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Alessio Micheli
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Neural network for graphs: A contextual constructive approach
A Micheli
IEEE Transactions on Neural Networks 20 (3), 498-511, 2009
6422009
A fair comparison of graph neural networks for graph classification
F Errica, M Podda, D Bacciu, A Micheli
8th International Conference on Learning Representations (ICLR 2020), 2020
4482020
Deep reservoir computing: A critical experimental analysis
C Gallicchio, A Micheli, L Pedrelli
Neurocomputing 268, 87-99, 2017
4422017
A gentle introduction to deep learning for graphs
D Bacciu, F Errica, A Micheli, M Podda
Neural Networks 129, 203-221, 2020
2712020
Graph echo state networks
C Gallicchio, A Micheli
The 2010 international joint conference on neural networks (IJCNN), 1-8, 2010
2192010
Design of deep echo state networks
C Gallicchio, A Micheli, L Pedrelli
Neural Networks 108, 33-47, 2018
2052018
Architectural and markovian factors of echo state networks
C Gallicchio, A Micheli
Neural Networks 24 (5), 440-456, 2011
1842011
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
1682016
Recursive self-organizing network models
B Hammer, A Micheli, A Sperduti, M Strickert
Neural Networks 17 (8-9), 1061-1085, 2004
1682004
Echo state property of deep reservoir computing networks
C Gallicchio, A Micheli
Cognitive Computation 9, 337-350, 2017
1442017
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
1342014
A general framework for unsupervised processing of structured data
B Hammer, A Micheli, A Sperduti, M Strickert
Neurocomputing 57, 3-35, 2004
1302004
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
1232022
Application of cascade correlation networks for structures to chemistry
AM Bianucci, A Micheli, A Sperduti, A Starita
Applied Intelligence 12, 117-147, 2000
1182000
Deep echo state network (deepesn): A brief survey
C Gallicchio, A Micheli
arXiv preprint arXiv:1712.04323, 2017
1092017
Analysis of the internal representations developed by neural networks for structures applied to quantitative structure− activity relationship studies of benzodiazepines
A Micheli, A Sperduti, A Starita, AM Bianucci
Journal of Chemical Information and Computer Sciences 41 (1), 202-218, 2001
1022001
Fast and deep graph neural networks
C Gallicchio, A Micheli
Proceedings of the AAAI conference on artificial intelligence 34 (04), 3898-3905, 2020
992020
Contextual graph markov model: A deep and generative approach to graph processing
D Bacciu, F Errica, A Micheli
International conference on machine learning, 294-303, 2018
882018
Tree echo state networks
C Gallicchio, A Micheli
Neurocomputing 101, 319-337, 2013
812013
Contextual processing of structured data by recursive cascade correlation
A Micheli, D Sona, A Sperduti
IEEE Transactions on Neural Networks 15 (6), 1396-1410, 2004
772004
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Artikelen 1–20