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