| 2026 | ISMIS | MalARN: An Adversarial Reconstruction Network for Improving Detection of Evolving Malware. | Francesco Pasqualatto, Luca Caviglione, Massimo Guarascio, Angelica Liguori, Giuseppe Manco, Ettore Ritacco, Antonino Rullo |
| 2025 | KDD | Flexible Generation of Preference Data for Recommendation Analysis. | Simone Mungari, Erica Coppolillo, Ettore Ritacco, Giuseppe Manco |
| 2024 | ISMIS | HalpernSGD: A Halpern-Inspired Optimizer for Accelerated Neural Network Convergence and Reduced Carbon Footprint. | Katherine Rossella Foglia, Vittorio Colao, Ettore Ritacco |
| 2024 | ISMIS | Siamese Networks for Unsupervised Failure Detection in Smart Industry. | Angelica Liguori, Ettore Ritacco, Giuseppe Benvenuto, Salvatore Iiritano, Giuseppe Manco, Massimiliano Ruffolo |
| 2021 | ICDM | Adversarial Regularized Reconstruction for Anomaly Detection and Generation. | Angelica Liguori, Giuseppe Manco, Francesco Sergio Pisani, Ettore Ritacco |
| 2020 | ISMIS | Deep Autoencoder Ensembles for Anomaly Detection on Blockchain. | Francesco Scicchitano, Angelica Liguori, Massimo Guarascio, Ettore Ritacco, Giuseppe Manco |
| 2019 | WSDM | Sequential Variational Autoencoders for Collaborative Filtering. | Noveen Sachdeva, Giuseppe Manco, Ettore Ritacco, Vikram Pudi |
| 2018 | ISMIS | Predicting Temporal Activation Patterns via Recurrent Neural Networks. | Giuseppe Manco, Giuseppe Pirr, Ettore Ritacco |
| 2012 | APWEB | Enforcing Interaction and Cooperation in Content-Based Web3.0 Applications. | Antonio Bevacqua, Marco Carnuccio, Alfredo Cuzzocrea, Riccardo Ortale, Ettore Ritacco |
| 2012 | IC3K | Probabilistic Sequence Modeling for Recommender Systems. | Nicola Barbieri, Antonio Bevacqua, Marco Carnuccio, Giuseppe Manco, Ettore Ritacco |
| 2012 | SDM | Balancing Prediction and Recommendation Accuracy: Hierarchical Latent Factors for Preference Data. | Nicola Barbieri, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco |
| 2011 | IC3K | Characterizing Relationships through Co-clustering - A Probabilistic Approach. | Nicola Barbieri, Gianni Costa, Giuseppe Manco, Ettore Ritacco |
| 2011 | IC3K | A Block Coclustering Model for Pattern Discovering in Users' Preference Data. | Nicola Barbieri, Gianni Costa, Giuseppe Manco, Ettore Ritacco |
| 2011 | IC3K | Learning Effective XML Classifiers Based on Discriminatory Structures and Nested Content. | Gianni Costa, Riccardo Ortale, Ettore Ritacco |
| 2011 | IC3K | A Transactional Approach to Associative XML Classification by Content and Structure. | Gianni Costa, Riccardo Ortale, Ettore Ritacco |
| 2011 | ICTAI | Effective XML Classification Using Content and Structural Information via Rule Learning. | Gianni Costa, Riccardo Ortale, Ettore Ritacco |
| 2011 | IDEAS | A new architectural paradigm for content-based web applications: Bor. | Antonio Bevacqua, Marco Carnuccio, Riccardo Ortale, Ettore Ritacco |
| 2011 | SDM | A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering Data. | Nicola Barbieri, Giuseppe Manco, Ettore Ritacco |
| 2009 | DaWaK | Rule Learning with Probabilistic Smoothing. | Gianni Costa, Massimo Guarascio, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco |