| Automated triaging of adult chest radiographs with deep artificial neural networks M Annarumma, SJ Withey, RJ Bakewell, E Pesce, V Goh, G Montana Radiology 291 (1), 196-202, 2019 | 263 | 2019 |
| Learning to detect chest radiographs containing pulmonary lesions using visual attention networks E Pesce, SJ Withey, PP Ypsilantis, R Bakewell, V Goh, G Montana Medical image analysis 53, 26-38, 2019 | 131 | 2019 |
| Improving Coordination in Multi-Agent Deep Reinforcement Learning through Memory-driven Communication E Pesce, G Montana Machine Learning, 1-21, 2020 | 76* | 2020 |
| Classifying HCP task-fMRI networks using heat kernels AW Chung, E Pesce, RP Monti, G Montana 2016 International workshop on pattern recognition in neuroimaging (PRNI), 1-4, 2016 | 15 | 2016 |
| Strong-weak pruning for brain network identification in connectome-wide neuroimaging: Application to amyotrophic lateral sclerosis disease stage characterization A Serra, P Galdi, E Pesce, M Fratello, F Trojsi, G Tedeschi, R Tagliaferri, ... International Journal of Neural Systems, 2019 | 8 | 2019 |
| Learning multi-agent coordination through connectivity-driven communication E Pesce, G Montana Machine Learning 112 (2), 483-514, 2023 | 6* | 2023 |
| Sentiment detection for predicting altruistic behaviors in Social Web: A case study J Filipczuk, E Pesce, S Senatore 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016 | 4 | 2016 |
| Comparing classifiers for web user intent understanding V Deufemia, M Granatello, A Merola, E Pesce, G Polese Empowering Organizations: Enabling Platforms and Artefacts, 147-159, 2016 | 4 | 2016 |
| Benchmarking Multi-agent Deep Reinforcement Learning for Cooperative Missions of Unmanned Aerial Vehicles E Pesce, R Dalmau, L Owen, G Montana Citizen-Centric Multiagent Systems 2023 (CMAS’23), 50, 2023 | 1 | 2023 |
| Learning to communicate in cooperative multi-agent reinforcement learning E Pesce University of Warwick, 2023 | | 2023 |
