Deep reservoir computing: A critical experimental analysis C Gallicchio, A Micheli, L Pedrelli Neurocomputing 268, 87-99, 2017 | 481 | 2017 |
Graph echo state networks C Gallicchio, A Micheli Neural Networks (IJCNN), The 2010 International Joint Conference on, 1-8, 2010 | 252 | 2010 |
Design of deep echo state networks C Gallicchio, A Micheli, L Pedrelli Neural Networks 108, 33-47, 2018 | 215 | 2018 |
Architectural and markovian factors of echo state networks C Gallicchio, A Micheli Neural Networks 24 (5), 440-456, 2011 | 192 | 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 | 177 | 2016 |
Echo state property of deep reservoir computing networks C Gallicchio, A Micheli Cognitive Computation 9, 337-350, 2017 | 152 | 2017 |
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 | 137 | 2014 |
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 | 134 | 2022 |
Deep echo state network (deepesn): A brief survey C Gallicchio, A Micheli arXiv preprint arXiv:1712.04323, 2017 | 112 | 2017 |
Fast and deep graph neural networks C Gallicchio, A Micheli Proceedings of the AAAI conference on artificial intelligence 34 (04), 3898-3905, 2020 | 102 | 2020 |
Tree echo state networks C Gallicchio, A Micheli Neurocomputing 101, 319-337, 2013 | 82 | 2013 |
Deep randomized neural networks C Gallicchio, S Scardapane Recent Trends in Learning From Data: Tutorials from the INNS Big Data and …, 2020 | 74 | 2020 |
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 | 56 | 2018 |
Comparison between DeepESNs and gated RNNs on multivariate time-series prediction C Gallicchio, A Micheli, L Pedrelli arXiv preprint arXiv:1812.11527, 2018 | 53 | 2018 |
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 | 53 | 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 |
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 | 46 | 2013 |
Enhancing deep neural networks via multiple kernel learning I Lauriola, C Gallicchio, F Aiolli Pattern Recognition 101, 107194, 2020 | 45 | 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 | 39 | 2017 |