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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
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
397*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
305*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
1402007
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
1322003
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
1162004
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
912016
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
882016
Machine learning methods for automatically processing historical documents: From paper acquisition to XML transformation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
882004
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
83*2010
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
742014
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
742003
Network regression with predictive clustering trees
D Stojanova, M Ceci, A Appice, S Džeroski
Data Mining and Knowledge Discovery 25, 378-413, 2012
682012
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
612004
Document-centered collaboration for scholars in the humanities–the COLLATE system
I Frommholz, H Brocks, U Thiel, E Neuhold, L Iannone, G Semeraro, ...
Research and Advanced Technology for Digital Libraries: 7th European …, 2003
612003
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
572015
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
572013
Hierarchical classification of HTML documents with WebClassII
M Ceci, D Malerba
Advances in Information Retrieval: 25th European Conference on IR Research …, 2003
562003
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
542014
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
532019
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
532013
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