Claudio Gallicchio

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Alessio MicheliDepartment of Computer Science, University of PisaVerified email at di.unipi.it
Davide BacciuDipartimento di Informatica, Università di PisaVerified email at di.unipi.it
Stefano ChessaFull Professor, Department of Computer Science, University of PisaVerified email at di.unipi.it
Luca PedrelliDepartment of Computer Science, University of PisaVerified email at di.unipi.it
Mauro DragoneAssociate Professor, Heriot-Watt University, Edinburgh, Scotland, UKVerified email at hw.ac.uk
Alessandro SaffiottiProfessor of Computer Science, University or Örebro, SwedenVerified email at aass.oru.se
Paolo BarsocchiSenior Researcher @ ISTI-CNRVerified email at isti.cnr.it
Filippo PalumboInformation Science and Technologies Institute ISTI - CNRVerified email at isti.cnr.it
Federico VozziInstitute of Clinical Physiology - CNRVerified email at ifc.cnr.it
Claudio VairoResearcher at ISTI-CNRVerified email at isti.cnr.it
Claudio GennaroISTI-CNR, PisaVerified email at isti.cnr.it
Maurizio Di RoccoPostdoc Örebro University, AASS centerVerified email at aass.oru.se
Giuseppe AmatoDirector of Research - ISTI - Consiglio Nazionale delle RicercheVerified email at isti.cnr.it
Valerio De CaroPostdoctoral Researcher, University of PisaVerified email at di.unipi.it
Daniele Di SarliUniversity of PisaVerified email at phd.unipi.it
Sonya ColemanUniversity of UlsterVerified email at ulster.ac.uk
Andrea CeniUniversity of PisaVerified email at di.unipi.it
Vincenzo LomonacoTenure-Track Researcher @ Unipi, Founder @ ContinualAI.org, Founder & CEO @ ContinualIST.comVerified email at unipi.it
Ferro E.Consiglio naziomale delle ricercheVerified email at isti.cnr.it
Luigi FortunatiConsiglio Nazionale delle Ricerche - Istituto di Scienza e Tecnologie dell’Informazione “A. Faedo”Verified email at isti.cnr.it

Claudio Gallicchio

Associate Professor at the Department of Computer Science, University of Pisa

Verified email at unipi.it - Homepage

Deep Learning Neural Networks Recurrent Neural Networks Reservoir Computing Echo State Networks


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Deep reservoir computing: A critical experimental analysis C Gallicchio, A Micheli, L Pedrelli Neurocomputing 268, 87-99, 2017	528	2017
Graph echo state networks C Gallicchio, A Micheli Neural Networks (IJCNN), The 2010 International Joint Conference on, 1-8, 2010	289	2010
Design of deep echo state networks C Gallicchio, A Micheli, L Pedrelli Neural Networks 108, 33-47, 2018	237	2018
Architectural and markovian factors of echo state networks C Gallicchio, A Micheli Neural Networks 24 (5), 440-456, 2011	203	2011
Human activity recognition using multisensor data fusion based on reservoir computing F Palumbo, C Gallicchio, R Pucci, A Micheli Journal of Ambient Intelligence and Smart Environments 8 (2), 87-107, 2016	183	2016
Echo state property of deep reservoir computing networks C Gallicchio, A Micheli Cognitive Computation 9, 337-350, 2017	167	2017
Internet of robotic things–converging sensing/actuating, hyperconnectivity, artificial intelligence and IoT platforms O Vermesan, A Bröring, E Tragos, M Serrano, D Bacciu, S Chessa, ... Cognitive hyperconnected digital transformation, 97-155, 2022	148	2022
An experimental characterization of reservoir computing in ambient assisted living applications D Bacciu, P Barsocchi, S Chessa, C Gallicchio, A Micheli Neural Computing and Applications 24, 1451-1464, 2014	139	2014
Deep echo state network (deepesn): A brief survey C Gallicchio, A Micheli arXiv preprint arXiv:1712.04323, 2017	128	2017
Fast and deep graph neural networks C Gallicchio, A Micheli Proceedings of the AAAI conference on artificial intelligence 34 (04), 3898-3905, 2020	110	2020
Tree echo state networks C Gallicchio, A Micheli Neurocomputing 101, 319-337, 2013	86	2013
Deep randomized neural networks C Gallicchio, S Scardapane Recent Trends in Learning From Data: Tutorials from the INNS Big Data and …, 2020	83	2020
Deep echo state networks for diagnosis of parkinson's disease C Gallicchio, A Micheli, L Pedrelli arXiv preprint arXiv:1802.06708, 2018	67*	2018
Local lyapunov exponents of deep echo state networks C Gallicchio, A Micheli, L Silvestri Neurocomputing 298, 34-45, 2018	61	2018
Comparison between DeepESNs and gated RNNs on multivariate time-series prediction C Gallicchio, A Micheli, L Pedrelli arXiv preprint arXiv:1812.11527, 2018	56	2018
Anti-symmetric dgn: a stable architecture for deep graph networks A Gravina, D Bacciu, C Gallicchio arXiv preprint arXiv:2210.09789, 2022	54	2022
Prediction of the Italian electricity price for smart grid applications E Crisostomi, C Gallicchio, A Micheli, M Raugi, M Tucci Neurocomputing 170, 286-295, 2015	54	2015
Robotic ubiquitous cognitive ecology for smart homes G Amato, D Bacciu, M Broxvall, S Chessa, S Coleman, M Di Rocco, ... Journal of Intelligent & Robotic Systems 80, 57-81, 2015	51	2015
Echo state graph neural networks with analogue random resistive memory arrays S Wang, Y Li, D Wang, W Zhang, X Chen, D Dong, S Wang, X Zhang, ... Nature Machine Intelligence 5 (2), 104-113, 2023	49	2023
Enhancing deep neural networks via multiple kernel learning I Lauriola, C Gallicchio, F Aiolli Pattern Recognition 101, 107194, 2020	49	2020

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