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个人简介
His research interests include Machine Learning, Neural Networks and Deep Learning, with an emphasis on novel approaches for learning in structured domains (sequence, tree and graph data), including recurrent and recursive neural networks, reservoir computing, probabilistic and kernelbased models for non-vectorial data and, in particular, a pioneering contribution in the field of constructive convolutional deep neural networks for graphs (Micheli, IEEE Transactions on Neural Networks, 2009), with recent contributions in top-tier conferences such as ICML, ICLR and AAAI
研究兴趣
论文共 203 篇作者统计合作学者相似作者
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Federico Vozzi,Luca Pedrelli,Giovanna Maria Dimitri,Alessio Micheli, Elisa Persiani, Marcello Piacenti,Andrea Rossi,Gianluca Solarino,Paolo Pieragnoli,Luca Checchi,Giulio Zucchelli,Lorenzo Mazzocchetti,
HELIYONno. 3 (2024): e25404-e25404
Ming Li,Alessio Micheli,Yu Guang Wang,Shirui Pan,Pietro Lió, Giorgio Stefano Gnecco,Marcello Sanguineti
IEEE Trans. Neural Networks Learn. Syst.no. 4 (2024): 4367-4372
CoRR (2023)
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Alessio Micheli, Marco Natali,Luca Pedrelli,Lorenzo Simone, Maria-Aurora Morales,Marcello Piacenti,Federico Vozzi
ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING, ICANN 2023, PT IV (2023): 26-36
BIOINFORMATICSno. 11 (2023)
International journal of environmental pollution and remediationpp.01-09, (2023)
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J. Open Source Softw.no. 90 (2023)
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Proceedings of the 2nd World Congress on Civil, Structural, and Environmental Engineering (2023)
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