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Journal Articles
- 2023
[j11]Pietro Bongini
, Franco Scarselli, Monica Bianchini, Giovanna Maria Dimitri, Niccolò Pancino, Pietro Lió:
Modular Multi-Source Prediction of Drug Side-Effects With DruGNN. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 1211-1220 (2023)- [j10]Pietro Bongini, Elisa Messori, Niccolò Pancino, Monica Bianchini:
A Deep Learning Approach to the Prediction of Drug Side-Effects on Molecular Graphs. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3681-3690 (2023) - 2022
- [j9]Giorgia Giacomini, Caterina Graziani, Veronica Lachi, Pietro Bongini, Niccolò Pancino, Monica Bianchini, Davide Chiarugi, Angelo Valleriani, Paolo Andreini:
A Neural Network Approach for the Analysis of Reproducible Ribo-Seq Profiles. Algorithms 15(8): 274 (2022) - [j8]Luca Oneto, Nicolò Navarin, Battista Biggio, Federico Errica, Alessio Micheli, Franco Scarselli, Monica Bianchini, Luca Demetrio, Pietro Bongini, Armando Tacchella, Alessandro Sperduti:
Towards learning trustworthily, automatically, and with guarantees on graphs: An overview. Neurocomputing 493: 217-243 (2022) - [j7]Niccolò Pancino, Pietro Bongini, Franco Scarselli, Monica Bianchini:
GNNkeras: A Keras-based library for Graph Neural Networks and homogeneous and heterogeneous graph processing. SoftwareX 18: 101061 (2022) - [j6]Pietro Bongini, Neri Niccolai, Alfonso Trezza, Guido Mangiavacchi, Annalisa Santucci, Ottavia Spiga, Monica Bianchini, Simone Gardini:
Structural Bioinformatic Survey of Protein-Small Molecule Interfaces Delineates the Role of Glycine in Surface Pocket Formation. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1881-1886 (2022) - [j5]Leonardo Galteri, Lorenzo Seidenari, Pietro Bongini, Marco Bertini, Alberto Del Bimbo:
LANBIQUE: LANguage-based Blind Image QUality Evaluation. ACM Trans. Multim. Comput. Commun. Appl. 18(2s): 116:1-116:19 (2022) - 2021
- [j4]Pietro Bongini, Monica Bianchini, Franco Scarselli:
Molecular generative Graph Neural Networks for Drug Discovery. Neurocomputing 450: 242-252 (2021) - [j3]Pietro Bongini, Simone Gardini, Monica Bianchini, Ottavia Spiga, Neri Niccolai:
Structural bioinformatics survey on disease-inducing missense mutations. J. Bioinform. Comput. Biol. 19(3): 2150008:1-2150008:15 (2021) - 2020
- [j2]Anna Visibelli, Pietro Bongini, Alberto Rossi, Neri Niccolai, Monica Bianchini:
A deep attention network for predicting amino acid signals in the formation of α-helices. J. Bioinform. Comput. Biol. 18(5): 2050028:1-2050028:17 (2020) - 2019
- [j1]Pietro Bongini, Neri Niccolai, Monica Bianchini:
Glycine-induced formation and druggability score prediction of protein surface pockets. J. Bioinform. Comput. Biol. 17(5): 1950026:1-1950026:18 (2019)
Conference and Workshop Papers
- 2023
- [c9]Pietro Bongini:
Graph Neural Networks for Drug Discovery: An Integrated Decision Support Pipeline. MetroXRAINE 2023: 218-223 - 2022
- [c8]Marco Benini, Pietro Bongini, Edmondo Trentin:
A Novel Representation of Graphical Patterns for Graph Convolution Networks. ANNPR 2022: 16-27 - [c7]Pietro Bongini, Federico Becattini, Alberto Del Bimbo:
Is GPT-3 All You Need for Visual Question Answering in Cultural Heritage? ECCV Workshops (1) 2022: 268-281 - 2021
- [c6]Filippo Guerranti, Mirco Mannino, Federica Baccini, Pietro Bongini, Niccolò Pancino, Anna Visibelli, Sara Marziali:
CaregiverMatcher: graph neural networks for connecting caregivers of rare disease patients. KES 2021: 1696-1704 - [c5]Lorenzo Seidenari, Leonardo Galteri, Pietro Bongini, Marco Bertini, Alberto Del Bimbo:
Language Based Image Quality Assessment. MMAsia 2021: 25:1-25:7 - 2020
- [c4]Niccolò Pancino, Alberto Rossi, Giorgio Ciano, Giorgia Giacomini, Simone Bonechi, Paolo Andreini, Franco Scarselli, Monica Bianchini, Pietro Bongini:
Graph Neural Networks for the Prediction of Protein-Protein Interfaces. ESANN 2020: 127-132 - [c3]Martina Monaci, Niccolò Pancino, Paolo Andreini, Simone Bonechi, Pietro Bongini, Alberto Rossi, Giorgio Ciano, Giorgia Giacomini, Franco Scarselli, Monica Bianchini:
Deep Learning Techniques for Dragonfly Action Recognition. ICPRAM 2020: 562-569 - 2019
- [c2]Simone Bonechi, Monica Bianchini, Pietro Bongini, Giorgio Ciano, Giorgia Giacomini, Riccardo Rosai, Linda Tognetti, Alberto Rossi, Paolo Andreini:
Fusion of Visual and Anamnestic Data for the Classification of Skin Lesions with Deep Learning. ICIAP Workshops 2019: 211-219 - [c1]Pietro Bongini, Riccardo Del Chiaro, Andrew D. Bagdanov, Alberto Del Bimbo:
GADA: Generative Adversarial Data Augmentation for Image Quality Assessment. ICIAP (2) 2019: 214-224
Informal and Other Publications
- 2022
- [i5]Pietro Bongini, Franco Scarselli, Monica Bianchini, Giovanna Maria Dimitri, Niccolò Pancino, Pietro Liò:
Modular multi-source prediction of drug side-effects with DruGNN. CoRR abs/2202.08147 (2022) - [i4]Pietro Bongini, Federico Becattini, Alberto Del Bimbo:
Is GPT-3 all you need for Visual Question Answering in Cultural Heritage? CoRR abs/2207.12101 (2022) - [i3]Pietro Bongini, Elisa Messori, Niccolò Pancino, Monica Bianchini:
A Deep Learning Approach to the Prediction of Drug Side-Effects on Molecular Graphs. CoRR abs/2211.16871 (2022) - 2020
- [i2]Pietro Bongini, Federico Becattini, Andrew D. Bagdanov, Alberto Del Bimbo:
Visual Question Answering for Cultural Heritage. CoRR abs/2003.09853 (2020) - [i1]Pietro Bongini, Monica Bianchini, Franco Scarselli:
Molecular graph generation with Graph Neural Networks. CoRR abs/2012.07397 (2020)
Coauthor Index
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