Deep reservoir computing: A critical experimental analysis C Gallicchio, A Micheli, L Pedrelli Neurocomputing 268, 87-99, 2017 | 459 | 2017 |
Design of deep echo state networks C Gallicchio, A Micheli, L Pedrelli Neural Networks 108, 33-47, 2018 | 211 | 2018 |
Deep echo state networks for diagnosis of parkinson's disease C Gallicchio, A Micheli, L Pedrelli arXiv preprint arXiv:1802.06708, 2018 | 58 | 2018 |
Comparison between DeepESNs and gated RNNs on multivariate time-series prediction C Gallicchio, A Micheli, L Pedrelli arXiv preprint arXiv:1812.11527, 2018 | 53 | 2018 |
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 | 49 | 2020 |
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 | 36 | 2017 |
Hierarchical temporal representation in linear reservoir computing C Gallicchio, A Micheli, L Pedrelli Neural Advances in Processing Nonlinear Dynamic Signals 27, 119-129, 2019 | 17 | 2019 |
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 | 10 | 2020 |
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 | 9 | 2021 |
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 | 9 | 2016 |
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 | 7 | 2020 |
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 | 2 | 2015 |
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 | 1 | 2023 |
Deep reservoir computing: A novel class of deep recurrent neural networks L Pedrelli | 1 | 2019 |
PREDICTIVE MACHINE LEARNING MODEL FOR MECHANICAL DILATATION IN TRANSVENOUS LEAD EXTRACTION PROCEDURES R De Lucia, A Micheli, A Parlato, M Podda, L Pedrelli, M Parollo, L Segreti, ... European Heart Journal Supplements 26 (Supplement_2), ii82-ii82, 2024 | | 2024 |
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 | | 2024 |
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 | | 2023 |
Deep Echo State Networks for Functional Ambulation Categories Estimation. L Pedrelli, M Tramontano, G Vannozzi, A Mannini ESANN, 2021 | | 2021 |
Reti Neurali Dinamiche per la stima dell’Equilibrio Posturale L Pedrelli, R Controrelatore, A Micheli, G Attardi, DC Gallicchio | | 2015 |