Fusion of Visual and Anamnestic Data for the Classification of Skin Lesions with Deep Learning. - Simone Bonechi; Monica Bianchini; Pietro Bongini; Giorgio Ciano; Giorgia Giacomini; Riccardo Rosai; Linda Tognetti; Alberto Rossi; Paolo Andreini (ICIAP Workshops, 2019)

GADA: Generative Adversarial Data Augmentation for Image Quality Assessment. - Pietro Bongini; Riccardo Del Chiaro; Andrew D. Bagdanov; Alberto Del Bimbo (ICIAP (2), 2019)

Glycine-induced formation and druggability score prediction of protein surface pockets. - Pietro Bongini; Neri Niccolai; Monica Bianchini (J. Bioinform. Comput. Biol., 2019)

Graph Neural Networks for the Prediction of Protein-Protein Interfaces. - Niccolò Pancino; Alberto Rossi; Giorgio Ciano; Giorgia Giacomini; Simone Bonechi; Paolo Andreini; Franco Scarselli; Monica Bianchini; Pietro Bongini (ESANN, 2020)

Deep Learning Techniques for Dragonfly Action Recognition. - Martina Monaci; Niccolò Pancino; Paolo Andreini; Simone Bonechi; Pietro Bongini; Alberto Rossi; Giorgio Ciano; Giorgia Giacomini; Franco Scarselli; Monica Bianchini (ICPRAM, 2020)

Visual Question Answering for Cultural Heritage. - Pietro Bongini; Federico Becattini; Andrew D. Bagdanov; Alberto Del Bimbo (CoRR, 2020)

Molecular graph generation with Graph Neural Networks. - Pietro Bongini; Monica Bianchini; Franco Scarselli (CoRR, 2020)

A deep attention network for predicting amino acid signals in the formation of α-helices. - Anna Visibelli; Pietro Bongini; Alberto Rossi; Neri Niccolai; Monica Bianchini (J. Bioinform. Comput. Biol., 2020)

CaregiverMatcher: graph neural networks for connecting caregivers of rare disease patients. - Filippo Guerranti; Mirco Mannino; Federica Baccini; Pietro Bongini; Niccolò Pancino; Anna Visibelli; Sara Marziali (KES, 2021)

Language Based Image Quality Assessment. - Lorenzo Seidenari; Leonardo Galteri; Pietro Bongini; Marco Bertini 001; Alberto Del Bimbo (MMAsia, 2021)

Molecular generative Graph Neural Networks for Drug Discovery. - Pietro Bongini; Monica Bianchini; Franco Scarselli (Neurocomputing, 2021)

Structural bioinformatics survey on disease-inducing missense mutations. - Pietro Bongini; Simone Gardini; Monica Bianchini; Ottavia Spiga; Neri Niccolai (J. Bioinform. Comput. Biol., 2021)

A Novel Representation of Graphical Patterns for Graph Convolution Networks. - Marco Benini; Pietro Bongini; Edmondo Trentin (ANNPR, 2022)

Is GPT-3 All You Need for Visual Question Answering in Cultural Heritage? - Pietro Bongini; Federico Becattini; Alberto Del Bimbo (ECCV Workshops (1), 2022)

A Neural Network Approach for the Analysis of Reproducible Ribo-Seq Profiles. - Giorgia Giacomini; Caterina Graziani; Veronica Lachi; Pietro Bongini; Niccolò Pancino; Monica Bianchini; Davide Chiarugi; Angelo Valleriani; Paolo Andreini (Algorithms, 2022)

Towards learning trustworthily, automatically, and with guarantees on graphs: An overview. - Luca Oneto; Nicolò Navarin; Battista Biggio; Federico Errica; Alessio Micheli; Franco Scarselli; Monica Bianchini; Luca Demetrio; Pietro Bongini; Armando Tacchella; Alessandro Sperduti (Neurocomputing, 2022)

GNNkeras: A Keras-based library for Graph Neural Networks and homogeneous and heterogeneous graph processing. - Niccolò Pancino; Pietro Bongini; Franco Scarselli; Monica Bianchini (SoftwareX, 2022)

Structural Bioinformatic Survey of Protein-Small Molecule Interfaces Delineates the Role of Glycine in Surface Pocket Formation. - Pietro Bongini; Neri Niccolai; Alfonso Trezza; Guido Mangiavacchi; Annalisa Santucci; Ottavia Spiga; Monica Bianchini; Simone Gardini (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

LANBIQUE: LANguage-based Blind Image QUality Evaluation. - Leonardo Galteri; Lorenzo Seidenari; Pietro Bongini; Marco Bertini 001; Alberto Del Bimbo (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Graph Neural Networks for Drug Discovery: An Integrated Decision Support Pipeline. - Pietro Bongini (MetroXRAINE, 2023)

A Deep Learning Approach to the Prediction of Drug Side-Effects on Molecular Graphs. - Pietro Bongini; Elisa Messori; Niccolò Pancino; Monica Bianchini (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Modular Multi-Source Prediction of Drug Side-Effects With DruGNN. - Pietro Bongini; Franco Scarselli; Monica Bianchini; Giovanna Maria Dimitri; Niccolò Pancino; Pietro Lió (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

VISCOUNTH: A Large-scale Multilingual Visual Question Answering Dataset for Cultural Heritage. - Federico Becattini; Pietro Bongini; Luana Bulla; Alberto Del Bimbo; Ludovica Marinucci; Misael Mongiovì; Valentina Presutti (ACM Trans. Multim. Comput. Commun. Appl., 2023)

NeuraGED: A GNN estimation for Graph-Edit Distance. - Sara Bacconi; Filippo Costanti; Monica Bianchini; Niccolò Pancino; Pietro Bongini (KES, 2024)

MOLGMP: A Markov approach for molecular graph generation with GNNs. - Benoit Goupil; Antonin Joly; Niccolò Pancino; Pietro Bongini; Franco Scarselli; Monica Bianchini (Neurocomputing, 2025)

GrapHisto: A Robust Representation of Graph-Structured Data for Graph Convolutional Networks. - Marco Benini; Pietro Bongini; Edmondo Trentin (Neural Process. Lett., 2025)

WILD: a new in-the-Wild Image Linkage Dataset for synthetic image attribution. - Pietro Bongini; Sara Mandelli; Andrea Montibeller; Mirko Casu; Orazio Pontorno; Claudio Vittorio Ragaglia; Luca Zanchetta; Mattia Aquilina; Taiba Majid Wani; Luca Guarnera; Benedetta Tondi; Giulia Boato; et al. (CoRR, 2025)