MORANDIN, FRANCESCO Statistiche
MORANDIN, FRANCESCO
DIPARTIMENTO DI MATEMATICA
A Systematization of the Wagner Framework: Graph Theory Conjectures and Reinforcement Learning
2025-01-01 Angileri, F.; Lombardi, G.; Fois, A.; Faraone, R.; Metta, C.; Salvi, M.; Bianchi, L. A.; Fantozzi, M.; Galfre, S. G.; Pavesi, D.; Parton, M.; Morandin, F.
Analyzing RL components for Wagner’s framework via Brouwer’s conjecture
2025-01-01 Angileri, F.; Lombardi, G.; Fois, A.; Faraone, R.; Metta, C.; Salvi, M.; Bianchi, L. A.; Fantozzi, M.; Galfre, S. G.; Pavesi, D.; Parton, M.; Morandin, F.
Deep reinforcement learning for Type 1 Diabetes: Dual PPO controller for personalized insulin management
2025-01-01 Marchetti, A.; Sasso, D.; D'Antoni, F.; Morandin, F.; Parton, M.; Matarrese, M. A. G.; Merone, M.
Exploration and generalization in deep learning with SwitchPath activations
2025-01-01 Di Cecco, A.; Papini, A.; Metta, C.; Fantozzi, M.; Galfre, S. G.; Morandin, F.; Parton, M.
Improving Performance in Neural Networks by Dendrite-Activated Connection
2025-01-01 Metta, Carlo; Fantozzi, Marco; Papini, Andrea; Amato, Gianluca; Bergamaschi, Matteo; Fois, Andrea; Galfre, S. G.; Marchetti, Alessandro; Veglio, Michelangelo; Parton, M.; Morandin, F.
Increasing biases can be more efficient than increasing weights
2025-01-01 Metta, Carlo; Fantozzi, Marco; Papini, Andrea; Amato, Gianluca; Bergamaschi, Marco; Fois, Andrea; Galfre, S. G.; Marchetti, Alessandro; Veglio, Michelangelo; Parton, Maurizio; Morandin, Francesco
SwitchPath: Enhancing Exploration in Neural Networks Learning Dynamics
2025-01-01 Di Cecco, Antonio; Papini, Andrea; Metta, Carlo; Fantozzi, Marco; Galfre, Silvia; Morandin, Francesco; Parton, Maurizio
GloNets: Globally Connected Neural Networks
2024-01-01 Di Cecco, A.; Metta, C.; Fantozzi, M.; Morandin, F.; Parton, M.
Increasing biases can be more efficient than increasing weights
2024-01-01 Metta, C.; Fantozzi, M.; Papini, A.; Amato, G.; Bergamaschi, M.; Galfre, S. G.; Marchetti, A.; Veglio, M.; Parton, M.; Morandin, F.
Identification of hidden associations among eukaryotic genes through statistical analysis of coevolutionary transitions
2023-01-01 Dembech, E.; Malatesta, M.; De Rito, C.; Mori, G.; Cavazzini, D.; Secchi, A.; Morandin, F.; Percudani, R.
Score vs. Winrate in Score-Based Games: Which Reward for Reinforcement Learning?
2022-01-01 Pasqualini, L.; Parton, M.; Morandin, F.; Amato, G.; Gini, R.; Metta, C.; Fantozzi, M.; Marchetti, A.
COTAN: ScRNA-seq data analysis based on gene co-expression
2021-01-01 Galfre, S. G.; Morandin, F.; Pietrosanto, M.; Cremisi, F.; Helmer-Citterich, M.
Linear Stochastic Dyadic Model
2021-01-01 Bianchi, L. A.; Morandin, F.
SAI: A sensible artificial intelligence that plays with handicap and targets high scores in 9
2020-01-01 Morandin, F.; Amato, G.; Fantozzi, M.; Gini, R.; Metta, C.; Parton, M.
SAI a Sensible Artificial Intelligence that plays Go
2019-01-01 Morandin, F.; Amato, G.; Gini, R.; Metta, C.; Parton, M.; Pascutto, G. -C.
Recurrence of prostate cancer after HIFU. Proposal of a novel predictive index
2018-01-01 Maestroni, U.; Morandin, F.; Ferretti, S.; Dinale, F.; Ziglioli, F.
Structure Function and Fractal Dissipation for an Intermittent Inviscid Dyadic Model
2017-01-01 Bianchi, L. A.; Morandin, F.
