A Reservoir Computing Approach for Balance Assessment. - Claudio Gallicchio; Alessio Micheli; Luca Pedrelli; Luigi Fortunati; Federico Vozzi; Oberdan Parodi (AALTD@PKDD/ECML (Revised Selected Papers), 2015)

Preliminary Experimental Analysis of Reservoir Computing Approach for Balance Assessment. - Claudio Gallicchio; Alessio Micheli; Luca Pedrelli; Federico Vozzi; Oberdan Parodi (AALTD@PKDD/ECML, 2015)

Hierarchical Temporal Representation in Linear Reservoir Computing. - Claudio Gallicchio; Alessio Micheli; Luca Pedrelli (CoRR, 2017)

A learning system for automatic Berg Balance Scale score estimation. - Davide Bacciu; Stefano Chessa; Claudio Gallicchio; Alessio Micheli; Luca Pedrelli; Erina Ferro; Luigi Fortunati; Davide La Rosa; Filippo Palumbo; Federico Vozzi; Oberdan Parodi (Eng. Appl. Artif. Intell., 2017)

Deep reservoir computing: A critical experimental analysis. - Claudio Gallicchio; Alessio Micheli; Luca Pedrelli (Neurocomputing, 2017)

Deep Echo State Networks for Diagnosis of Parkinson's Disease. - Claudio Gallicchio; Alessio Micheli; Luca Pedrelli (ESANN, 2018)

Design of deep echo state networks. - Claudio Gallicchio; Alessio Micheli; Luca Pedrelli (Neural Networks, 2018)

Comparison between DeepESNs and gated RNNs on multivariate time-series prediction. - Claudio Gallicchio; Alessio Micheli; Luca Pedrelli (ESANN, 2019)

Fast Spectral Radius Initialization for Recurrent Neural Networks. - Claudio Gallicchio; Alessio Micheli; Luca Pedrelli (INNSBDDL, 2019)

Deep Reservoir Computing: A Novel Class of Deep Recurrent Neural Networks. - Luca Pedrelli (2019)

ReservoirPy: An Efficient and User-Friendly Library to Design Echo State Networks. - Nathan Trouvain; Luca Pedrelli; Thanh Trung Dinh; Xavier Hinaut (ICANN (2), 2020)

Hierarchical-Task Reservoir for Anytime POS Tagging from Continuous Speech. - Luca Pedrelli; Xavier Hinaut (IJCNN, 2020)

Hierarchical Temporal Representation in Linear Reservoir Computing. - Claudio Gallicchio; Alessio Micheli; Luca Pedrelli (Neural Advances in Processing Nonlinear Dynamic Signals, 2020)

Deep Echo State Networks for Functional Ambulation Categories Estimation. - Luca Pedrelli; Marco Tramontano; Giuseppe Vannozzi; Andrea Mannini (ESANN, 2021)

Hierarchical-Task Reservoir for Online Semantic Analysis From Continuous Speech. - Luca Pedrelli; Xavier Hinaut (IEEE Trans. Neural Networks Learn. Syst., 2022)

Analysis and Interpretation of ECG Time Series Through Convolutional Neural Networks in Brugada Syndrome Diagnosis. - Alessio Micheli; Marco Natali; Luca Pedrelli; Lorenzo Simone; Maria-Aurora Morales; Marcello Piacenti; Federico Vozzi (ICANN (4), 2023)

A Preliminary Evaluation of Machine Learning Models for the Diagnosis of Brugada Syndrome from ECG-Extracted Features. - Alessio Micheli; Giovanna Maria Dimitri; Luca Pedrelli; Marco Tranchida; Lorenzo Bachi; Lucia Billeci; Maria-Aurora Morales; Federico Vozzi (WIRN, 2023)

Continuously Deep Recurrent Neural Networks. - Andrea Ceni; Peter Ford Dominey; Claudio Gallicchio; Alessio Micheli; Luca Pedrelli; Domenico Tortorella (ECML/PKDD (7), 2024)