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 | 127 | 2012 |
: A Deep Learning Architecture for Multiscale Multimodal Multitemporal Satellite Data Fusion P Benedetti, D Ienco, R Gaetano, K Ose, RG Pensa, S Dupuy IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 116 | 2018 |
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, 3813-3842, 2016 | 86 | 2016 |
Pattern-preserving k-anonymization of sequences and its application to mobility data mining RG Pensa, A Monreale, F Pinelli, D Pedreschi CEUR Workshop Proceedings 397, 44-60, 2008 | 82 | 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 | 78 | 2004 |
Context-based distance learning for categorical data clustering D Ienco, RG Pensa, R Meo Advances in Intelligent Data Analysis VIII: 8th International Symposium on …, 2009 | 76 | 2009 |
Constrained co-clustering of gene expression data RG Pensa, JF Boulicaut Proceedings of the 2008 SIAM International Conference on Data Mining, 25-36, 2008 | 76 | 2008 |
Parameter-less co-clustering for star-structured heterogeneous data D Ienco, C Robardet, RG Pensa, R Meo Data Mining and Knowledge Discovery 26, 217-254, 2013 | 58 | 2013 |
A bi-clustering framework for categorical data RG Pensa, C Robardet, JF Boulicaut European Conference on Principles of Data Mining and Knowledge Discovery …, 2005 | 58 | 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 | 56 | 2007 |
A privacy self-assessment framework for online social networks RG Pensa, G Di Blasi Expert Systems with Applications 86, 18-31, 2017 | 54 | 2017 |
A social network simulation game to raise awareness of privacy among school children L Bioglio, S Capecchi, F Peiretti, D Sayed, A Torasso, RG Pensa IEEE Transactions on Learning Technologies 12 (4), 456-469, 2018 | 53 | 2018 |
Stool microRNA profiles reflect different dietary and gut microbiome patterns in healthy individuals S Tarallo, G Ferrero, F De Filippis, A Francavilla, E Pasolli, V Panero, ... Gut 71 (7), 1302-1314, 2022 | 51 | 2022 |
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 | 51 | 2016 |
Towards fault-tolerant formal concept analysis RG Pensa, JF Boulicaut Congress of the Italian Association for Artificial Intelligence, 212-223, 2005 | 46 | 2005 |
Network-aware privacy risk estimation in online social networks RG Pensa, G Di Blasi, L Bioglio Social Network Analysis and Mining 9 (1), 15, 2019 | 44 | 2019 |
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 | 42 | 2005 |
Positive and unlabeled learning in categorical data D Ienco, RG Pensa Neurocomputing 196, 113-124, 2016 | 38 | 2016 |
Parameter-Free Hierarchical Co-clustering by n-Ary Splits D Ienco, RG Pensa, R Meo Machine Learning and Knowledge Discovery in Databases: European Conference …, 2009 | 30 | 2009 |
Anonymity preserving sequential pattern mining A Monreale, D Pedreschi, RG Pensa, F Pinelli Artificial intelligence and law 22, 141-173, 2014 | 26 | 2014 |