From context to distance: Learning dissimilarity for categorical data clustering D Ienco, RG Pensa, R Meo
ACM Transactions on Knowledge Discovery from Data (TKDD) 6 (1), 1-25, 2012
89 2012 Pattern-preserving k-anonymization of sequences and its application to mobility data mining RG Pensa, A Monreale, F Pinelli, D Pedreschi
International Workshop on Privacy in Location-Based Applications PiLBA'08 …, 2008
69 2008 Assessment of discretization techniques for relevant pattern discovery from gene expression data RG Pensa, C Leschi, J Besson, JF Boulicaut
Proceedings of the 4th International Conference on Data Mining in …, 2004
69 2004 Constrained co-clustering of gene expression data RG Pensa, JF Boulicaut
Proceedings of the 2008 SIAM International Conference on Data Mining, 25-36, 2008
68 2008 Recommending multimedia visiting paths in cultural heritage applications I Bartolini, V Moscato, RG Pensa, A Penta, A Picariello, C Sansone, ...
Multimedia Tools and Applications 75 (7), 3813-3842, 2016
63 2016 Context-based distance learning for categorical data clustering D Ienco, RG Pensa, R Meo
International Symposium on Intelligent Data Analysis, 83-94, 2009
62 2009 A bi-clustering framework for categorical data RG Pensa, C Robardet, JF Boulicaut
European Conference on Principles of Data Mining and Knowledge Discovery …, 2005
52 2005 Clustering formal concepts to discover biologically relevant knowledge from gene expression data S Blachon, RG Pensa, J Besson, C Robardet, JF Boulicaut, O Gandrillon
In silico biology 7 (4, 5), 467-483, 2007
51 2007 Towards fault-tolerant formal concept analysis RG Pensa, JF Boulicaut
Congress of the Italian Association for Artificial Intelligence, 212-223, 2005
45 2005 Parameter-less co-clustering for star-structured heterogeneous data D Ienco, C Robardet, RG Pensa, R Meo
Data Mining and Knowledge Discovery 26 (2), 217-254, 2013
42 2013 P Benedetti, D Ienco, R Gaetano, K Ose, RG Pensa, S Dupuy
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018
40 2018 Constraint-based mining of fault-tolerant patterns from boolean data J Besson, RG Pensa, C Robardet, JF Boulicaut
International Workshop on Knowledge Discovery in Inductive Databases, 55-71, 2005
38 2005 Parameter-Free Hierarchical Co-clustering by n -Ary Splits D Ienco, RG Pensa, R Meo
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2009
29 2009 A privacy self-assessment framework for online social networks RG Pensa, G Di Blasi
Expert Systems with Applications 86, 18-31, 2017
27 2017 A semisupervised approach to the detection and characterization of outliers in categorical data D Ienco, RG Pensa, R Meo
IEEE transactions on neural networks and learning systems 28 (5), 1017-1029, 2016
27 2016 A methodology for biologically relevant pattern discovery from gene expression data RG Pensa, J Besson, JF Boulicaut
International Conference on Discovery Science, 230-241, 2004
23 2004 Positive and unlabeled learning in categorical data D Ienco, RG Pensa
Neurocomputing 196, 113-124, 2016
22 2016 Anonymity preserving sequential pattern mining A Monreale, D Pedreschi, RG Pensa, F Pinelli
Artificial intelligence and law 22 (2), 141-173, 2014
21 2014 Recommending multimedia objects in cultural heritage applications I Bartolini, V Moscato, RG Pensa, A Penta, A Picariello, C Sansone, ...
International Conference on Image Analysis and Processing, 257-267, 2013
21 2013 Hierarchical co-clustering: off-line and incremental approaches RG Pensa, D Ienco, R Meo
Data mining and knowledge discovery 28 (1), 31-64, 2014
20 2014 
Jean-Francois BoulicautINSA Lyon, LIRIS CNRS UMR 5205Email verificata su insa-lyon.fr
