| Deep reservoir computing: A critical experimental analysis C Gallicchio, A Micheli, L Pedrelli Neurocomputing 268, 87-99, 2017 | 515 | 2017 |
| Design of deep echo state networks C Gallicchio, A Micheli, L Pedrelli Neural Networks 108, 33-47, 2018 | 228 | 2018 |
| Deep echo state networks for diagnosis of parkinson's disease C Gallicchio, A Micheli, L Pedrelli arXiv preprint arXiv:1802.06708, 2018 | 61 | 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 | 56 | 2020 |
| Comparison between DeepESNs and gated RNNs on multivariate time-series prediction C Gallicchio, A Micheli, L Pedrelli arXiv preprint arXiv:1812.11527, 2018 | 56 | 2018 |
| 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 | 40 | 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 | 22 | 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 | 13 | 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 | 12 | 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 | 10 | 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 | 6 | 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 | 3 | 2015 |
| 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 | 2 | 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 | 1 | 2023 |
| 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 Università degli Studi di Pisa, 2019 | 1 | 2019 |
| 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 |
| 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 |
| 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 (Supplement_1), euae102. 558, 2024 | | 2024 |
