Luca Pedrelli

According to our database, Luca Pedrelli authored at least 17 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Continuously Deep Recurrent Neural Networks.

Andrea Ceni, Peter Ford Dominey, Claudio Gallicchio, Alessio Micheli, Luca Pedrelli, Domenico Tortorella

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2023

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

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022

Hierarchical-Task Reservoir for Online Semantic Analysis From Continuous Speech.

Luca Pedrelli, Xavier Hinaut

IEEE Trans. Neural Networks Learn. Syst., 2022

2021

Deep Echo State Networks for Functional Ambulation Categories Estimation.

Luca Pedrelli, Marco Tramontano, Giuseppe Vannozzi, Andrea Mannini

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

2020

Hierarchical Temporal Representation in Linear Reservoir Computing.

Claudio Gallicchio, Alessio Micheli, Luca Pedrelli

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

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

Luca Pedrelli, 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.

Nathan Trouvain, Luca Pedrelli, Thanh Trung Dinh, Xavier Hinaut

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

2019

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

Luca Pedrelli

PhD thesis, 2019

Fast Spectral Radius Initialization for Recurrent Neural Networks.

Claudio Gallicchio, Alessio Micheli, Luca Pedrelli

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

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

Claudio Gallicchio, Alessio Micheli, Luca Pedrelli

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

2018

Design of deep echo state networks.

Claudio Gallicchio, Alessio Micheli, Luca Pedrelli

Neural Networks, 2018

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

Claudio Gallicchio, Alessio Micheli, Luca Pedrelli

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

2017

Deep reservoir computing: A critical experimental analysis.

Claudio Gallicchio, Alessio Micheli, Luca Pedrelli

Neurocomputing, 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

Hierarchical Temporal Representation in Linear Reservoir Computing.

Claudio Gallicchio, Alessio Micheli, Luca Pedrelli

CoRR, 2017

2015

Preliminary Experimental Analysis of Reservoir Computing Approach for Balance Assessment.

Claudio Gallicchio, Alessio Micheli, Luca Pedrelli, Federico Vozzi, Oberdan Parodi

Proceedings of the 1st International Workshop on Advanced Analytics and Learning on Temporal Data, 2015

A Reservoir Computing Approach for Balance Assessment.

Claudio Gallicchio, Alessio Micheli, Luca Pedrelli, Luigi Fortunati, Federico Vozzi, Oberdan Parodi

Proceedings of the Advanced Analysis and Learning on Temporal Data, 2015