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Ruggero G. Pensa
Ruggero Gaetano Pensa
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2020 – today
- 2024
- [j31]Elena Battaglia, Federico Peiretti
, Ruggero G. Pensa
Fast parameterless prototype-based co-clustering. Mach. Learn. 113(4): 2153-2181 (2024) - [j30]Sara Capecchi
A Gamified Platform to Support Educational Activities About Fake News in Social Media. IEEE Trans. Learn. Technol. 17: 1805-1819 (2024) - 2023
- [j29]Elena Battaglia, Ruggero G. Pensa
A parameter-less algorithm for tensor co-clustering. Mach. Learn. 112(2): 385-427 (2023) - [j28]Shuyi Yang, Mattia Cerrato, Dino Ienco, Ruggero G. Pensa
FairSwiRL: fair semi-supervised classification with representation learning. Mach. Learn. 112(9): 3051-3076 (2023) - [c46]Shuyi Yang, Mattia Cerrato, Dino Ienco, Ruggero G. Pensa, Roberto Esposito:
Fair Semi-supervised Representation Learning for Tabular Data Classification. SEBD 2023: 488-496 - [c45]Federico Peiretti
Detection of Privacy-Harming Social Media Posts in Italian. SocialSec 2023: 203-223 - 2022
- [j27]Livio Bioglio, Ruggero G. Pensa
Analysis and classification of privacy-sensitive content in social media posts. EPJ Data Sci. 11(1): 12 (2022) - 2021
- [j26]Alessandro Michele Censi, Dino Ienco
Attentive Spatial Temporal Graph CNN for Land Cover Mapping From Multi Temporal Remote Sensing Data. IEEE Access 9: 23070-23082 (2021) - [j25]Elena Battaglia, Simone Celano, Ruggero G. Pensa
Differentially Private Distance Learning in Categorical Data. Data Min. Knowl. Discov. 35(5): 2050-2088 (2021) - [j24]Shuyi Yang, Dino Ienco, Roberto Esposito
ESA☆: A generic framework for semi-supervised inductive learning. Neurocomputing 447: 102-117 (2021) - [c44]Shuyi Yang, Dino Ienco, Roberto Esposito, Ruggero G. Pensa:
An Inductive Framework for Semi-supervised Learning (Discussion Paper). SEBD 2021: 371-378 - [c43]Elena Battaglia, Ruggero G. Pensa:
DP-DILCA: Learning Differentially Private Context-based Distances for Categorical Data (Discussion Paper). SEBD 2021: 482-489 - 2020
- [j23]Livio Bioglio
Ranking by inspiration: a network science approach. Mach. Learn. 109(6): 1205-1229 (2020) - [j22]Dino Ienco
Enhancing Graph-Based Semisupervised Learning via Knowledge-Aware Data Embedding. IEEE Trans. Neural Networks Learn. Syst. 31(11): 5014-5020 (2020) - [c42]Elena Battaglia, Livio Bioglio, Ruggero G. Pensa
Towards Content Sensitivity Analysis. IDA 2020: 67-79 - [c41]Elena Battaglia, Ruggero G. Pensa:
Tensor Co-clustering: A Parameter-less Approach. SEBD 2020: 318-325 - [c40]Elena Battaglia, Livio Bioglio, Ruggero G. Pensa:
Classification-based Content Sensitivity Analysis. SEBD 2020: 326-333
2010 – 2019
- 2019
- [j21]Ruggero G. Pensa
Network-aware privacy risk estimation in online social networks. Soc. Netw. Anal. Min. 9(1): 15:1-15:15 (2019) - [j20]Livio Bioglio, Sara Capecchi
A Social Network Simulation Game to Raise Awareness of Privacy Among School Children. IEEE Trans. Learn. Technol. 12(4): 456-469 (2019) - [c39]Elena Battaglia, Ruggero G. Pensa
Parameter-Less Tensor Co-clustering. DS 2019: 205-219 - [c38]Dino Ienco
Deep Triplet-Driven Semi-supervised Embedding Clustering. DS 2019: 220-234 - [c37]Dino Ienco, Ruggero G. Pensa:
Améliorer la classification semi-supervisée à base de graphes. EGC 2019: 357-358 - [c36]Federica Cena, Ruggero G. Pensa, Amon Rapp
Privacy Issues in Holistic Recommendations. UMAP (Adjunct Publication) 2019: 263-265 - [e3]Carlos Alzate, Anna Monreale, Livio Bioglio, Valerio Bitetta, Ilaria Bordino, Guido Caldarelli, Andrea Ferretti, Riccardo Guidotti, Francesco Gullo, Stefano Pascolutti, Ruggero G. Pensa, Céline Robardet, Tiziano Squartini:
