| 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 | 107 | 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 | 56 | 2019 |
| Improving Coordination in Multi-Agent Deep Reinforcement Learning through Memory-driven Communication E Pesce, G Montana Machine Learning, 1-21, 2020 | 18 | 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 | 12 | 2016 |
| Comparing classifiers for web user intent understanding V Deufemia, M Granatello, A Merola, E Pesce, G Polese Empowering organizations, 147-159, 2016 | 5 | 2016 |
| 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 | 3 | 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 | 2 | 2019 |
| Connectivity-driven Communication in Multi-agent Reinforcement Learning through Diffusion Processes on Graphs E Pesce, G Montana arXiv preprint arXiv:2002.05233, 2020 | 1 | 2020 |
| Learning Multi-Agent Coordination through Graph-driven Communication E Pesce, G Montana arXiv e-prints, arXiv: 2002.05233, 2020 | | 2020 |
