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
Addressing heterophily in node classification with graph echo state networks
2023-01-01 Micheli, A.; Tortorella, D.
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.
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.
Guest Editorial Special Issue on New Frontiers in Extremely Efficient Reservoir Computing
2022-01-01 Tanaka, G.; Gallicchio, C.; Micheli, A.; Ortega, J. -P.; Hirose, A.
Hierarchical Dynamics in Deep Echo State Networks
2022-01-01 Tortorella, D.; Gallicchio, C.; Micheli, A.
Input Routed Echo State Networks
2022-01-01 Argentieri, Luca; Gallicchio, Claudio; Micheli, Alessio
On the effectiveness of Gated Echo State Networks for data exhibiting long-term dependencies
2022-01-01 Di Sarli, D.; Gallicchio, C.; Micheli, A.
Pyramidal Reservoir Graph Neural Network
2022-01-01 Bianchi, F. M.; Gallicchio, C.; Micheli, A.
Spectral Bounds for Graph Echo State Network Stability
2022-01-01 Tortorella, D.; Gallicchio, C.; Micheli, A.
The Infinite Contextual Graph Markov Model
2022-01-01 Castellana, D; Errica, F; Bacciu, D; Micheli, A
Towards learning trustworthily, automatically, and with guarantees on graphs: An overview
2022-01-01 Oneto, Luca; Navarin, Nicol??; Biggio, Battista; Errica, Federico; Micheli, Alessio; Scarselli, Franco; Bianchini, Monica; Demetrio, Luca; Bongini, Pietro; Tacchella, Armando; Sperduti, Alessandro
A Deep Graph Network–Enhanced Sampling Approach to Efficiently Explore the Space of Reduced Representations of Proteins
2021-01-01 Errica, F.; Giulini, M.; Bacciu, D.; Menichetti, R.; Micheli, A.; Potestio, R.
A preliminary evaluation of Echo State Networks for Brugada syndrome classification
2021-01-01 Dimitri, G. M.; Gallicchio, C.; Micheli, A.; Morales, M. -A.; Ungaro, E.; Vozzi, F.
Benchmarking Reservoir and Recurrent Neural Networks for Human State and Activity Recognition
2021-01-01 Bacciu, D.; Di Sarli, D.; Gallicchio, C.; Micheli, A.; Puccinelli, N.
Classification of Biochemical Pathway Robustness with Neural Networks for Graphs
2021-01-01 Podda, M.; Bove, P.; Micheli, A.; Milazzo, P.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Hierarchical temporal representation in linear reservoir computing | In corso di stampa | Gallicchio, Claudio; Micheli, Alessio; Pedrelli, Luca | |
| Addressing heterophily in node classification with graph echo state networks | 1-gen-2023 | Micheli, A.; Tortorella, D. | |
| 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. | |
| 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. | |
| Input Routed Echo State Networks | 1-gen-2022 | Argentieri, Luca; Gallicchio, Claudio; Micheli, Alessio | |
| On the effectiveness of Gated Echo State Networks for data exhibiting long-term dependencies | 1-gen-2022 | Di Sarli, D.; Gallicchio, C.; Micheli, A. | |
| Pyramidal Reservoir Graph Neural Network | 1-gen-2022 | Bianchi, F. M.; Gallicchio, C.; Micheli, A. | |
| Spectral Bounds for Graph Echo State Network Stability | 1-gen-2022 | Tortorella, D.; Gallicchio, C.; Micheli, A. | |
| The Infinite Contextual Graph Markov Model | 1-gen-2022 | Castellana, D; Errica, F; Bacciu, D; Micheli, A | |
| Towards learning trustworthily, automatically, and with guarantees on graphs: An overview | 1-gen-2022 | Oneto, Luca; Navarin, Nicol??; Biggio, Battista; Errica, Federico; Micheli, Alessio; Scarselli, Franco; Bianchini, Monica; Demetrio, Luca; Bongini, Pietro; Tacchella, Armando; Sperduti, Alessandro | |
| A Deep Graph Network–Enhanced Sampling Approach to Efficiently Explore the Space of Reduced Representations of Proteins | 1-gen-2021 | Errica, F.; Giulini, M.; Bacciu, D.; Menichetti, R.; Micheli, A.; Potestio, R. | |
| A preliminary evaluation of Echo State Networks for Brugada syndrome classification | 1-gen-2021 | Dimitri, G. M.; Gallicchio, C.; Micheli, A.; Morales, M. -A.; Ungaro, E.; Vozzi, F. | |
| Benchmarking Reservoir and Recurrent Neural Networks for Human State and Activity Recognition | 1-gen-2021 | Bacciu, D.; Di Sarli, D.; Gallicchio, C.; Micheli, A.; Puccinelli, N. | |
| Classification of Biochemical Pathway Robustness with Neural Networks for Graphs | 1-gen-2021 | Podda, M.; Bove, P.; Micheli, A.; Milazzo, P. |