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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
Analyzing Explanations of Deep Graph Networks Through Node Centrality and Connectivity 1-gen-2025 Fontanesi, Michele; Micheli, Alessio; Podda, Marco; Tortorella, Domenico
Antibody design using deep learning: from sequence and structure design to affinity maturation 1-gen-2024 Joubbi, Sara; Micheli, Alessio; Milazzo, Paolo; Maccari, Giuseppe; Ciano, Giorgio; Cardamone, Dario; Medini, Duccio
Continual Learning with Graph Reservoirs: Preliminary experiments in graph classification 1-gen-2024 Tortorella, Domenico; Micheli, Alessio
Continuously Deep Recurrent Neural Networks 1-gen-2024 Ceni, Andrea; Ford Dominey, Peter; Gallicchio, Claudio; Micheli, Alessio; Pedrelli, Luca; Tortorella, Domenico
Designs of graph echo state networks for node classification 1-gen-2024 Micheli, Alessio; Tortorella, Domenico
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.
Explaining Graph Classifiers by Unsupervised Node Relevance Attribution 1-gen-2024 Fontanesi, Michele; Micheli, Alessio; Podda, Marco
Guest Editorial: Deep Neural Networks for Graphs: Theory, Models, Algorithms, and Applications 1-gen-2024 Li, Ming; Micheli, Alessio; Wang, Yu Guang; Pan, Shirui; Lió, Pietro; Gnecco, Giorgio Stefano; Sanguineti, Marcello
Hybrid CNN-MLP for Wastewater Quality Estimation 1-gen-2024 Cardia, M.; Chessa, S.; Micheli, A.; Luminare, A. G.; Gambineri, F.
Investigating over-parameterized randomized graph networks 1-gen-2024 Donghi, G.; Pasa, L.; Oneto, L.; Gallicchio, C.; Micheli, A.; Anguita, D.; Sperduti, A.; Navarin, N.
Multitarget Wastewater Quality Assessment in a Smart Industry Context 1-gen-2024 Cardia, Marco; Chessa, Stefano; Micheli, Alessio; Giuliana Luminare, Antonella; Franceschi, Massimiliano; Gambineri, Francesca
Onion Echo State Networks: A Preliminary Analysis of Dynamics 1-gen-2024 Tortorella, Domenico; Micheli, Alessio
Predictive machine learning model for mechanical dilatation in transvenous lead extraction procedures 1-gen-2024 De Lucia, R; Micheli, A; Parlato, A; Podda, M; Pedrelli, L; Aliprandi, F; Parollo, M; Segreti, L; Di Cori, A; Canu, A; Grifoni, G; Barletta, V; Viani, S; Zucchelli, G
Relating Explanations with the Inductive Biases of Deep Graph Networks 1-gen-2024 Fontanesi, Michele; Micheli, Alessio; Podda, Marco
Wastewater Quality Indicator Estimation Using Machine Learning and Data Augmentation Techniques 1-gen-2024 Cardia, Marco; Chessa, Stefano; Micheli, Alessio; Luminare, Antonella Giuliana; Gambineri, Francesca
XAI and Bias of Deep Graph Networks 1-gen-2024 Fontanesi, Michele; Micheli, Alessio; Podda, Marco
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.
Architectural richness in deep reservoir computing 1-gen-2023 Gallicchio, C.; Micheli, A.