Pietro Bongini

34 papers B 4C 1Journal 21Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Deepfake Detection, Attribution, and Authentication: Insights from the FF4ALL Project. ITASEC/SERICS Irene Amerini, Mauro Barni, Sebastiano Battiato, Paolo Bestagini, Giulia Boato, Pietro Bongini, Vittoria Bruni, Roberto Casula, Lorenzo Cirillo, Roberto Caldelli, Giuseppe Daidone, Francesco G. B. De Natale, Rocco De Nicola, Luca Guarnera, Simone Maurizio La Cava, Sara Mandelli, Gian Luca Marcialis, Marco Micheletto, Andrea Montibeller, Viola Negroni, Giulia Orrù, Pericle Perazzo, Giovanni Puglisi, Davide Salvi, Benedetta Tondi, Stefano Tubaro, Massimo Villari, Domenico Vitulano
2025	J	`jnl`	GrapHisto: A Robust Representation of Graph-Structured Data for Graph Convolutional Networks. Neural Process. Lett. Marco Benini, Pietro Bongini, Edmondo Trentin
2025	J	`jnl`	MOLGMP: A Markov approach for molecular graph generation with GNNs. Neurocomputing Benoit Goupil, Antonin Joly, Niccolò Pancino, Pietro Bongini, Franco Scarselli, Monica Bianchini
2025	—	`conf`	Training-free Source Attribution of AI-generated Images via Resynthesis. WIFS Pietro Bongini, Valentina Molinari, Andrea Costanzo, Benedetta Tondi, Mauro Barni
2025	J	`jnl`	Training-free Source Attribution of AI-generated Images via Resynthesis. CoRR Pietro Bongini, Valentina Molinari, Andrea Costanzo, Benedetta Tondi, Mauro Barni
2025	B	`conf`	WILD: a new in-the-Wild Image Linkage Dataset for synthetic image attribution. IJCNN 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, Paolo Bestagini, Irene Amerini, Francesco G. B. De Natale, Sebastiano Battiato, Mauro Barni
2025	J	`jnl`	WILD: a new in-the-Wild Image Linkage Dataset for synthetic image attribution. CoRR 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, Paolo Bestagini, Irene Amerini, Francesco G. B. De Natale, Sebastiano Battiato, Mauro Barni
2024	B	`conf`	NeuraGED: A GNN estimation for Graph-Edit Distance. KES Sara Bacconi, Filippo Costanti, Monica Bianchini, Niccolò Pancino, Pietro Bongini
2023	J	`jnl`	A Deep Learning Approach to the Prediction of Drug Side-Effects on Molecular Graphs. IEEE ACM Trans. Comput. Biol. Bioinform. Pietro Bongini, Elisa Messori, Niccolò Pancino, Monica Bianchini
2023	—	`conf`	Graph Neural Networks for Drug Discovery: An Integrated Decision Support Pipeline. MetroXRAINE Pietro Bongini
2023	J	`jnl`	Modular Multi-Source Prediction of Drug Side-Effects With DruGNN. IEEE ACM Trans. Comput. Biol. Bioinform. Pietro Bongini, Franco Scarselli, Monica Bianchini, Giovanna Maria Dimitri, Niccolò Pancino, Pietro Lió
2023	J	`jnl`	VISCOUNTH: A Large-scale Multilingual Visual Question Answering Dataset for Cultural Heritage. ACM Trans. Multim. Comput. Commun. Appl. Federico Becattini, Pietro Bongini, Luana Bulla, Alberto Del Bimbo, Ludovica Marinucci, Misael Mongiovì, Valentina Presutti
2022	J	`jnl`	A Deep Learning Approach to the Prediction of Drug Side-Effects on Molecular Graphs. CoRR Pietro Bongini, Elisa Messori, Niccolò Pancino, Monica Bianchini
