| 2025 | SDM | Differentially Private Associative Co-clustering. | Elena Battaglia, Ruggero G. Pensa |
| 2024 | DIS | Combining SHAP-Driven Co-clustering and Shallow Decision Trees to Explain XGBoost. | Ruggero G. Pensa, Anton Crombach, Sergio Peignier, Christophe Rigotti |
| 2020 | IDA | Towards Content Sensitivity Analysis. | Elena Battaglia, Livio Bioglio, Ruggero G. Pensa |
| 2019 | DIS | Parameter-Less Tensor Co-clustering. | Elena Battaglia, Ruggero G. Pensa |
| 2019 | DIS | Deep Triplet-Driven Semi-supervised Embedding Clustering. | Dino Ienco, Ruggero G. Pensa |
| 2018 | CIKM | Enhancing Privacy Awareness in Online Social Networks: a Knowledge-Driven Approach. | Ruggero G. Pensa |
| 2018 | IJCNN | Semi-Supervised Clustering With Multiresolution Autoencoders. | Dino Ienco, Ruggero G. Pensa |
| 2017 | DIS | Measuring the Inspiration Rate of Topics in Bibliographic Networks. | Livio Bioglio, Valentina Rho, Ruggero G. Pensa |
| 2017 | ICCS | Impact of Neighbors on the Privacy of Individuals in Online Social Networks. | Livio Bioglio, Ruggero G. Pensa |
| 2017 | ISMIS | Concept-Enhanced Multi-view Co-clustering of Document Data. | Valentina Rho, Ruggero G. Pensa |
| 2016 | DIS | A Semi-supervised Approach to Measuring User Privacy in Online Social Networks. | Ruggero G. Pensa, Gianpiero di Blasi |
| 2013 | ICIAP | Recommending Multimedia Objects in Cultural Heritage Applications. | Ilaria Bartolini, Vincenzo Moscato, Ruggero G. Pensa, Antonio Penta, Antonio Picariello, Carlo Sansone, Maria Luisa Sapino |
| 2009 | IDA | Context-Based Distance Learning for Categorical Data Clustering. | Dino Ienco, Ruggero G. Pensa, Rosa Meo |
| 2008 | ESORICS | Pattern-Preserving k-Anonymization of Sequences and its Application to Mobil- ity Data Mining. | Ruggero G. Pensa, Anna Monreale, Fabio Pinelli, Dino Pedreschi |
| 2008 | SDM | Constrained Co-clustering of Gene Expression Data. | Ruggero G. Pensa, Jean-Franois Boulicaut |
| 2006 | ISMIS | Towards Constrained Co-clustering in Ordered 0/1 Data Sets. | Ruggero G. Pensa, Cline Robardet, Jean-Franois Boulicaut |
| 2005 | IDA | From Local Pattern Mining to Relevant Bi-cluster Characterization. | Ruggero G. Pensa, Jean-Franois Boulicaut |
| 2004 | DIS | A Methodology for Biologically Relevant Pattern Discovery from Gene Expression Data. | Ruggero G. Pensa, Jrmy Besson, Jean-Franois Boulicaut |
| 2004 | KDD | Assessment of discretization techniques for relevant pattern discovery from gene expression data. | Ruggero G. Pensa, Claire Leschi, Jrmy Besson, Jean-Franois Boulicaut |