Luca Pedrelli

Post-doctoral researcher

/ INRIA

/ Team

None

/ Contact

www.orcid.org/0000-0002-4752-7622

I received the Master’s degree in Computer Science from the University of Pisa, Pisa, Italy, in 2015. In 2019 I defended my Ph.D. Thesis, regarding deep recurrent neural networks for time-series and sequence analysis, at the Department of Computer Science, University of Pisa.
My research concerns the analysis of language comprehension in human brain through the design and the study of novel hierarchical and deep Neural Network architectures in the field of robot speech recognition.
My research interests include deep learning, machine learning, neural networks, reservoir computing models, data analysis and artificial intelligence.

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Scientific articles

Continuously Deep Recurrent Neural Networks
Andrea Ceni, Peter Ford Dominey, Claudio Gallicchio, Alessio Micheli, Luca Pedrelli, Domenico Tortorella.
Lecture Notes in Computer Science. 2024-01-01. : 59-73.
10.1007/978-3-031-70368-3_4
ReservoirPy: An Efficient and User-Friendly Library to Design Echo State Networks
Nathan Trouvain, Luca Pedrelli, Thanh Trung Dinh, Xavier Hinaut.
Artificial Neural Networks and Machine Learning – ICANN 2020. 2020-01-01. : 494-505.
10.1007/978-3-030-61616-8_40
Fast Spectral Radius Initialization for Recurrent Neural Networks
Claudio Gallicchio, Alessio Micheli, Luca Pedrelli.
Proceedings of the International Neural Networks Society. 2019-04-03. : 380-390.
10.1007/978-3-030-16841-4_39
Design of deep echo state networks
Claudio Gallicchio, Alessio Micheli, Luca Pedrelli.
Neural Networks. 2018-12-01. 108 : 33-47.
10.1016/j.neunet.2018.08.002
Hierarchical temporal representation in linear reservoir computing
Claudio Gallicchio, Alessio Micheli, Luca Pedrelli.
Neural Advances in Processing Nonlinear Dynamic Signals. 2018-07-22. : 119-129.
10.1007/978-3-319-95098-3_11
Deep reservoir computing: A critical experimental analysis
Claudio Gallicchio, Alessio Micheli, Luca Pedrelli.
Neurocomputing. 2017-12-01. 268 : 87-99.
10.1016/j.neucom.2016.12.089
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.
Engineering Applications of Artificial Intelligence. 2017-11-01. 66 : 60-74.
10.1016/j.engappai.2017.08.018
A reservoir computing approach for balance assessment
Claudio Gallicchio, Alessio Micheli, Luca Pedrelli, Luigi Fortunati, Federico Vozzi, Oberdan Parodi.
Lecture Notes in Computer Science. 2016-01-01. : 65-77.
10.1007/978-3-319-44412-3_5