ECML PKDD 2018 Workshops - MIDAS 2018 and PAP 2018, Dublin, Ireland, September 10-14, 2018, Proceedings. Lecture Notes in Computer Science 11054, Springer 2019, ISBN 978-3-030-13462-4 [contents] - 2018
- [j19]Livio Bioglio
Identification of key films and personalities in the history of cinema from a Western perspective. Appl. Netw. Sci. 3(1): 50:1-50:23 (2018) - [j18]Paola Benedetti, Dino Ienco
M3Fusion: A Deep Learning Architecture for Multiscale Multimodal Multitemporal Satellite Data Fusion. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(12): 4939-4949 (2018) - [c35]Ruggero G. Pensa:
Enhancing Privacy Awareness in Online Social Networks: a Knowledge-Driven Approach. CIKM Workshops 2018 - [c34]Dino Ienco, Ruggero G. Pensa:
Semi-Supervised Clustering With Multiresolution Autoencoders. IJCNN 2018: 1-8 - [i1]Paola Benedetti, Dino Ienco, Raffaele Gaetano, Kenji Ose, Ruggero G. Pensa, Stéphane Dupuy:
M3Fusion: A Deep Learning Architecture for Multi-{Scale/Modal/Temporal} satellite data fusion. CoRR abs/1803.01945 (2018) - 2017
- [j17]Ruggero G. Pensa, Gianpiero di Blasi:
A privacy self-assessment framework for online social networks. Expert Syst. Appl. 86: 18-31 (2017) - [j16]Giuseppe Rizzo
Shaping City Neighborhoods Leveraging Crowd Sensors. Inf. Syst. 64: 368-378 (2017) - [j15]Céline Rouveirol, Ruggero G. Pensa, Rushed Kanawati:
Introduction to the special issue on dynamic networks and knowledge discovery. Mach. Learn. 106(8): 1131-1132 (2017) - [j14]Dino Ienco
A Semisupervised Approach to the Detection and Characterization of Outliers in Categorical Data. IEEE Trans. Neural Networks Learn. Syst. 28(5): 1017-1029 (2017) - [c33]Livio Bioglio, Ruggero G. Pensa:
Is This Movie a Milestone? Identification of the Most Influential Movies in the History of Cinema. COMPLEX NETWORKS 2017: 921-934 - [c32]Livio Bioglio, Valentina Rho, Ruggero G. Pensa
Measuring the Inspiration Rate of Topics in Bibliographic Networks. DS 2017: 309-323 - [c31]Ruggero G. Pensa, Claudio Schifanella, Luca Vignaroli:
Event-driven TV Programs Web Community Exploration. HT (Extended Proceedings) 2017 - [c30]Livio Bioglio, Ruggero G. Pensa:
Impact of Neighbors on the Privacy of Individuals in Online Social Networks. ICCS 2017: 28-37 - [c29]Valentina Rho, Ruggero G. Pensa
Concept-Enhanced Multi-view Co-clustering of Document Data. ISMIS 2017: 457-467 - [c28]Ruggero Gaetano Pensa, Livio Bioglio:
Your Privacy, My Privacy? On Leakage Risk Assessment in Online Social Networks. PAP@PKDD/ECML 2017: 3-9 - [c27]Livio Bioglio, Ruggero G. Pensa
TrAnET: Tracking and Analyzing the Evolution of Topics in Information Networks. ECML/PKDD (3) 2017: 432-436 - 2016
- [j13]Ruggero G. Pensa, Maria Luisa Sapino, Claudio Schifanella
Leveraging Cross-Domain Social Media Analytics to Understand TV Topics Popularity. IEEE Comput. Intell. Mag. 11(3): 10-21 (2016) - [j12]Dino Ienco
Positive and unlabeled learning in categorical data. Neurocomputing 196: 113-124 (2016) - [j11]Ilaria Bartolini
Recommending multimedia visiting paths in cultural heritage applications. Multim. Tools Appl. 75(7): 3813-3842 (2016) - [c26]Ruggero G. Pensa, Gianpiero di Blasi:
A centrality-based measure of user privacy in online social networks. ASONAM 2016: 1438-1439 - [c25]Ruggero G. Pensa, Gianpiero di Blasi:
A Semi-supervised Approach to Measuring User Privacy in Online Social Networks. DS 2016: 392-407 - 2015
- [p1]Ruggero G. Pensa, Antonio Penta, Maria Luisa Sapino:
Multimedia Recommendation and Delivery Strategies. Data Management in Pervasive Systems 2015: 327-342 - 2014
- [j10]Anna Monreale