Global regularity for a logarithmically supercritical hyperdissipative dyadic equation
2014-01-01 Barbato, D.; Morandin, F.; Romito, Marco
Global regularity for a slightly supercritical hyperdissipative Navier-Stokes system
2014-01-01 Barbato, D.; Morandin, F.; Romito, Marco
Positive and non-positive solutions for an inviscid dyadic model: Well-posedness and regularity
2013-01-01 Barbato, D.; Morandin, F.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Systematization of the Wagner Framework: Graph Theory Conjectures and Reinforcement Learning | 1-gen-2025 | Angileri, F.; Lombardi, G.; Fois, A.; Faraone, R.; Metta, C.; Salvi, M.; Bianchi, L. A.; Fantozzi, M.; Galfre, S. G.; Pavesi, D.; Parton, M.; Morandin, F. | |
| Analyzing RL components for Wagner’s framework via Brouwer’s conjecture | 1-gen-2025 | Angileri, F.; Lombardi, G.; Fois, A.; Faraone, R.; Metta, C.; Salvi, M.; Bianchi, L. A.; Fantozzi, M.; Galfre, S. G.; Pavesi, D.; Parton, M.; Morandin, F. | |
| Deep reinforcement learning for Type 1 Diabetes: Dual PPO controller for personalized insulin management | 1-gen-2025 | Marchetti, A.; Sasso, D.; D'Antoni, F.; Morandin, F.; Parton, M.; Matarrese, M. A. G.; Merone, M. | |
| Exploration and generalization in deep learning with SwitchPath activations | 1-gen-2025 | Di Cecco, A.; Papini, A.; Metta, C.; Fantozzi, M.; Galfre, S. G.; Morandin, F.; Parton, M. | |
| Improving Performance in Neural Networks by Dendrite-Activated Connection | 1-gen-2025 | Metta, Carlo; Fantozzi, Marco; Papini, Andrea; Amato, Gianluca; Bergamaschi, Matteo; Fois, Andrea; Galfre, S. G.; Marchetti, Alessandro; Veglio, Michelangelo; Parton, M.; Morandin, F. | |
| Increasing biases can be more efficient than increasing weights | 1-gen-2025 | Metta, Carlo; Fantozzi, Marco; Papini, Andrea; Amato, Gianluca; Bergamaschi, Marco; Fois, Andrea; Galfre, S. G.; Marchetti, Alessandro; Veglio, Michelangelo; Parton, Maurizio; Morandin, Francesco | |
| SwitchPath: Enhancing Exploration in Neural Networks Learning Dynamics | 1-gen-2025 | Di Cecco, Antonio; Papini, Andrea; Metta, Carlo; Fantozzi, Marco; Galfre, Silvia; Morandin, Francesco; Parton, Maurizio | |
| GloNets: Globally Connected Neural Networks | 1-gen-2024 | Di Cecco, A.; Metta, C.; Fantozzi, M.; Morandin, F.; Parton, M. | |
| Increasing biases can be more efficient than increasing weights | 1-gen-2024 | Metta, C.; Fantozzi, M.; Papini, A.; Amato, G.; Bergamaschi, M.; Galfre, S. G.; Marchetti, A.; Veglio, M.; Parton, M.; Morandin, F. | |
| Identification of hidden associations among eukaryotic genes through statistical analysis of coevolutionary transitions | 1-gen-2023 | Dembech, E.; Malatesta, M.; De Rito, C.; Mori, G.; Cavazzini, D.; Secchi, A.; Morandin, F.; Percudani, R. | |
| Score vs. Winrate in Score-Based Games: Which Reward for Reinforcement Learning? | 1-gen-2022 | Pasqualini, L.; Parton, M.; Morandin, F.; Amato, G.; Gini, R.; Metta, C.; Fantozzi, M.; Marchetti, A. | |
| COTAN: ScRNA-seq data analysis based on gene co-expression | 1-gen-2021 | Galfre, S. G.; Morandin, F.; Pietrosanto, M.; Cremisi, F.; Helmer-Citterich, M. | |
| Linear Stochastic Dyadic Model | 1-gen-2021 | Bianchi, L. A.; Morandin, F. | |
| SAI: A sensible artificial intelligence that plays with handicap and targets high scores in 9 | 1-gen-2020 | Morandin, F.; Amato, G.; Fantozzi, M.; Gini, R.; Metta, C.; Parton, M. | |
| SAI a Sensible Artificial Intelligence that plays Go | 1-gen-2019 | Morandin, F.; Amato, G.; Gini, R.; Metta, C.; Parton, M.; Pascutto, G. -C. | |
| Recurrence of prostate cancer after HIFU. Proposal of a novel predictive index | 1-gen-2018 | Maestroni, U.; Morandin, F.; Ferretti, S.; Dinale, F.; Ziglioli, F. | |
| Structure Function and Fractal Dissipation for an Intermittent Inviscid Dyadic Model | 1-gen-2017 | Bianchi, L. A.; Morandin, F. | |
| Global regularity for a logarithmically supercritical hyperdissipative dyadic equation | 1-gen-2014 | Barbato, D.; Morandin, F.; Romito, Marco | |
| Global regularity for a slightly supercritical hyperdissipative Navier-Stokes system | 1-gen-2014 | Barbato, D.; Morandin, F.; Romito, Marco | |
| Positive and non-positive solutions for an inviscid dyadic model: Well-posedness and regularity | 1-gen-2013 | Barbato, D.; Morandin, F. |