Contribution to Gene Expression Data Analysis by Means of Set Pattern Mining. - Ruggero G. Pensa; Jérémy Besson; Céline Robardet; Jean-François Boulicaut (Constraint-Based Mining and Inductive Databases, 2004)

Boolean Property Encoding for Local Set Pattern Discovery: An Application to Gene Expression Data Analysis. - Ruggero G. Pensa; Jean-François Boulicaut (Local Pattern Detection, 2004)

A Methodology for Biologically Relevant Pattern Discovery from Gene Expression Data. - Ruggero G. Pensa; Jérémy Besson; Jean-François Boulicaut (Discovery Science, 2004)

Assessment of discretization techniques for relevant pattern discovery from gene expression data. - Ruggero G. Pensa; Claire Leschi; Jérémy Besson; Jean-François Boulicaut (BIOKDD, 2004)

Using Classification and Visualization on Pattern Databases for Gene Expression Data Analysis. - Céline Robardet; Ruggero G. Pensa; Jérémy Besson; Jean-François Boulicaut (PaRMa, 2004)

Towards Fault-Tolerant Formal Concept Analysis. - Ruggero G. Pensa; Jean-François Boulicaut (AI*IA, 2005)

From Local Pattern Mining to Relevant Bi-cluster Characterization. - Ruggero G. Pensa; Jean-François Boulicaut (IDA, 2005)

Constraint-Based Mining of Fault-Tolerant Patterns from Boolean Data. - Jérémy Besson; Ruggero G. Pensa; Céline Robardet; Jean-François Boulicaut (KDID, 2005)

A Bi-clustering Framework for Categorical Data. - Ruggero G. Pensa; Céline Robardet; Jean-François Boulicaut (PKDD, 2005)

Towards Constrained Co-clustering in Ordered 0/1 Data Sets. - Ruggero G. Pensa; Céline Robardet; Jean-François Boulicaut (ISMIS, 2006)

Supporting bi-cluster interpretation in 0/1 data by means of local patterns. - Ruggero G. Pensa; Céline Robardet; Jean-François Boulicaut (Intell. Data Anal., 2006)

Clustering Formal Concepts to Discover Biologically Relevant Knowledge from Gene Expression Data. - Sylvain Blachon; Ruggero G. Pensa; Jérémy Besson; Céline Robardet; Jean-François Boulicaut; Olivier Gandrillon (Silico Biol., 2007)

Pattern-Preserving k-Anonymization of Sequences and its Application to Mobil- ity Data Mining. - Ruggero G. Pensa; Anna Monreale; Fabio Pinelli; Dino Pedreschi (PiLBA, 2008)

Co-classification sous contraintes par la somme des résidus quadratiques. - Ruggero G. Pensa; Jean-François Boulicaut (EGC, 2008)

Constrained Co-clustering of Gene Expression Data. - Ruggero G. Pensa; Jean-François Boulicaut (SDM, 2008)

Numerical Data Co-clustering via Sum-Squared Residue Minimization and User-defined Constraint Satisfaction. - Ruggero G. Pensa; Jean-François Boulicaut (SEBD, 2008)

SQUAT: A web tool to mine human, murine and avian SAGE data. - Johan Leyritz; Stéphane Schicklin; Sylvain Blachon; Céline Keime; Céline Robardet; Jean-François Boulicaut; Jérémy Besson; Ruggero G. Pensa; Olivier Gandrillon (BMC Bioinform., 2008)

Ontology-Driven Co-clustering of Gene Expression Data. - Francesca Cordero; Ruggero G. Pensa; Alessia Visconti; Dino Ienco; Marco Botta (AI*IA, 2009)

Social Network Analysis as Knowledge Discovery Process: A Case Study on Digital Bibliography. - Michele Coscia; Fosca Giannotti; Ruggero G. Pensa (ASONAM, 2009)

Context-Based Distance Learning for Categorical Data Clustering. - Dino Ienco; Ruggero G. Pensa; Rosa Meo (IDA, 2009)

