SPERDUTI, ALESSANDRO Statistiche
SPERDUTI, ALESSANDRO
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.
An Untrained Neural Model for Fast and Accurate Graph Classification
2023-01-01 Navarin, N.; Pasa, L.; Gallicchio, C.; Sperduti, 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
Encoding-based memory for recurrent neural networks
2021-01-01 Carta, A.; Sperduti, A.; Bacciu, D.
Incremental Training of a Recurrent Neural Network Exploiting a Multi-Scale Dynamic Memory
2020-01-01 Carta, Antonio; Sperduti, Alessandro; Bacciu, Davide
Short-Term Memory Optimization in Recurrent Neural Networks by Autoencoder-based Initialization
2020-01-01 Carta, Antonio; Sperduti, Alessandro; Bacciu, Davide
Linear Memory Networks
2019-01-01 Bacciu, D.; Carta, A.; Sperduti, A.
Recursive Neural Networks Prediction of Polymer Glass Transition Temperature from Monomer Structure. An Application to Acrylic and Methacrylic Polymers
2004-01-01 Duce, Celia; Solaro, Roberto; Tine', MARIA ROSARIA; Micheli, Alessio; Sperduti, Alessandro; Starita, Antonina
A QSAR study of A1adenosine receptor antagonists by a new neural network model
2001-01-01 Bianucci, ANNA MARIA PAOLA; G., Biagi; Giorgi, Irene; Livi, Oreste; Micheli, Alessio; V., Scartoni; Sperduti, Alessandro; Starita, Antonina
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| 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. | |
| An Untrained Neural Model for Fast and Accurate Graph Classification | 1-gen-2023 | Navarin, N.; Pasa, L.; Gallicchio, C.; Sperduti, 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 | |
| Encoding-based memory for recurrent neural networks | 1-gen-2021 | Carta, A.; Sperduti, A.; Bacciu, D. | |
| Incremental Training of a Recurrent Neural Network Exploiting a Multi-Scale Dynamic Memory | 1-gen-2020 | Carta, Antonio; Sperduti, Alessandro; Bacciu, Davide | |
| Short-Term Memory Optimization in Recurrent Neural Networks by Autoencoder-based Initialization | 1-gen-2020 | Carta, Antonio; Sperduti, Alessandro; Bacciu, Davide | |
| Linear Memory Networks | 1-gen-2019 | Bacciu, D.; Carta, A.; Sperduti, A. | |
| Recursive Neural Networks Prediction of Polymer Glass Transition Temperature from Monomer Structure. An Application to Acrylic and Methacrylic Polymers | 1-gen-2004 | Duce, Celia; Solaro, Roberto; Tine', MARIA ROSARIA; Micheli, Alessio; Sperduti, Alessandro; Starita, Antonina | |
| A QSAR study of A1adenosine receptor antagonists by a new neural network model | 1-gen-2001 | Bianucci, ANNA MARIA PAOLA; G., Biagi; Giorgi, Irene; Livi, Oreste; Micheli, Alessio; V., Scartoni; Sperduti, Alessandro; Starita, Antonina |