PANCINO, NICCOLO'
PANCINO, NICCOLO'
Dipartimento di Ingegneria dell'Informazione e Scienze Matematiche
A Deep Learning Approach to the Prediction of Drug Side-Effects on Molecular Graphs
2023-01-01 Bongini, Pietro; Messori, Elisa; Pancino, Niccolo; Bianchini, Monica
A Mixed Statistical and Machine Learning Approach for the Analysis of Multimodal Trail Making Test Data
2021-01-01 Pancino, Niccolò; Graziani, Caterina; Lachi, Veronica; Sampoli, Maria Lucia; Ștefǎnescu, Emanuel; Bianchini, Monica; Dimitri, Giovanna Maria
A Neural Network Approach for the Analysis of Reproducible Ribo–Seq Profiles
2022-01-01 Giacomini, Giorgia; Graziani, Caterina; Lachi, Veronica; Bongini, Pietro; Pancino, Niccolò; Bianchini, Monica; Chiarugi, Davide; Valleriani, Angelo; Andreini, Paolo
BioGNN: How Graph Neural Networks Can Solve Biological Problems
2023-01-01 Bongini, P.; Pancino, N.; Scarselli, F.; Bianchini, M.
Blinking Rate Comparison Between Patients with Chronic Pain and Parkinson's Disease
2022-01-01 Stefanescu, E.; Pancino, N.; Graziani, C.; Lachi, V.; Sampoli, M.; Dimitri, G.; Bargagli, A.; Zanca, D.; Bianchini, M.; Mureșanu, D.; Rufa, A.
CaregiverMatcher: graph neural networks for connecting caregivers of rare disease patients
2021-01-01 Guerranti, F.; Mannino, M.; Baccini, F.; Bongini, P.; Pancino, N.; Visibelli, A.; Marziali, S.
Composite Graph Neural Networks for Molecular Property Prediction
2024-01-01 Bongini, Pietro; Pancino, Niccolò; Bendjeddou, Asma; Scarselli, Franco; Maggini, Marco; Bianchini, Monica
Deep learning techniques for dragonfly action recognition
2020-01-01 Monaci, M.; Pancino, N.; Andreini, P.; Bonechi, S.; Bongini, P.; Rossi, A.; Ciano, G.; Giacomini, G.; Scarselli, F.; Bianchini, M.
Drug Side Effect Prediction with Deep Learning Molecular Embedding in a Graph-of-Graphs Domain
2022-01-01 Pancino, Niccolo; Perron, Yohann; Bongini, Pietro; Scarselli, Franco
Generated or Not Generated (GNG): The Importance of Background in the Detection of Fake Images
2024-01-01 Tanfoni, Marco; Ceroni, Elia Giuseppe; Marziali, Sara; Pancino, Niccolò; Maggini, Marco; Bianchini, Monica
GNNkeras: A Keras-based library for Graph Neural Networks and homogeneous and heterogeneous graph processing
2022-01-01 Pancino, Niccolo'; Bongini, Pietro; Scarselli, Franco; Bianchini, Monica
Graph Neural Networks for the Prediction of Protein–Protein Interfaces
2020-01-01 Pancino, Niccolò; Rossi, Alberto; Ciano, Giorgio; Giacomini, Giorgia; Bonechi, Simone; Andreini, Paolo; Scarselli, Franco; Bianchini, Monica; Bongini, Pietro
Modular multi-source prediction of drug side-effects with DruGNN
2022-01-01 Bongini, Pietro; Scarselli, Franco; Bianchini, Monica; Dimitri, Giovanna Maria; Pancino, Niccoló; Lio, Pietro
Protein–protein interfaces: A Graph Neural Network approach
2024-01-01 Pancino, Niccolò; Gallegati, Caterina; Romagnoli, Fiamma; Bongini, Pietro; Bianchini, Monica
| Titolo | Data di pubblicazione | Autore(i) | File | Abstract |
|---|---|---|---|---|