Parameter-Free Hierarchical Co-clustering by n-Ary Splits. - Dino Ienco; Ruggero G. Pensa; Rosa Meo (ECML/PKDD (1), 2009)

Anonymous Sequences from Trajectory Data. - Ruggero G. Pensa; Anna Monreale; Fabio Pinelli; Dino Pedreschi (SEBD, 2009)

Co-clustering numerical data under user-defined constraints. - Ruggero G. Pensa; Jean-François Boulicaut; Francesca Cordero; Maurizio Atzori (Stat. Anal. Data Min., 2010)

From Context to Distance: Learning Dissimilarity for Categorical Data Clustering. - Dino Ienco; Ruggero G. Pensa; Rosa Meo (ACM Trans. Knowl. Discov. Data, 2012)

Tracking and analyzing TV content on the web through social and ontological knowledge. - Alessio Antonini; Ruggero G. Pensa; Maria Luisa Sapino; Claudio Schifanella; Raffaele Teraoni Prioletti; Luca Vignaroli (EuroITV, 2013)

MeSoOnTV: a media and social-driven ontology-based TV knowledge management system. - Alessio Antonini; Luca Vignaroli; Claudio Schifanella; Ruggero G. Pensa; Maria Luisa Sapino (HT, 2013)

Recommending Multimedia Objects in Cultural Heritage Applications. - Ilaria Bartolini; Vincenzo Moscato; Ruggero G. Pensa; Antonio Penta; Antonio Picariello; Carlo Sansone; Maria Luisa Sapino (ICIAP Workshops, 2013)

Parameter-less co-clustering for star-structured heterogeneous data. - Dino Ienco; Céline Robardet; Ruggero G. Pensa; Rosa Meo (Data Min. Knowl. Discov., 2013)

Guest Editorial. - Ruggero G. Pensa; Francesca Cordero; Céline Rouveirol; Rushed Kanawati (Intell. Data Anal., 2013)

Geographic Summaries from Crowdsourced Data. - Giuseppe Rizzo 002; Giacomo Falcone; Rosa Meo; Ruggero G. Pensa; Raphaël Troncy; Vuk Milicic (ESWC (Satellite Events), 2014)

A Framework for Recommending Multimedia Cultural Visiting Paths. - Ilaria Bartolini; Vincenzo Moscato; Ruggero G. Pensa; Antonio Penta; Antonio Picariello; Carlo Sansone; Maria Luisa Sapino (SEBD, 2014)

Anonymity preserving sequential pattern mining. - Anna Monreale; Dino Pedreschi; Ruggero G. Pensa; Fabio Pinelli (Artif. Intell. Law, 2014)

Hierarchical co-clustering: off-line and incremental approaches. - Ruggero G. Pensa; Dino Ienco; Rosa Meo (Data Min. Knowl. Discov., 2014)

Leveraging additional knowledge to support coherent bicluster discovery in gene expression data. - Alessia Visconti; Francesca Cordero; Ruggero G. Pensa (Intell. Data Anal., 2014)

Multimedia Recommendation and Delivery Strategies. - Ruggero G. Pensa; Antonio Penta; Maria Luisa Sapino (Data Management in Pervasive Systems, 2015)

A centrality-based measure of user privacy in online social networks. - Ruggero G. Pensa; Gianpiero di Blasi (ASONAM, 2016)

A Semi-supervised Approach to Measuring User Privacy in Online Social Networks. - Ruggero G. Pensa; Gianpiero di Blasi (DS, 2016)

Leveraging Cross-Domain Social Media Analytics to Understand TV Topics Popularity. - Ruggero G. Pensa; Maria Luisa Sapino; Claudio Schifanella; Luca Vignaroli (IEEE Comput. Intell. Mag., 2016)

Positive and unlabeled learning in categorical data. - Dino Ienco; Ruggero G. Pensa (Neurocomputing, 2016)

