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Luca Pedrelli
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Year
Deep reservoir computing: A critical experimental analysis
C Gallicchio, A Micheli, L Pedrelli
Neurocomputing 268, 87-99, 2017
5272017
Design of deep echo state networks
C Gallicchio, A Micheli, L Pedrelli
Neural Networks 108, 33-47, 2018
2362018
ReservoirPy: An Efficient and User-Friendly Library to Design Echo State Networks
N Trouvain, L Pedrelli, TT Dinh, X Hinaut
International Conference on Artificial Neural Networks, 494-505, 2020
652020
Deep echo state networks for diagnosis of parkinson's disease
C Gallicchio, A Micheli, L Pedrelli
arXiv preprint arXiv:1802.06708, 2018
622018
Comparison between DeepESNs and gated RNNs on multivariate time-series prediction
C Gallicchio, A Micheli, L Pedrelli
arXiv preprint arXiv:1812.11527, 2018
562018
A learning system for automatic Berg Balance Scale score estimation
D Bacciu, S Chessa, C Gallicchio, A Micheli, L Pedrelli, E Ferro, ...
Engineering Applications of Artificial Intelligence 66, 60-74, 2017
432017
Hierarchical temporal representation in linear reservoir computing
C Gallicchio, A Micheli, L Pedrelli
Neural Advances in Processing Nonlinear Dynamic Signals 27, 119-129, 2019
222019
Fast spectral radius initialization for recurrent neural networks
C Gallicchio, A Micheli, L Pedrelli
Recent Advances in Big Data and Deep Learning: Proceedings of the INNS Big …, 2020
132020
Hierarchical-task reservoir for online semantic analysis from continuous speech
L Pedrelli, X Hinaut
IEEE Transactions on Neural Networks and Learning Systems 33 (6), 2654-2663, 2021
122021
A reservoir computing approach for balance assessment
C Gallicchio, A Micheli, L Pedrelli, L Fortunati, F Vozzi, O Parodi
Advanced Analysis and Learning on Temporal Data: First ECML PKDD Workshop …, 2016
102016
Deep Echo State Networks for diagnosis of Parkinson’s disease. arXiv 2018
C Gallicchio, A Micheli, L Pedrelli
arXiv preprint arXiv:1802.06708, 0
8
Hierarchical-task reservoir for anytime POS tagging from continuous speech
L Pedrelli, X Hinaut
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
62020
Preliminary experimental analysis of reservoir computing approach for balance assessment
C Gallicchio, A Micheli, L Pedrelli, F Vozzi, O Parodi
CEUR WORKSHOP PROCEEDINGS 1425, 57-62, 2015
32015
Echo state networks for the recognition of type 1 Brugada syndrome from conventional 12-LEAD ECG
F Vozzi, L Pedrelli, GM Dimitri, A Micheli, E Persiani, M Piacenti, A Rossi, ...
Heliyon 10 (3), 2024
22024
Analysis and interpretation of ECG time series through convolutional neural networks in Brugada syndrome diagnosis
A Micheli, M Natali, L Pedrelli, L Simone, MA Morales, M Piacenti, F Vozzi
International Conference on Artificial Neural Networks, 26-36, 2023
22023
Latent space exploration and functionalization of a gated working memory model using conceptors
A Strock, NP Rougier, X Hinaut
Cognitive Computation 15 (5), 1485-1496, 2023
12023
Deep reservoir computing: A novel class of deep recurrent neural networks
L Pedrelli
Universitą degli Studi di Pisa, 2019
12019
Continuously Deep Recurrent Neural Networks
A Ceni, PF Dominey, C Gallicchio, A Micheli, L Pedrelli, D Tortorella
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024
2024
Predictive machine learning model for mechanical dilatation in transvenous lead extraction procedures
R De Lucia, A Micheli, A Parlato, M Podda, L Pedrelli, F Aliprandi, ...
Europace 26 (Suppl 1), euae102. 558, 2024
2024
Recognition of Brugada type 1 pattern on ECG by Echo State Networks
F Vozzi, L Pedrelli, MG Dimitri, M Piacenti, A Rossi, G Zucchelli, ...
Europace 26 (Supplement_1), euae102. 567, 2024
2024
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