
Emanuele Pesce
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2020 – today
- 2020
- [j3]Emanuele Pesce, Giovanni Montana:
Improving coordination in small-scale multi-agent deep reinforcement learning through memory-driven communication. Mach. Learn. 109(9-10): 1727-1747 (2020) - [i3]Emanuele Pesce, Giovanni Montana:
Connectivity-driven Communication in Multi-agent Reinforcement Learning through Diffusion Processes on Graphs. CoRR abs/2002.05233 (2020)
2010 – 2019
- 2019
- [j2]Angela Serra, Paola Galdi, Emanuele Pesce, Michele Fratello, Francesca Trojsi, Gioacchino Tedeschi, Roberto Tagliaferri, Fabrizio Esposito:
Strong-Weak Pruning for Brain Network Identification in Connectome-Wide Neuroimaging: Application to Amyotrophic Lateral Sclerosis Disease Stage Characterization. Int. J. Neural Syst. 29(7): 1950007:1-1950007:20 (2019) - [j1]Emanuele Pesce, Samuel Withey, Petros-Pavlos Ypsilantis, Robert Bakewell
, Vicky Goh
, Giovanni Montana:
Learning to detect chest radiographs containing pulmonary lesions using visual attention networks. Medical Image Anal. 53: 26-38 (2019) - [i2]Emanuele Pesce, Giovanni Montana:
Improving Coordination in Multi-Agent Deep Reinforcement Learning through Memory-driven Communication. CoRR abs/1901.03887 (2019) - 2017
- [i1]Emanuele Pesce, Petros-Pavlos Ypsilantis, Samuel Withey, Robert Bakewell, Vicky Goh, Giovanni Montana:
Learning to detect chest radiographs containing lung nodules using visual attention networks. CoRR abs/1712.00996 (2017) - 2016
- [c2]Ai Wern Chung, Emanuele Pesce, Ricardo Pio Monti
, Giovanni Montana:
Classifying HCP task-fMRI networks using heat kernels. PRNI 2016: 1-4 - [c1]Jacek Filipczuk, Emanuele Pesce, Sabrina Senatore
:
Sentiment detection for predicting altruistic behaviors in Social Web: A case study. SMC 2016: 4377-4382
Coauthor Index

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