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
Paolo BarsocchiSenior Researcher @ ISTI-CNRVerified email at isti.cnr.it
Mauro DragoneAssistant 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
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 VairoISTI-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
Sonya ColemanUniversity of UlsterVerified email at ulster.ac.uk
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
Daniele Di SarliUniversity of PisaVerified email at phd.unipi.it
Anjan Kumar RayNational Institute of Technology SikkimVerified email at nitsikkim.ac.in
Simone ScardapaneAssistant Professor, Sapienza UniversityVerified email at uniroma1.it
Davide La RosaInformation Science and Technologies Institute ISTI - CNRVerified email at isti.cnr.it

Claudio Gallicchio

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

Verified email at di.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	262	2017
Architectural and markovian factors of echo state networks C Gallicchio, A Micheli Neural Networks 24 (5), 440-456, 2011	152	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	130	2016
Graph echo state networks C Gallicchio, A Micheli Neural Networks (IJCNN), The 2010 International Joint Conference on, 1-8, 2010	129*	2010
Design of deep echo state networks C Gallicchio, A Micheli, L Pedrelli Neural Networks 108, 33-47, 2018	124	2018
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	115	2014
Deep tree echo state networks C Gallicchio, A Micheli 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018	113*	2018
Echo state property of deep reservoir computing networks C Gallicchio, A Micheli Cognitive Computation 9 (3), 337-350, 2017	106	2017
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	90	2017
Tree echo state networks C Gallicchio, A Micheli Neurocomputing 101, 319-337, 2013	73	2013
Fast and deep graph neural networks C Gallicchio, A Micheli Proceedings of the AAAI conference on artificial intelligence 34 (04), 3898-3905, 2020	51	2020
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	46	2015
Local lyapunov exponents of deep echo state networks C Gallicchio, A Micheli, L Silvestri Neurocomputing 298, 34-45, 2018	43	2018
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	42	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	41	2015
Comparison between DeepESNs and gated RNNs on multivariate time-series prediction C Gallicchio, A Micheli, L Pedrelli arXiv preprint arXiv:1812.11527, 2018	39	2018
Deep randomized neural networks C Gallicchio, S Scardapane Recent Trends in Learning From Data, 43-68, 2020	37	2020
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	34	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	33	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	33	2011

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