| 2025 | ESANN | A feedback-loop approach for galaxy physical properties estimation. | Davide Zago, Giovanni Bonetta, Rossella Cancelliere, Mario Gai |
| 2024 | ESANN | Vision Language Models as Policy Learners in Reinforcement Learning Environments. | Giovanni Bonetta, Davide Zago, Rossella Cancelliere, Mirko Polato, Bernardo Magnini |
| 2022 | ESANN | Lightening CNN architectures by regularization driven weights' pruning. | Giovanni Bonetta, Rossella Cancelliere |
| 2021 | FlAIRS | Retrieval-Augmented Transformer-XL for Close-Domain Dialog Generation. | Giovanni Bonetta, Rossella Cancelliere, Ding Liu, Paul Vozila |
| 2019 | IWANN | A Deep Learning Approach to Anomaly Detection in the Gaia Space Mission Data. | Alessandro Druetto, Marco Roberti, Rossella Cancelliere, Davide Cavagnino, Mario Gai |
| 2014 | AIMSA | Computational Experience with Pseudoinversion-Based Training of Neural Networks Using Random Projection Matrices. | Luca Rubini, Rossella Cancelliere, Patrick Gallinari, Andrea Grosso, Antonino Raiti |
| 2012 | ICONIP | Matrix Pseudoinversion for Image Neural Processing. | Rossella Cancelliere, Mario Gai, Thierry Artires, Patrick Gallinari |
| 2008 | ESANN | Classification of chestnuts with feature selection by noise resilient classifiers. | Elena Roglia, Rossella Cancelliere, Rosa Meo |
| 2003 | ESANN | Neural Network Performances in Astronomical Image Processing. | Rossella Cancelliere, Mario Gai |