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
Bridging XAI and spectral analysis to investigate the inductive biases of deep graph networks
2025-01-01 Fontanesi, Michele; Micheli, Alessio; Podda, Marco; Tortorella, Domenico
Efficient quantification on large-scale networks
2025-01-01 Micheli, Alessio; Moreo, Alejandro; Podda, Marco; Sebastiani, Fabrizio; Simoni, William; Tortorella, Domenico
Encoding Graph Topology with Randomized Ising Models
2025-01-01 Tortorella, Domenico; Brau, Antonio; Micheli, Alessio
Enhancing antibody-antigen interaction prediction with atomic flexibility
2025-01-01 Joubbi, S.; Micheli, A.; Milazzo, P.; Ciano, G.; Gagne, S. M.; Lio, P.; Medini, D.; Maccari, G.
Germline-aware deep learning models and benchmarks for predicting antibody VH–VL pairing
2025-01-01 Joubbi, S.; D'Arco, E.; Maccari, G.; Milazzo, P.; Micheli, A.
Improving Antibody-Antigen Interaction Prediction Through Flexibility with ESMFold
2025-01-01 Joubbi, Sara; Maccari, Giuseppe; Ciano, Giorgio; Micheli, Alessio; Milazzo, Paolo; Medini, Duccio
Investigating Time-Scales in Deep Echo State Networks for Natural Language Processing
2025-01-01 Baccheschi, Corrado; Bondielli, Alessandro; Lenci, Alessandro; Micheli, Alessio; Passaro, Lucia; Podda, Marco; Tortorella, Domenico
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
| 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 | |
| Bridging XAI and spectral analysis to investigate the inductive biases of deep graph networks | 1-gen-2025 | Fontanesi, Michele; Micheli, Alessio; Podda, Marco; Tortorella, Domenico | |
| Efficient quantification on large-scale networks | 1-gen-2025 | Micheli, Alessio; Moreo, Alejandro; Podda, Marco; Sebastiani, Fabrizio; Simoni, William; Tortorella, Domenico | |
| Encoding Graph Topology with Randomized Ising Models | 1-gen-2025 | Tortorella, Domenico; Brau, Antonio; Micheli, Alessio | |
| Enhancing antibody-antigen interaction prediction with atomic flexibility | 1-gen-2025 | Joubbi, S.; Micheli, A.; Milazzo, P.; Ciano, G.; Gagne, S. M.; Lio, P.; Medini, D.; Maccari, G. | |
| Germline-aware deep learning models and benchmarks for predicting antibody VH–VL pairing | 1-gen-2025 | Joubbi, S.; D'Arco, E.; Maccari, G.; Milazzo, P.; Micheli, A. | |
| Improving Antibody-Antigen Interaction Prediction Through Flexibility with ESMFold | 1-gen-2025 | Joubbi, Sara; Maccari, Giuseppe; Ciano, Giorgio; Micheli, Alessio; Milazzo, Paolo; Medini, Duccio | |
| Investigating Time-Scales in Deep Echo State Networks for Natural Language Processing | 1-gen-2025 | Baccheschi, Corrado; Bondielli, Alessandro; Lenci, Alessandro; Micheli, Alessio; Passaro, Lucia; Podda, Marco; Tortorella, Domenico | |
| 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 |