Luca Pedrelli

Xavier Hinaut

IEEE Trans. Neural Networks Learn. Syst., 2022

2021

Deep Echo State Networks for Functional Ambulation Categories Estimation.

[BibT_eX]

[DOI]

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020

Hierarchical Temporal Representation in Linear Reservoir Computing.

[BibT_eX]

[DOI]

Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020

Hierarchical-Task Reservoir for Anytime POS Tagging from Continuous Speech.

[BibT_eX]

[DOI]

Xavier Hinaut

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

ReservoirPy: An Efficient and User-Friendly Library to Design Echo State Networks.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019

Deep Reservoir Computing: A Novel Class of Deep Recurrent Neural Networks.

[BibT_eX]

[DOI]

PhD thesis, 2019

Fast Spectral Radius Initialization for Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

Comparison between DeepESNs and gated RNNs on multivariate time-series prediction.

[BibT_eX]

[DOI]

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2018

Design of deep echo state networks.

[BibT_eX]

[DOI]

Neural Networks, 2018

Deep Echo State Networks for Diagnosis of Parkinson's Disease.

[BibT_eX]

[DOI]

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017

Deep reservoir computing: A critical experimental analysis.

[BibT_eX]

[DOI]

Neurocomputing, 2017

A learning system for automatic Berg Balance Scale score estimation.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2017

Hierarchical Temporal Representation in Linear Reservoir Computing.

[BibT_eX]

[DOI]