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
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
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.
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
Machine Learning for the Estimation of COD from UV-Vis Spectrometer in Leather Industries Wastewater
2023-01-01 Cardia, Marco; Chessa, Stefano; Franceschi, Massimiliano; Gambineri, Francesca; Micheli, Alessio
Minimum Spanning Set Selection in Graph Kernels
2023-01-01 Tortorella, D.; Micheli, A.
PyDGN: a Python Library for Flexible and Reproducible Research on Deep Learning for Graphs
2023-01-01 Errica, Federico; Bacciu, Davide; Micheli, Alessio
Richness of Node Embeddings in Graph Echo State Networks
2023-01-01 Tortorella, Domenico; Micheli, Alessio
Architectural richness in deep reservoir computing
2022-01-01 Gallicchio, C.; Micheli, A.
Artificial intelligence algorithms for the recognition of Brugada type 1 pattern on standard 12-leads ECG
2022-01-01 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
2022-01-01 Tortorella, Domenico; Micheli, Alessio
Deep Learning in Cheminformatics
2022-01-01 Micheli, Alessio; Podda, Marco
Discrete-time dynamic graph echo state networks
2022-01-01 Micheli, A.; Tortorella, D.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Hierarchical temporal representation in linear reservoir computing | In corso di stampa | Gallicchio, Claudio; Micheli, Alessio; Pedrelli, Luca | |
| 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 | |
| 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. |