| 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 | 117 | 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 | 94 | 2018 |
| 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 | 81 | 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, 3813-3842, 2016 | 78 | 2016 |
| 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 | 76 | 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 | 75 | 2008 |
| 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 | 69 | 2009 |
| 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 bi-clustering framework for categorical data RG Pensa, C Robardet, JF Boulicaut Knowledge Discovery in Databases: PKDD 2005: 9th European Conference on …, 2005 | 55 | 2005 |
| 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 | 53 | 2013 |
| A privacy self-assessment framework for online social networks RG Pensa, G Di Blasi Expert Systems with Applications 86, 18-31, 2017 | 48 | 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 | 46 | 2016 |
| Towards fault-tolerant formal concept analysis RG Pensa, JF Boulicaut AI* IA 2005: Advances in Artificial Intelligence: 9th Congress of the …, 2005 | 46 | 2005 |
| Constraint-based mining of fault-tolerant patterns from boolean data J Besson, RG Pensa, C Robardet, JF Boulicaut Knowledge Discovery in Inductive Databases: 4th International Workshop, KDID …, 2006 | 41 | 2006 |
| 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 | 37 | 2019 |
| 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 | 37 | 2018 |
| Positive and unlabeled learning in categorical data D Ienco, RG Pensa Neurocomputing 196, 113-124, 2016 | 36 | 2016 |
| 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 | 33 | 2022 |
| 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 | 31 | 2009 |
| Anonymity preserving sequential pattern mining A Monreale, D Pedreschi, RG Pensa, F Pinelli Artificial intelligence and law 22, 141-173, 2014 | 25 | 2014 |
Dino IencoINRAEVerified email at inrae.fr