Anonymity preserving sequential pattern mining. Artif. Intell. Law 22(2): 141-173 (2014) - [j9]Ruggero G. Pensa
Hierarchical co-clustering: off-line and incremental approaches. Data Min. Knowl. Discov. 28(1): 31-64 (2014) - [j8]Alessia Visconti
Leveraging additional knowledge to support coherent bicluster discovery in gene expression data. Intell. Data Anal. 18(5): 837-855 (2014) - [c24]Giuseppe Rizzo
Geographic Summaries from Crowdsourced Data. ESWC (Satellite Events) 2014: 477-482 - [c23]Ilaria Bartolini, Vincenzo Moscato, Ruggero G. Pensa, Antonio Penta, Antonio Picariello, Carlo Sansone, Maria Luisa Sapino:
A Framework for Recommending Multimedia Cultural Visiting Paths. SEBD 2014: 311-318 - [e2]Rushed Kanawati, Ruggero G. Pensa, Céline Rouveirol:
Proceedings of the 2nd International Workshop on Dynamic Networks and Knowledge Discovery, DyNaK 2014, co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2014), Nancy, France, September 15, 2014. CEUR Workshop Proceedings 1229, CEUR-WS.org 2014 [contents] - 2013
- [j7]Dino Ienco
Parameter-less co-clustering for star-structured heterogeneous data. Data Min. Knowl. Discov. 26(2): 217-254 (2013) - [j6]Ruggero G. Pensa
Guest Editorial. Intell. Data Anal. 17(1): 1-3 (2013) - [c22]Alessio Antonini
Tracking and analyzing TV content on the web through social and ontological knowledge. EuroITV 2013: 13-22 - [c21]Alessio Antonini
MeSoOnTV: a media and social-driven ontology-based TV knowledge management system. HT 2013: 208-213 - [c20]Ilaria Bartolini
Recommending Multimedia Objects in Cultural Heritage Applications. ICIAP Workshops 2013: 257-267 - 2012
- [j5]Dino Ienco
From Context to Distance: Learning Dissimilarity for Categorical Data Clustering. ACM Trans. Knowl. Discov. Data 6(1): 1:1-1:25 (2012) - 2010
- [j4]Ruggero G. Pensa
Co-clustering numerical data under user-defined constraints. Stat. Anal. Data Min. 3(1): 38-55 (2010) - [e1]Ruggero G. Pensa, Francesca Cordero, Céline Rouveirol, Rushed Kanawati, José A. Troyano, Paolo Rosso:
Proceedings of the 1st Workshop on Dynamic Networks and Knowledge Discovery, Barcelona, Spain, September 24, 2010. CEUR Workshop Proceedings 655, CEUR-WS.org 2010 [contents]
2000 – 2009
- 2009
- [c19]Francesca Cordero
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
Context-Based Distance Learning for Categorical Data Clustering. IDA 2009: 83-94 - [c16]Dino Ienco
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
- [j3]Johan Leyritz, Stéphane Schicklin, Sylvain Blachon, Céline Keime
SQUAT: A web tool to mine human, murine and avian SAGE data. BMC Bioinform. 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 - 2007
- [j2]Sylvain Blachon, Ruggero G. Pensa, Jérémy Besson, Céline Robardet, Jean-François Boulicaut, Olivier Gandrillon:
Clustering Formal Concepts to Discover Biologically Relevant Knowledge from Gene Expression Data. Silico Biol. 7(4-5): 467-483 (2007) - 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
Towards Constrained Co-clustering in Ordered 0/1 Data Sets. ISMIS 2006: 425-434 - 2005
- [c9]Ruggero G. Pensa
Towards Fault-Tolerant Formal Concept Analysis. AI*IA 2005: 212-223 - [c8]Ruggero G. Pensa
From Local Pattern Mining to Relevant Bi-cluster Characterization. IDA 2005: 293-304 - [c7]Jérémy Besson, Ruggero G. Pensa
Constraint-Based Mining of Fault-Tolerant Patterns from Boolean Data. KDID 2005: 55-71 - [c6]Ruggero G. Pensa
A Bi-clustering Framework for Categorical Data. PKDD 2005: 643-650 - 2004
- [c5]Ruggero G. Pensa
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
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
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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