| 2022 | ICIAP | Imitation Learning for Autonomous Vehicle Driving: How Does the Representation Matter? | Antonio Greco, Leonardo Rundo, Alessia Saggese, Mario Vento, Antonio Vicinanza |
| 2022 | ICPR | Joint Intensity Classification and Specimen Segmentation on HEp-2 Images: a Deep Learning Approach. | Gennaro Percannella, Umberto Petruzzello, Pierluigi Ritrovato, Leonardo Rundo, Francesco Tortorella, Mario Vento |
| 2019 | CIKM | Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR Images. | Changhee Han, Kohei Murao, Tomoyuki Noguchi, Yusuke Kawata, Fumiya Uchiyama, Leonardo Rundo, Hideki Nakayama, Shin'ichi Satoh |
| 2019 | GECCO | Enhancing classification performance of convolutional neural networks for prostate cancer detection on magnetic resonance images: a study with the semantic learning machine. | Paulo Lapa, Ivo Gonalves, Leonardo Rundo, Mauro Castelli |
| 2019 | GECCO | Semantic learning machine improves the CNN-Based detection of prostate cancer in non-contrast-enhanced MRI. | Paulo Lapa, Ivo Gonalves, Leonardo Rundo, Mauro Castelli |
| 2019 | PACT | HaraliCU: GPU-Powered Haralick Feature Extraction on Medical Images Exploiting the Full Dynamics of Gray-Scale Levels. | Leonardo Rundo, Andrea Tangherloni, Simone Galimberti, Paolo Cazzaniga, Ramona Woitek, Evis Sala, Marco S. Nobile, Giancarlo Mauri |
| 2018 | CEC | Computational Intelligence for Parameter Estimation of Biochemical Systems. | Marco S. Nobile, Andrea Tangherloni, Leonardo Rundo, Simone Spolaor, Daniela Besozzi, Giancarlo Mauri, Paolo Cazzaniga |
| 2018 | EuroPar | High Performance Computing for Haplotyping: Models and Platforms. | Andrea Tangherloni, Leonardo Rundo, Simone Spolaor, Marco S. Nobile, Ivan Merelli, Daniela Besozzi, Giancarlo Mauri, Paolo Cazzaniga, Pietro Li |
| 2018 | PDP | GPU-Powered Multi-Swarm Parameter Estimation of Biological Systems: A Master-Slave Approach. | Andrea Tangherloni, Leonardo Rundo, Simone Spolaor, Paolo Cazzaniga, Marco S. Nobile |
| 2017 | CEC | Proactive Particles in Swarm Optimization: A settings-free algorithm for real-parameter single objective optimization problems. | Andrea Tangherloni, Leonardo Rundo, Marco S. Nobile |
| 2017 | CIBCB | Reboot strategies in particle swarm optimization and their impact on parameter estimation of biochemical systems. | Simone Spolaor, Andrea Tangherloni, Leonardo Rundo, Marco S. Nobile, Paolo Cazzaniga |