Emanuele Pesce
Emanuele Pesce
PhD Student at University of Warwick
Verified email at warwick.ac.uk
Title
Cited by
Cited by
Year
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
1582019
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
792019
Improving Coordination in Multi-Agent Deep Reinforcement Learning through Memory-driven Communication
E Pesce, G Montana
Machine Learning, 1-21, 2020
292020
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
122016
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
52019
Comparing classifiers for web user intent understanding
V Deufemia, M Granatello, A Merola, E Pesce, G Polese
Empowering organizations, 147-159, 2016
52016
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
32016
Learning Multi-Agent Coordination through Graph-driven Communication
E Pesce, G Montana
arXiv preprint arXiv:2002.05233, 2020
12020
Connectivity-driven Communication in Multi-agent Reinforcement Learning through Diffusion Processes on Graphs
E Pesce, G Montana
arXiv preprint arXiv:2002.05233, 2020
12020
Learning Multi-Agent Coordination through Connectivity-driven Communication
E Pesce, G Montana
arXiv preprint arXiv:2002.05233, 2020
2020
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Articles 1–10