Recommending multimedia visiting paths in cultural heritage applications. - Ilaria Bartolini; Vincenzo Moscato; Ruggero G. Pensa; Antonio Penta; Antonio Picariello; Carlo Sansone; Maria Luisa Sapino (Multim. Tools Appl., 2016)

Is This Movie a Milestone? Identification of the Most Influential Movies in the History of Cinema. - Livio Bioglio; Ruggero G. Pensa (COMPLEX NETWORKS, 2017)

Measuring the Inspiration Rate of Topics in Bibliographic Networks. - Livio Bioglio; Valentina Rho; Ruggero G. Pensa (DS, 2017)

Event-driven TV Programs Web Community Exploration. - Ruggero G. Pensa; Claudio Schifanella; Luca Vignaroli (HT (Extended Proceedings), 2017)

Impact of Neighbors on the Privacy of Individuals in Online Social Networks. - Livio Bioglio; Ruggero G. Pensa (ICCS, 2017)

Concept-Enhanced Multi-view Co-clustering of Document Data. - Valentina Rho; Ruggero G. Pensa (ISMIS, 2017)

TrAnET: Tracking and Analyzing the Evolution of Topics in Information Networks. - Livio Bioglio; Ruggero G. Pensa; Valentina Rho (ECML/PKDD (3), 2017)

Your Privacy, My Privacy? On Leakage Risk Assessment in Online Social Networks. - Ruggero Gaetano Pensa; Livio Bioglio (PAP@PKDD/ECML, 2017)

A privacy self-assessment framework for online social networks. - Ruggero G. Pensa; Gianpiero di Blasi (Expert Syst. Appl., 2017)

Shaping City Neighborhoods Leveraging Crowd Sensors. - Giuseppe Rizzo 002; Rosa Meo; Ruggero G. Pensa; Giacomo Falcone; Raphaël Troncy (Inf. Syst., 2017)

Introduction to the special issue on dynamic networks and knowledge discovery. - Céline Rouveirol; Ruggero G. Pensa; Rushed Kanawati (Mach. Learn., 2017)

A Semisupervised Approach to the Detection and Characterization of Outliers in Categorical Data. - Dino Ienco; Ruggero G. Pensa; Rosa Meo (IEEE Trans. Neural Networks Learn. Syst., 2017)

Enhancing Privacy Awareness in Online Social Networks: a Knowledge-Driven Approach. - Ruggero G. Pensa (CIKM Workshops, 2018)

Semi-Supervised Clustering With Multiresolution Autoencoders. - Dino Ienco; Ruggero G. Pensa (IJCNN, 2018)

Identification of key films and personalities in the history of cinema from a Western perspective. - Livio Bioglio; Ruggero G. Pensa (Appl. Netw. Sci., 2018)

M3Fusion: A Deep Learning Architecture for Multi-{Scale/Modal/Temporal} satellite data fusion. - Paola Benedetti; Dino Ienco; Raffaele Gaetano; Kenji Ose; Ruggero G. Pensa; Stéphane Dupuy (CoRR, 2018)

M3Fusion: A Deep Learning Architecture for Multiscale Multimodal Multitemporal Satellite Data Fusion. - Paola Benedetti; Dino Ienco; Raffaele Gaetano; Kenji Ose; Ruggero G. Pensa; Stéphane Dupuy (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Parameter-Less Tensor Co-clustering. - Elena Battaglia; Ruggero G. Pensa (DS, 2019)

Deep Triplet-Driven Semi-supervised Embedding Clustering. - Dino Ienco; Ruggero G. Pensa (DS, 2019)

Améliorer la classification semi-supervisée à base de graphes. - Dino Ienco; Ruggero G. Pensa (EGC, 2019)

Privacy Issues in Holistic Recommendations. - Federica Cena; Ruggero G. Pensa; Amon Rapp (UMAP (Adjunct Publication), 2019)

Network-aware privacy risk estimation in online social networks. - Ruggero G. Pensa; Gianpiero di Blasi; Livio Bioglio (Soc. Netw. Anal. Min., 2019)

