Luca Pedrelli
TitleCited byYear
Deep reservoir computing: a critical experimental analysis
C Gallicchio, A Micheli, L Pedrelli
Neurocomputing 268, 87-99, 2017
612017
Design of deep echo state networks
C Gallicchio, A Micheli, L Pedrelli
Neural Networks 108, 33-47, 2018
182018
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
122017
Deep Echo State Networks for Diagnosis of Parkinson's Disease
C Gallicchio, A Micheli, L Pedrelli
arXiv preprint arXiv:1802.06708, 2018
112018
Comparison between DeepESNs and gated RNNs on multivariate time-series prediction
C Gallicchio, A Micheli, L Pedrelli
arXiv preprint arXiv:1812.11527, 2018
72018
Hierarchical temporal representation in linear reservoir computing
C Gallicchio, A Micheli, L Pedrelli
Italian Workshop on Neural Nets, 119-129, 2017
72017
A reservoir computing approach for balance assessment
C Gallicchio, A Micheli, L Pedrelli, L Fortunati, F Vozzi, O Parodi
International Workshop on Advanced Analysis and Learning on Temporal Data, 65-77, 2015
72015
Preliminary experimental analysis of reservoir computing approach for balance assessment
C Gallicchio, A Micheli, L Pedrelli, F Vozzi, O Parodi
1st International Workshop on Advanced Analytics and Learning on Temporal …, 2015
22015
Fast Spectral Radius Initialization for Recurrent Neural Networks
C Gallicchio, A Micheli, L Pedrelli
INNS Big Data and Deep Learning conference, 380-390, 2019
2019
Deep Reservoir Computing: A Novel Class of Deep Recurrent Neural Networks
L PEDRELLI
2019
Reti Neurali Dinamiche per la stima dell’Equilibrio Posturale
L Pedrelli, R Controrelatore, A Micheli, G Attardi, DC Gallicchio
2015
Randomized Deep Recurrent Neural Networks
L Pedrelli, A Micheli, DC Gallicchio
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Articles 1–12