MICHELI, ALESSIO Statistiche
MICHELI, ALESSIO
DIPARTIMENTO DI INFORMATICA
Hierarchical temporal representation in linear reservoir computing
In corso di stampa Gallicchio, Claudio; Micheli, Alessio; Pedrelli, Luca
Antibody design using deep learning: from sequence and structure design to affinity maturation
2024-01-01 Joubbi, Sara; Micheli, Alessio; Milazzo, Paolo; Maccari, Giuseppe; Ciano, Giorgio; Cardamone, Dario; Medini, Duccio
Continual Learning with Graph Reservoirs: Preliminary experiments in graph classification
2024-01-01 Tortorella, Domenico; Micheli, Alessio
Continuously Deep Recurrent Neural Networks
2024-01-01 Ceni, Andrea; Ford Dominey, Peter; Gallicchio, Claudio; Micheli, Alessio; Pedrelli, Luca; Tortorella, Domenico
Designs of graph echo state networks for node classification
2024-01-01 Micheli, Alessio; Tortorella, Domenico
Echo state networks for the recognition of type 1 Brugada syndrome from conventional 12-LEAD ECG
2024-01-01 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
2024-01-01 Fontanesi, Michele; Micheli, Alessio; Podda, Marco
Guest Editorial: Deep Neural Networks for Graphs: Theory, Models, Algorithms, and Applications
2024-01-01 Li, Ming; Micheli, Alessio; Wang, Yu Guang; Pan, Shirui; Lió, Pietro; Gnecco, Giorgio Stefano; Sanguineti, Marcello
Hybrid CNN-MLP for Wastewater Quality Estimation
2024-01-01 Cardia, M.; Chessa, S.; Micheli, A.; Luminare, A. G.; Gambineri, F.
Investigating over-parameterized randomized graph networks
2024-01-01 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
2024-01-01 Cardia, Marco; Chessa, Stefano; Micheli, Alessio; Giuliana Luminare, Antonella; Franceschi, Massimiliano; Gambineri, Francesca
Onion Echo State Networks: A Preliminary Analysis of Dynamics
2024-01-01 Tortorella, Domenico; Micheli, Alessio
Addressing heterophily in node classification with graph echo state networks
2023-01-01 Micheli, A.; Tortorella, D.
Analysis and Interpretation of ECG Time Series Through Convolutional Neural Networks in Brugada Syndrome Diagnosis
2023-01-01 Micheli, A.; Natali, M.; Pedrelli, L.; Simone, L.; Morales, M. -A.; Piacenti, M.; Vozzi, F.
Architectural richness in deep reservoir computing
2023-01-01 Gallicchio, C.; Micheli, A.
Entropy Based Regularization Improves Performance in the Forward-Forward Algorithm
2023-01-01 Pardi, Matteo; Tortorella, Domenico; Micheli, Alessio
Estimation of COD from UV-Vis Spectrometer Exploiting Machine Learning in Leather Industries Wastewater
2023-01-01 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
2023-01-01 Fontanesi, Michele; Micheli, Alessio; Milazzo, Paolo; Podda, Marco
Graph Representation Learning
2023-01-01 Bacciu, Davide; Errica, Federico; Micheli, Alessio; Navarin, Nicolò; Pasa, Luca; Podda, Marco; Zambon, Daniele
Hidden Markov Models for Temporal Graph Representation Learning
2023-01-01 Errica, Federico; Gravina, Alessio; Bacciu, Davide; Micheli, Alessio
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Hierarchical temporal representation in linear reservoir computing | In corso di stampa | Gallicchio, Claudio; Micheli, Alessio; Pedrelli, Luca | |
| 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 | |
| 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. | |
| 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 |