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
An empirical evaluation of rewiring approaches in graph neural networks
2025-01-01 Micheli, Alessio; Tortorella, Domenico
An Empirical Investigation of Shortcuts in Graph Learning
2025-01-01 Tortorella, Domenico; Fontanesi, Michele; Micheli, Alessio; Podda, Marco
Analyzing Explanations of Deep Graph Networks Through Node Centrality and Connectivity
2025-01-01 Fontanesi, Michele; Micheli, Alessio; Podda, Marco; Tortorella, Domenico
Encoding Graph Topology with Randomized Ising Models
2025-01-01 Tortorella, Domenico; Brau, Antonio; Micheli, Alessio
Improving Antibody-Antigen Interaction Prediction Through Flexibility with ESMFold
2025-01-01 Joubbi, Sara; Maccari, Giuseppe; Ciano, Giorgio; Micheli, Alessio; Milazzo, Paolo; Medini, Duccio
Pre-trained Models Based on Primary Sequence to Classify Antibody Binding to Protein and Non-protein Targets with 80% Accuracy
2025-01-01 Joubbi, Sara; Maccari, Giuseppe; Cardamone, Dario; Ciano, Giorgio; Micheli, Alessio; Milazzo, Paolo; Medini, Duccio
Robustness in Protein-Protein Interaction Networks: A Link Prediction Approach
2025-01-01 Dipalma, Alessandro; Tortorella, Domenico; Micheli, Alessio
Sensitivity analysis on protein-protein interaction networks through deep graph networks
2025-01-01 Dipalma, Alessandro; Fontanesi, Michele; Micheli, Alessio; Milazzo, Paolo; Podda, Marco
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
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Hierarchical temporal representation in linear reservoir computing | In corso di stampa | Gallicchio, Claudio; Micheli, Alessio; Pedrelli, Luca | |
| An empirical evaluation of rewiring approaches in graph neural networks | 1-gen-2025 | Micheli, Alessio; Tortorella, Domenico | |
| An Empirical Investigation of Shortcuts in Graph Learning | 1-gen-2025 | Tortorella, Domenico; Fontanesi, Michele; Micheli, Alessio; Podda, Marco | |
| Analyzing Explanations of Deep Graph Networks Through Node Centrality and Connectivity | 1-gen-2025 | Fontanesi, Michele; Micheli, Alessio; Podda, Marco; Tortorella, Domenico | |
| Encoding Graph Topology with Randomized Ising Models | 1-gen-2025 | Tortorella, Domenico; Brau, Antonio; Micheli, Alessio | |
| Improving Antibody-Antigen Interaction Prediction Through Flexibility with ESMFold | 1-gen-2025 | Joubbi, Sara; Maccari, Giuseppe; Ciano, Giorgio; Micheli, Alessio; Milazzo, Paolo; Medini, Duccio | |
| Pre-trained Models Based on Primary Sequence to Classify Antibody Binding to Protein and Non-protein Targets with 80% Accuracy | 1-gen-2025 | Joubbi, Sara; Maccari, Giuseppe; Cardamone, Dario; Ciano, Giorgio; Micheli, Alessio; Milazzo, Paolo; Medini, Duccio | |
| Robustness in Protein-Protein Interaction Networks: A Link Prediction Approach | 1-gen-2025 | Dipalma, Alessandro; Tortorella, Domenico; Micheli, Alessio | |
| Sensitivity analysis on protein-protein interaction networks through deep graph networks | 1-gen-2025 | Dipalma, Alessandro; Fontanesi, Michele; Micheli, Alessio; Milazzo, Paolo; Podda, Marco | |
| 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 |