BORRA, DAVIDE
BORRA, DAVIDE
DEI - DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA ELETTRICA E DELL'INFORMAZIONE "GUGLIELMO MARCONI"
Ricercatori a tempo determinato
Inferring Arm Movement Direction from EEG Signals Using Explainable Deep Learning
2026 Fraternali, Matteo; Magosso, Elisa; Borra, Davide
Revealing EEG signatures of intervention in disorder of consciousness using artificial intelligence: methodology and feasibility
2026 Borra, D.; Bonsangue, V.; Straudi, S.; Magosso, E.
A Compact Convolutional Neural Network for Decoding EEG Functional Connectivity: Application to Motor Imagery
2025 Borra, Davide; Diciotti, Stefano; Magosso, Elisa
A deep learning-enriched framework for analyzing brain functional connectivity
2025 Borra, D.; Magosso, E.
A protocol for trustworthy EEG decoding with neural networks
2025 Borra, Davide; Magosso, Elisa; Ravanelli, Mirco
Automatically Revealing Multi-Domain EEG Signatures Related to Motor Imagery Using a Fully-Interpretable Convolutional Neural Network
2025 Borra, Davide; Benedetti, Agnese; Magosso, Elisa
Combining EEG Oscillation Analysis and Explainable Artificial Intelligence for Characterizing Visuospatial Attention
2025 Magosso, E.; Bruno, P.; Borra, D.
Editorial: Methods in brain-computer interfaces: 2023
2025 Borra, Davide; Ma, Ming; Martinez-Martin, Ester; Xia, Likun
Explainability of fMRI Decoding Models Can Unveil Insights into Neural Mechanisms Related to Emotions
2025 Agostinho, Daniel; Borra, Davide; Castelo-Branco, Miguel; Simões, Marco
Interpretable and Explainable AI Reveals EEG Signatures of Intervention in Minimally Conscious State Patients
2025 Borra, Davide; Fraternali, Matteo; Bonsangue, Valentina; Lavezzi, Susanna; Straudi, Sofia; Magosso, Elisa
Unveiling multi-domain signatures of EEG oscillations using a fully-interpretable convolutional neural network
2025 Borra, Davide; Magosso, Elisa
Convolutional neural networks reveal properties of reach-to-grasp encoding in posterior parietal cortex
2024 Borra, D.; Filippini, M.; Ursino, M.; Fattori, P.; Magosso, E.
EEG Features Learned by Convolutional Neural Networks Reflect Alterations of Social Stimuli Processing in Autism
2024 Borra, D.; Diciotti, S.; Magosso, E.
Explaining Network Decision Provides Insights on the Causal Interaction Between Brain Regions in a Motor Imagery Task
2024 Borra, D.; Ravanelli, M.
Multi-modal Decoding of Reach-to-Grasping from EEG and EMG via Neural Networks
2024 Borra, D.; Fraternali, M.; Ravanelli, M.; Magosso, E.
Open-Source Conversational AI with SpeechBrain 1.0
2024 Ravanelli, M.; Parcollet, T.; Moumen, A.; De Langen, S.; Subakan, C.; Plantinga, P.; Wang, Y.; Mousavi, P.; Libera, L. D.; Ploujnikov, A.; Paissan, F.; Borra, D.; Zaiem, S.; Zhao, Z.; Zhang, S.; Karakasidis, G.; Yeh, S. -L.; Champion, P.; Rouhe, A.; Braun, R.; Mai, F.; Zuluaga-Gomez, J.; Mousavi, S. M.; Nautsch, A.; Nguyen, H.; Liu, X.; Sagar, S.; Duret, J.; Mdhaffar, S.; Laperriere, G.; Rouvier, M.; De Mori, R.; Esteve, Y.
SpeechBrain-MOABB: An open-source Python library for benchmarking deep neural networks applied to EEG signals
2024 Borra, D.; Paissan, F.; Ravanelli, M.
The strength of anticipated distractors shapes EEG alpha and theta oscillations in a Working Memory task
2024 Magosso, Elisa; Borra, Davide
A Bayesian-Optimized Convolutional Neural Network to Decode Reach-to-Grasp from Macaque Dorsomedial Visual Stream
2023 Borra D.; Filippini M.; Ursino M.; Fattori P.; Magosso E.
Decoding movement kinematics from EEG using an interpretable convolutional neural network
2023 Borra D.; Mondini V.; Magosso E.; Muller-Putz G.R.