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Ruggero G. Pensa
2010 – today
- 2013
[j6]Dino Ienco, Céline Robardet, Ruggero G. Pensa, Rosa Meo: Parameter-less co-clustering for star-structured heterogeneous data. Data Min. Knowl. Discov. 26(2): 217-254 (2013)- [j5]Ruggero G. Pensa, Francesca Cordero, Céline Rouveirol, Rushed Kanawati: Guest Editorial. Intell. Data Anal. 17(1): 1-3 (2013)
- [c22]Alessio Antonini, Ruggero G. Pensa, Maria Luisa Sapino, Claudio Schifanella, Raffaele Teraoni Prioletti, Luca Vignaroli: Tracking and analyzing TV content on the web through social and ontological knowledge. EuroITV 2013: 13-22
- [c21]Alessio Antonini, Luca Vignaroli, Claudio Schifanella, Ruggero G. Pensa, Maria Luisa Sapino: MeSoOnTV: a media and social-driven ontology-based TV knowledge management system. HT 2013: 208-213
- [c20]Ilaria Bartolini, Vincenzo Moscato, Ruggero G. Pensa, Antonio Penta, Antonio Picariello, Carlo Sansone, Maria Luisa Sapino: Recommending Multimedia Objects in Cultural Heritage Applications. ICIAP Workshops 2013: 257-267
- 2012
- [j4]Dino Ienco, Ruggero G. Pensa, Rosa Meo: From Context to Distance: Learning Dissimilarity for Categorical Data Clustering. TKDD 6(1): 1 (2012)
- 2010
- [j3]Ruggero G. Pensa, Jean-François Boulicaut, Francesca Cordero, Maurizio Atzori: Co-clustering numerical data under user-defined constraints. Statistical Analysis and Data Mining 3(1): 38-55 (2010)
- [e1]Ruggero G. Pensa, Francesca Cordero, Céline Rouveirol, Rushed Kanawati, José A. Troyano, Paolo Rosso (Eds.): Proceedings of the 1st Workshop on Dynamic Networks and Knowledge Discovery, Barcelona, Spain, September 24, 2010. CEUR Workshop Proceedings 655, CEUR-WS.org 2010
2000 – 2009
- 2009
- [c19]Francesca Cordero, Ruggero G. Pensa, Alessia Visconti, Dino Ienco, Marco Botta: Ontology-Driven Co-clustering of Gene Expression Data. AI*IA 2009: 426-435
- [c18]Michele Coscia, Fosca Giannotti, Ruggero G. Pensa: Social Network Analysis as Knowledge Discovery Process: A Case Study on Digital Bibliography. ASONAM 2009: 279-283
- [c17]Dino Ienco, Ruggero G. Pensa, Rosa Meo: Context-Based Distance Learning for Categorical Data Clustering. IDA 2009: 83-94
- [c16]Dino Ienco, Ruggero G. Pensa, Rosa Meo: Parameter-Free Hierarchical Co-clustering by n-Ary Splits. ECML/PKDD (1) 2009: 580-595
- [c15]Ruggero G. Pensa, Anna Monreale, Fabio Pinelli, Dino Pedreschi: Anonymous Sequences from Trajectory Data. SEBD 2009: 361-372
- 2008
- [j2]Johan Leyritz, Stéphane Schicklin, Sylvain Blachon, Céline Keime, Céline Robardet, Jean-François Boulicaut, Jérémy Besson, Ruggero G. Pensa, Olivier Gandrillon: SQUAT: A web tool to mine human, murine and avian SAGE data. BMC Bioinformatics 9 (2008)
- [c14]Ruggero G. Pensa, Anna Monreale, Fabio Pinelli, Dino Pedreschi: Pattern-Preserving k-Anonymization of Sequences and its Application to Mobil- ity Data Mining. PiLBA 2008
- [c13]Ruggero G. Pensa, Jean-François Boulicaut: Co-classification sous contraintes par la somme des résidus quadratiques. EGC 2008: 655-666
- [c12]Ruggero G. Pensa, Jean-François Boulicaut: Constrained Co-clustering of Gene Expression Data. SDM 2008: 25-36
- [c11]Ruggero G. Pensa, Jean-François Boulicaut: Numerical Data Co-clustering via Sum-Squared Residue Minimization and User-defined Constraint Satisfaction. SEBD 2008: 279-286
- 2006
- [j1]Ruggero G. Pensa, Céline Robardet, Jean-François Boulicaut: Supporting bi-cluster interpretation in 0/1 data by means of local patterns. Intell. Data Anal. 10(5): 457-472 (2006)
- [c10]Ruggero G. Pensa, Céline Robardet, Jean-François Boulicaut: Towards Constrained Co-clustering in Ordered 0/1 Data Sets. ISMIS 2006: 425-434
- 2005
- [c9]Ruggero G. Pensa, Jean-François Boulicaut: Towards Fault-Tolerant Formal Concept Analysis. AI*IA 2005: 212-223
- [c8]Ruggero G. Pensa, Jean-François Boulicaut: From Local Pattern Mining to Relevant Bi-cluster Characterization. IDA 2005: 293-304
- [c7]Jérémy Besson, Ruggero G. Pensa, Céline Robardet, Jean-François Boulicaut: Constraint-Based Mining of Fault-Tolerant Patterns from Boolean Data. KDID 2005: 55-71
- [c6]Ruggero G. Pensa, Céline Robardet, Jean-François Boulicaut: A Bi-clustering Framework for Categorical Data. PKDD 2005: 643-650
- 2004
- [c5]Ruggero G. Pensa, Jérémy Besson, Céline Robardet, Jean-François Boulicaut: Contribution to Gene Expression Data Analysis by Means of Set Pattern Mining. Constraint-Based Mining and Inductive Databases 2004: 328-347
- [c4]Ruggero G. Pensa, Jean-François Boulicaut: Boolean Property Encoding for Local Set Pattern Discovery: An Application to Gene Expression Data Analysis. Local Pattern Detection 2004: 115-134
- [c3]Ruggero G. Pensa, Jérémy Besson, Jean-François Boulicaut: A Methodology for Biologically Relevant Pattern Discovery from Gene Expression Data. Discovery Science 2004: 230-241
- [c2]Ruggero G. Pensa, Claire Leschi, Jérémy Besson, Jean-François Boulicaut: Assessment of discretization techniques for relevant pattern discovery from gene expression data. BIOKDD 2004: 24-30
- [c1]Céline Robardet, Ruggero G. Pensa, Jérémy Besson, Jean-François Boulicaut: Using Classification and Visualization on Pattern Databases for Gene Expression Data Analysis. PaRMa 2004
Coauthor Index
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last updated on 2013-10-02 10:54 CEST by the dblp team