Bayes Point Rule Set Learning. - Mirko Polato; Fabio Aiolli; Luca Bergamin; Tommaso Carraro (ESANN, 2022)

Conditioned Variational Autoencoder for Top-N Item Recommendation. - Tommaso Carraro; Mirko Polato; Luca Bergamin; Fabio Aiolli (ICANN (2), 2022)

Novel Applications for VAE-based Anomaly Detection Systems. - Luca Bergamin; Tommaso Carraro; Mirko Polato; Fabio Aiolli (IJCNN, 2022)

Addressing Challenges in Image Translation for Contrast-Enhanced Mammography using Generative Adversarial Networks. - Mohammad Hosseinipour; Luca Bergamin; Harel Kotler; Gisella Gennaro; Fabio Aiolli (HC@AIxIA, 2024)

Integrating L0 regularization into Multi-layer Logical Perceptron for Interpretable Classification. - Gonzalo Jaimovitch-López; Luca Bergamin; Fabio Aiolli; Roberto Confalonieri 001 (OVERLAY, 2024)

An investigation into creating counterfactual examples for non-linear Support Vector Machines. - Luca Bergamin; Fabio Aiolli (Neurocomputing, 2025)

Improving rule-based classifiers by Bayes point aggregation. - Luca Bergamin; Mirko Polato; Fabio Aiolli (Neurocomputing, 2025)