Claudio Gallicchio

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Alessio MicheliDepartment of Computer Science, University of PisaEmail verificata su di.unipi.it
Stefano ChessaFull Professor, Department of Computer Science, University of PisaEmail verificata su di.unipi.it
Davide BacciuDipartimento di Informatica, Università di PisaEmail verificata su di.unipi.it
Luca PedrelliDepartment of Computer Science, University of PisaEmail verificata su di.unipi.it
Paolo BarsocchiNational Research Council (ISTI-CNR)Email verificata su isti.cnr.it
Mauro DragoneAssistant Professor, Heriot-Watt University, Edinburgh, Scotland, UKEmail verificata su hw.ac.uk
Alessandro SaffiottiProfessor of Computer Science, University or Örebro, SwedenEmail verificata su aass.oru.se
Filippo PalumboInformation Science and Technologies Institute ISTI - CNREmail verificata su isti.cnr.it
Claudio VairoISTI-CNREmail verificata su isti.cnr.it
Maurizio Di RoccoPostdoc Örebro University, AASS centerEmail verificata su aass.oru.se
Claudio GennaroISTI-CNR, PisaEmail verificata su isti.cnr.it
Federico VozziInstitute of Clinical Physiology - CNREmail verificata su ifc.cnr.it
Giuseppe AmatoSenior Researcher - ISTI - Consiglio Nazionale delle RicercheEmail verificata su isti.cnr.it
Sonya ColemanUniversity of UlsterEmail verificata su ulster.ac.uk
Ferro E.Consiglio naziomale delle ricercheEmail verificata su isti.cnr.it
Luigi FortunatiConsiglio Nazionale delle Ricerche - Istituto di Scienza e Tecnologie dell’Informazione “A. Faedo”Email verificata su isti.cnr.it
Anjan Kumar RayNational Institute of Technology SikkimEmail verificata su nitsikkim.ac.in
David SwordsPhD Student, School of Computer Science and Informatics, University College DublinEmail verificata su ucdconnect.ie
Davide La RosaInformation Science and Technologies Institute ISTI - CNREmail verificata su isti.cnr.it
Thomas Martin McGinnityUlsterEmail verificata su ulster.ac.uk

Claudio Gallicchio

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

Email verificata su di.unipi.it - Home page

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


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Deep reservoir computing: A critical experimental analysis C Gallicchio, A Micheli, L Pedrelli Neurocomputing 268, 87-99, 2017	175	2017
Architectural and markovian factors of echo state networks C Gallicchio, A Micheli Neural Networks 24 (5), 440-456, 2011	135	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	109	2016
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 (6), 1451-1464, 2014	105	2014
Design of deep echo state networks C Gallicchio, A Micheli, L Pedrelli Neural Networks 108, 33-47, 2018	93	2018
Graph echo state networks C Gallicchio, A Micheli Neural Networks (IJCNN), The 2010 International Joint Conference on, 1-8, 2010	93*	2010
Echo state property of deep reservoir computing networks C Gallicchio, A Micheli Cognitive Computation 9 (3), 337-350, 2017	86	2017
Tree echo state networks C Gallicchio, A Micheli Neurocomputing 101, 319-337, 2013	72	2013
Internet of robotic things: converging sensing/actuating, hypoconnectivity, artificial intelligence and IoT Platforms O Vermesan, A Bröring, E Tragos, M Serrano, D Bacciu, S Chessa, ... River Publishers, 2017	67	2017
Deep Reservoir Computing: A Critical Analysis. C Gallicchio, A Micheli ESANN, 2016	52	2016
Deep echo state network (deepesn): A brief survey C Gallicchio, A Micheli arXiv preprint arXiv:1712.04323, 2017	47	2017
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 (1), 57-81, 2015	43	2015
Multisensor data fusion for activity recognition based on reservoir computing F Palumbo, P Barsocchi, C Gallicchio, S Chessa, A Micheli International competition on evaluating AAL systems through competitive …, 2013	39	2013
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	36	2015
Local lyapunov exponents of deep echo state networks C Gallicchio, A Micheli, L Silvestri Neurocomputing 298, 34-45, 2018	35	2018
Comparison between DeepESNs and gated RNNs on multivariate time-series prediction C Gallicchio, A Micheli, L Pedrelli arXiv preprint arXiv:1812.11527, 2018	32	2018
Randomized Machine Learning Approaches: Recent Developments and Challenges C Gallicchio, JD Martín-Guerrero, A Micheli, E Soria-Olivas Proceedings of the 25th European Symposium on Artificial Neural Networks …, 2017	32	2017
Learning context-aware mobile robot navigation in home environments D Bacciu, C Gallicchio, A Micheli, M Di Rocco, A Saffiotti IISA 2014, The 5th International Conference on Information, Intelligence …, 2014	31	2014
User movements forecasting by reservoir computing using signal streams produced by mote-class sensors C Gallicchio, A Micheli, P Barsocchi, S Chessa International conference on mobile lightweight wireless systems, 151-168, 2011	31	2011
Deep Echo state networks for diagnosis of Parkinson's disease C Gallicchio, A Micheli, L Pedrelli arXiv preprint arXiv:1802.06708, 2018	29	2018

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