| A Deep Learning Approach to the Prediction of Drug Side-Effects on Molecular Graphs | 1-gen-2023 | Bongini, Pietro; Messori, Elisa; Pancino, Niccolo; Bianchini, Monica | - | |
| A Mixed Statistical and Machine Learning Approach for the Analysis of Multimodal Trail Making Test Data | 1-gen-2021 | Pancino, Niccolò; Graziani, Caterina; Lachi, Veronica; Sampoli, Maria Lucia; Ștefǎnescu, Emanuel; Bianchini, Monica; Dimitri, Giovanna Maria | - | |
| A Neural Network Approach for the Analysis of Reproducible Ribo–Seq Profiles | 1-gen-2022 | Giacomini, Giorgia; Graziani, Caterina; Lachi, Veronica; Bongini, Pietro; Pancino, Niccolò; Bianchini, Monica; Chiarugi, Davide; Valleriani, Angelo; Andreini, Paolo | - | |
| BioGNN: How Graph Neural Networks Can Solve Biological Problems | 1-gen-2023 | Bongini, P.; Pancino, N.; Scarselli, F.; Bianchini, M. | - | |
| Blinking Rate Comparison Between Patients with Chronic Pain and Parkinson's Disease | 1-gen-2022 | Stefanescu, E.; Pancino, N.; Graziani, C.; Lachi, V.; Sampoli, M.; Dimitri, G.; Bargagli, A.; Zanca, D.; Bianchini, M.; Mureșanu, D.; Rufa, A. | - | |
| CaregiverMatcher: graph neural networks for connecting caregivers of rare disease patients | 1-gen-2021 | Guerranti, F.; Mannino, M.; Baccini, F.; Bongini, P.; Pancino, N.; Visibelli, A.; Marziali, S. | - | |
| Composite Graph Neural Networks for Molecular Property Prediction | 1-gen-2024 | Bongini, Pietro; Pancino, Niccolò; Bendjeddou, Asma; Scarselli, Franco; Maggini, Marco; Bianchini, Monica | - | |
| Deep learning techniques for dragonfly action recognition | 1-gen-2020 | Monaci, M.; Pancino, N.; Andreini, P.; Bonechi, S.; Bongini, P.; Rossi, A.; Ciano, G.; Giacomini, G.; Scarselli, F.; Bianchini, M. | - | |
| Drug Side Effect Prediction with Deep Learning Molecular Embedding in a Graph-of-Graphs Domain | 1-gen-2022 | Pancino, Niccolo; Perron, Yohann; Bongini, Pietro; Scarselli, Franco | - | |
| Generated or Not Generated (GNG): The Importance of Background in the Detection of Fake Images | 1-gen-2024 | Tanfoni, Marco; Ceroni, Elia Giuseppe; Marziali, Sara; Pancino, Niccolò; Maggini, Marco; Bianchini, Monica | - | |
| GNNkeras: A Keras-based library for Graph Neural Networks and homogeneous and heterogeneous graph processing | 1-gen-2022 | Pancino, Niccolo'; Bongini, Pietro; Scarselli, Franco; Bianchini, Monica | - | |
| Graph Neural Networks for the Prediction of Protein–Protein Interfaces | 1-gen-2020 | Pancino, Niccolò; Rossi, Alberto; Ciano, Giorgio; Giacomini, Giorgia; Bonechi, Simone; Andreini, Paolo; Scarselli, Franco; Bianchini, Monica; Bongini, Pietro | - | |
| Modular multi-source prediction of drug side-effects with DruGNN | 1-gen-2022 | Bongini, Pietro; Scarselli, Franco; Bianchini, Monica; Dimitri, Giovanna Maria; Pancino, Niccoló; Lio, Pietro | - | |
| Protein–protein interfaces: A Graph Neural Network approach | 1-gen-2024 | Pancino, Niccolò; Gallegati, Caterina; Romagnoli, Fiamma; Bongini, Pietro; Bianchini, Monica | - |