Folgen
Alessio Micheli
Titel
Zitiert von
Zitiert von
Jahr
Neural network for graphs: A contextual constructive approach
A Micheli
IEEE Transactions on Neural Networks 20 (3), 498-511, 2009
6722009
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
4622020
Deep reservoir computing: A critical experimental analysis
C Gallicchio, A Micheli, L Pedrelli
Neurocomputing 268, 87-99, 2017
4612017
A gentle introduction to deep learning for graphs
D Bacciu, F Errica, A Micheli, M Podda
Neural Networks 129, 203-221, 2020
2852020
Graph echo state networks
C Gallicchio, A Micheli
The 2010 international joint conference on neural networks (IJCNN), 1-8, 2010
2292010
Design of deep echo state networks
C Gallicchio, A Micheli, L Pedrelli
Neural Networks 108, 33-47, 2018
2112018
Architectural and markovian factors of echo state networks
C Gallicchio, A Micheli
Neural Networks 24 (5), 440-456, 2011
1872011
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
1732016
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
1482017
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
1312022
A general framework for unsupervised processing of structured data
B Hammer, A Micheli, A Sperduti, M Strickert
Neurocomputing 57, 3-35, 2004
1302004
Application of cascade correlation networks for structures to chemistry
AM Bianucci, A Micheli, A Sperduti, A Starita
Applied Intelligence 12, 117-147, 2000
1192000
Deep echo state network (deepesn): A brief survey
C Gallicchio, A Micheli
arXiv preprint arXiv:1712.04323, 2017
1112017
Fast and deep graph neural networks
C Gallicchio, A Micheli
Proceedings of the AAAI conference on artificial intelligence 34 (04), 3898-3905, 2020
1022020
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
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
922018
Tree echo state networks
C Gallicchio, A Micheli
Neurocomputing 101, 319-337, 2013
822013
A machine learning approach to estimating preterm infants survival: development of the Preterm Infants Survival Assessment (PISA) predictor
M Podda, D Bacciu, A Micheli, R Bellù, G Placidi, L Gagliardi
Scientific reports 8 (1), 13743, 2018
792018
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20