Ruggero G. Pensa
Ruggero G. Pensa
Associate Professor, University of Torino, Italy
Vahvistettu sähköpostiosoite verkkotunnuksessa - Kotisivu
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
Constrained co-clustering of gene expression data
RG Pensa, JF Boulicaut
Proceedings of the 2008 SIAM International Conference on Data Mining, 25-36, 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
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
Context-based distance learning for categorical data clustering
D Ienco, RG Pensa, R Meo
International Symposium on Intelligent Data Analysis, 83-94, 2009
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
A bi-clustering framework for categorical data
RG Pensa, C Robardet, JF Boulicaut
European Conference on Principles of Data Mining and Knowledge Discovery …, 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
Towards fault-tolerant formal concept analysis
RG Pensa, JF Boulicaut
Congress of the Italian Association for Artificial Intelligence, 212-223, 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
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
: 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
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
A privacy self-assessment framework for online social networks
RG Pensa, G Di Blasi
Expert Systems with Applications 86, 18-31, 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
Positive and unlabeled learning in categorical data
D Ienco, RG Pensa
Neurocomputing 196, 113-124, 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
Anonymity preserving sequential pattern mining
A Monreale, D Pedreschi, RG Pensa, F Pinelli
Artificial intelligence and law 22 (2), 141-173, 2014
Social network analysis as knowledge discovery process: A case study on digital bibliography
M Coscia, F Giannotti, R Pensa
2009 International Conference on Advances in Social Network Analysis and …, 2009
SQUAT: A web tool to mine human, murine and avian SAGE data
J Leyritz, S Schicklin, S Blachon, C Keime, C Robardet, JF Boulicaut, ...
BMC bioinformatics 9 (1), 378, 2008
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Artikkelit 1–20