A Social Network Simulation Game to Raise Awareness of Privacy Among School Children. - Livio Bioglio; Sara Capecchi; Federico Peiretti; Dennis Sayed; Antonella Torasso; Ruggero G. Pensa (IEEE Trans. Learn. Technol., 2019)

Towards Content Sensitivity Analysis. - Elena Battaglia; Livio Bioglio; Ruggero G. Pensa (IDA, 2020)

Classification-based Content Sensitivity Analysis. - Elena Battaglia; Livio Bioglio; Ruggero G. Pensa (SEBD, 2020)

Tensor Co-clustering: A Parameter-less Approach. - Elena Battaglia; Ruggero G. Pensa (SEBD, 2020)

Ranking by inspiration: a network science approach. - Livio Bioglio; Valentina Rho; Ruggero G. Pensa (Mach. Learn., 2020)

Enhancing Graph-Based Semisupervised Learning via Knowledge-Aware Data Embedding. - Dino Ienco; Ruggero G. Pensa (IEEE Trans. Neural Networks Learn. Syst., 2020)

DP-DILCA: Learning Differentially Private Context-based Distances for Categorical Data (Discussion Paper). - Elena Battaglia; Ruggero G. Pensa (SEBD, 2021)

An Inductive Framework for Semi-supervised Learning (Discussion Paper). - Shuyi Yang; Dino Ienco; Roberto Esposito; Ruggero G. Pensa (SEBD, 2021)

Attentive Spatial Temporal Graph CNN for Land Cover Mapping From Multi Temporal Remote Sensing Data. - Alessandro Michele Censi; Dino Ienco; Yawogan Jean Eudes Gbodjo; Ruggero Gaetano Pensa; Roberto Interdonato; Raffaele Gaetano (IEEE Access, 2021)

Differentially Private Distance Learning in Categorical Data. - Elena Battaglia; Simone Celano; Ruggero G. Pensa (Data Min. Knowl. Discov., 2021)

ESA☆: A generic framework for semi-supervised inductive learning. - Shuyi Yang; Dino Ienco; Roberto Esposito; Ruggero G. Pensa (Neurocomputing, 2021)

Analysis and classification of privacy-sensitive content in social media posts. - Livio Bioglio; Ruggero G. Pensa (EPJ Data Sci., 2022)

Fair Semi-supervised Representation Learning for Tabular Data Classification. - Shuyi Yang; Mattia Cerrato; Dino Ienco; Ruggero G. Pensa; Roberto Esposito (SEBD, 2023)

Detection of Privacy-Harming Social Media Posts in Italian. - Federico Peiretti; Ruggero G. Pensa (SocialSec, 2023)

A parameter-less algorithm for tensor co-clustering. - Elena Battaglia; Ruggero G. Pensa (Mach. Learn., 2023)

FairSwiRL: fair semi-supervised classification with representation learning. - Shuyi Yang; Mattia Cerrato; Dino Ienco; Ruggero G. Pensa; Roberto Esposito (Mach. Learn., 2023)

Combining SHAP-Driven Co-clustering and Shallow Decision Trees to Explain XGBoost. - Ruggero G. Pensa; Anton Crombach; Sergio Peignier; Christophe Rigotti (DS (1), 2024)

A Gamified Platform to Support Educational Activities About Fake News in Social Media. - Sara Capecchi; Antonio Lieto; Federica Patti; Ruggero G. Pensa; Amon Rapp; Fabiana Vernero; Sandra Zingaro (IEEE Trans. Learn. Technol., 2024)

Fast parameterless prototype-based co-clustering. - Elena Battaglia; Federico Peiretti; Ruggero G. Pensa (Mach. Learn., 2024)

Differentially Private Associative Co-clustering. - Elena Battaglia; Ruggero G. Pensa (SDM, 2025)

Co-clustering: A Survey of the Main Methods, Recent Trends, and Open Problems. - Elena Battaglia; Federico Peiretti; Ruggero Gaetano Pensa (ACM Comput. Surv., 2025)