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Alessio Micheli
Alessio Micheli
Department of Computer Science, University of Pisa
Подтвержден адрес электронной почты в домене di.unipi.it - Главная страница
Название
Процитировано
Процитировано
Год
Neural network for graphs: A contextual constructive approach
A Micheli
IEEE Transactions on Neural Networks 20 (3), 498-511, 2009
4112009
Deep reservoir computing: A critical experimental analysis
C Gallicchio, A Micheli, L Pedrelli
Neurocomputing 268, 87-99, 2017
2782017
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
2422020
Recursive self-organizing network models
B Hammer, A Micheli, A Sperduti, M Strickert
Neural Networks 17 (8-9), 1061-1085, 2004
1672004
Architectural and markovian factors of echo state networks
C Gallicchio, A Micheli
Neural Networks 24 (5), 440-456, 2011
1542011
A gentle introduction to deep learning for graphs
D Bacciu, F Errica, A Micheli, M Podda
Neural Networks 129, 203-221, 2020
1442020
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
1342016
Design of deep echo state networks
C Gallicchio, A Micheli, L Pedrelli
Neural Networks 108, 33-47, 2018
1292018
A general framework for unsupervised processing of structured data
B Hammer, A Micheli, A Sperduti, M Strickert
Neurocomputing 57, 3-35, 2004
1272004
Graph echo state networks
C Gallicchio, A Micheli
The 2010 international joint conference on neural networks (IJCNN), 1-8, 2010
1192010
Deep tree echo state networks
C Gallicchio, A Micheli
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
117*2018
Application of cascade correlation networks for structures to chemistry
AM Bianucci, A Micheli, A Sperduti, A Starita
Applied Intelligence 12 (1), 117-147, 2000
1152000
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
1142014
Echo state property of deep reservoir computing networks
C Gallicchio, A Micheli
Cognitive Computation 9 (3), 337-350, 2017
1082017
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
952001
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
912017
Tree echo state networks
C Gallicchio, A Micheli
Neurocomputing 101, 319-337, 2013
742013
Ionic liquids: prediction of their melting points by a recursive neural network model
R Bini, C Chiappe, C Duce, A Micheli, R Solaro, A Starita, MR Tiné
Green Chemistry 10 (3), 306-309, 2008
702008
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
702004
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
672018
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