MICHELI, ALESSIO Statistiche

MICHELI, ALESSIO  

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Titolo Data di pubblicazione Autore(i) File
Hierarchical temporal representation in linear reservoir computing In corso di stampa Gallicchio, Claudio; Micheli, Alessio; Pedrelli, Luca
Echo state networks for the recognition of type 1 Brugada syndrome from conventional 12-LEAD ECG 1-gen-2024 Vozzi, F.; Pedrelli, L.; Dimitri, G. M.; Micheli, A.; Persiani, E.; Piacenti, M.; Rossi, A.; Solarino, G.; Pieragnoli, P.; Checchi, L.; Zucchelli, G.; Mazzocchetti, L.; De Lucia, R.; Nesti, M.; Notarstefano, P.; Morales, M. A.
Addressing heterophily in node classification with graph echo state networks 1-gen-2023 Micheli, A.; Tortorella, D.
Analysis and Interpretation of ECG Time Series Through Convolutional Neural Networks in Brugada Syndrome Diagnosis 1-gen-2023 Micheli, A.; Natali, M.; Pedrelli, L.; Simone, L.; Morales, M. -A.; Piacenti, M.; Vozzi, F.
Entropy Based Regularization Improves Performance in the Forward-Forward Algorithm 1-gen-2023 Pardi, Matteo; Tortorella, Domenico; Micheli, Alessio
Estimation of COD from UV-Vis Spectrometer Exploiting Machine Learning in Leather Industries Wastewater 1-gen-2023 Cardia, M.; Chessa, S.; Franceschi, M.; Gambineri, F.; Micheli, A.
Exploiting the structure of biochemical pathways to investigate dynamical properties with neural networks for graphs 1-gen-2023 Fontanesi, Michele; Micheli, Alessio; Milazzo, Paolo; Podda, Marco
Graph Representation Learning 1-gen-2023 Bacciu, Davide; Errica, Federico; Micheli, Alessio; Navarin, Nicolò; Pasa, Luca; Podda, Marco; Zambon, Daniele
Hidden Markov Models for Temporal Graph Representation Learning 1-gen-2023 Errica, Federico; Gravina, Alessio; Bacciu, Davide; Micheli, Alessio
Machine Learning for the Estimation of COD from UV-Vis Spectrometer in Leather Industries Wastewater 1-gen-2023 Cardia, Marco; Chessa, Stefano; Franceschi, Massimiliano; Gambineri, Francesca; Micheli, Alessio
Minimum Spanning Set Selection in Graph Kernels 1-gen-2023 Tortorella, D.; Micheli, A.
PyDGN: a Python Library for Flexible and Reproducible Research on Deep Learning for Graphs 1-gen-2023 Errica, Federico; Bacciu, Davide; Micheli, Alessio
Richness of Node Embeddings in Graph Echo State Networks 1-gen-2023 Tortorella, Domenico; Micheli, Alessio
Architectural richness in deep reservoir computing 1-gen-2022 Gallicchio, C.; Micheli, A.
Artificial intelligence algorithms for the recognition of Brugada type 1 pattern on standard 12-leads ECG 1-gen-2022 Vozzi, F; Dimitri, Gm; Piacenti, M; Zucchelli, G; Solarino, G; Nesti, M; Pieragnoli, P; Gallicchio, C; Persiani, E; Morales, Ma; Micheli, A
Beyond Homophily with Graph Echo State Networks 1-gen-2022 Tortorella, Domenico; Micheli, Alessio
Deep Learning in Cheminformatics 1-gen-2022 Micheli, Alessio; Podda, Marco
Discrete-time dynamic graph echo state networks 1-gen-2022 Micheli, A.; Tortorella, D.
Guest Editorial Special Issue on New Frontiers in Extremely Efficient Reservoir Computing 1-gen-2022 Tanaka, G.; Gallicchio, C.; Micheli, A.; Ortega, J. -P.; Hirose, A.
Hierarchical Dynamics in Deep Echo State Networks 1-gen-2022 Tortorella, D.; Gallicchio, C.; Micheli, A.