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Claudio Gallicchio
Claudio Gallicchio
Tenure Track Assistant Professor at the Department of Computer Science, University of Pisa
Verified email at di.unipi.it - Homepage
Title
Cited by
Cited by
Year
Deep reservoir computing: A critical experimental analysis
C Gallicchio, A Micheli, L Pedrelli
Neurocomputing 268, 87-99, 2017
4682017
Graph echo state networks
C Gallicchio, A Micheli
Neural Networks (IJCNN), The 2010 International Joint Conference on, 1-8, 2010
2522010
Design of deep echo state networks
C Gallicchio, A Micheli, L Pedrelli
Neural Networks 108, 33-47, 2018
2142018
Architectural and markovian factors of echo state networks
C Gallicchio, A Micheli
Neural Networks 24 (5), 440-456, 2011
1882011
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
1742016
Echo state property of deep reservoir computing networks
C Gallicchio, A Micheli
Cognitive Computation 9, 337-350, 2017
1492017
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
1372014
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
1332022
Deep echo state network (deepesn): A brief survey
C Gallicchio, A Micheli
arXiv preprint arXiv:1712.04323, 2017
1122017
Fast and deep graph neural networks
C Gallicchio, A Micheli
Proceedings of the AAAI conference on artificial intelligence 34 (04), 3898-3905, 2020
1032020
Tree echo state networks
C Gallicchio, A Micheli
Neurocomputing 101, 319-337, 2013
822013
Deep randomized neural networks
C Gallicchio, S Scardapane
Recent Trends in Learning From Data: Tutorials from the INNS Big Data and …, 2020
732020
Deep echo state networks for diagnosis of parkinson's disease
C Gallicchio, A Micheli, L Pedrelli
arXiv preprint arXiv:1802.06708, 2018
63*2018
Local lyapunov exponents of deep echo state networks
C Gallicchio, A Micheli, L Silvestri
Neurocomputing 298, 34-45, 2018
552018
Comparison between DeepESNs and gated RNNs on multivariate time-series prediction
C Gallicchio, A Micheli, L Pedrelli
arXiv preprint arXiv:1812.11527, 2018
532018
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
532015
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
512015
Enhancing deep neural networks via multiple kernel learning
I Lauriola, C Gallicchio, F Aiolli
Pattern Recognition 101, 107194, 2020
452020
Multisensor data fusion for activity recognition based on reservoir computing
F Palumbo, P Barsocchi, C Gallicchio, S Chessa, A Micheli
Evaluating AAL Systems Through Competitive Benchmarking: International …, 2013
452013
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
392017
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