2022	J	`jnl`	A Neural Network Approach for the Analysis of Reproducible Ribo-Seq Profiles. Algorithms Giorgia Giacomini, Caterina Graziani, Veronica Lachi, Pietro Bongini, Niccolò Pancino, Monica Bianchini, Davide Chiarugi, Angelo Valleriani, Paolo Andreini
2022	—	`conf`	A Novel Representation of Graphical Patterns for Graph Convolution Networks. ANNPR Marco Benini, Pietro Bongini, Edmondo Trentin
2022	J	`jnl`	GNNkeras: A Keras-based library for Graph Neural Networks and homogeneous and heterogeneous graph processing. SoftwareX Niccolò Pancino, Pietro Bongini, Franco Scarselli, Monica Bianchini
2022	—	`conf`	Is GPT-3 All You Need for Visual Question Answering in Cultural Heritage? ECCV Workshops (1) Pietro Bongini, Federico Becattini, Alberto Del Bimbo
2022	J	`jnl`	Is GPT-3 all you need for Visual Question Answering in Cultural Heritage? CoRR Pietro Bongini, Federico Becattini, Alberto Del Bimbo
2022	J	`jnl`	LANBIQUE: LANguage-based Blind Image QUality Evaluation. ACM Trans. Multim. Comput. Commun. Appl. Leonardo Galteri, Lorenzo Seidenari, Pietro Bongini, Marco Bertini, Alberto Del Bimbo
2022	J	`jnl`	Modular multi-source prediction of drug side-effects with DruGNN. CoRR Pietro Bongini, Franco Scarselli, Monica Bianchini, Giovanna Maria Dimitri, Niccolò Pancino, Pietro Liò
2022	J	`jnl`	Structural Bioinformatic Survey of Protein-Small Molecule Interfaces Delineates the Role of Glycine in Surface Pocket Formation. IEEE ACM Trans. Comput. Biol. Bioinform. Pietro Bongini, Neri Niccolai, Alfonso Trezza, Guido Mangiavacchi, Annalisa Santucci, Ottavia Spiga, Monica Bianchini, Simone Gardini
2022	J	`jnl`	Towards learning trustworthily, automatically, and with guarantees on graphs: An overview. Neurocomputing Luca Oneto, Nicolò Navarin, Battista Biggio, Federico Errica, Alessio Micheli, Franco Scarselli, Monica Bianchini, Luca Demetrio, Pietro Bongini, Armando Tacchella, Alessandro Sperduti
2021	B	`conf`	CaregiverMatcher: graph neural networks for connecting caregivers of rare disease patients. KES Filippo Guerranti, Mirco Mannino, Federica Baccini, Pietro Bongini, Niccolò Pancino, Anna Visibelli, Sara Marziali
2021	—	`conf`	Language Based Image Quality Assessment. MMAsia Lorenzo Seidenari, Leonardo Galteri, Pietro Bongini, Marco Bertini, Alberto Del Bimbo
2021	J	`jnl`	Molecular generative Graph Neural Networks for Drug Discovery. Neurocomputing Pietro Bongini, Monica Bianchini, Franco Scarselli
2021	J	`jnl`	Structural bioinformatics survey on disease-inducing missense mutations. J. Bioinform. Comput. Biol. Pietro Bongini, Simone Gardini, Monica Bianchini, Ottavia Spiga, Neri Niccolai
2020	J	`jnl`	A deep attention network for predicting amino acid signals in the formation of α-helices. J. Bioinform. Comput. Biol. Anna Visibelli, Pietro Bongini, Alberto Rossi, Neri Niccolai, Monica Bianchini
2020	C	`conf`	Deep Learning Techniques for Dragonfly Action Recognition. ICPRAM Martina Monaci, Niccolò Pancino, Paolo Andreini, Simone Bonechi, Pietro Bongini, Alberto Rossi, Giorgio Ciano, Giorgia Giacomini, Franco Scarselli, Monica Bianchini
2020	B	`conf`	Graph Neural Networks for the Prediction of Protein-Protein Interfaces. ESANN Niccolò Pancino, Alberto Rossi, Giorgio Ciano, Giorgia Giacomini, Simone Bonechi, Paolo Andreini, Franco Scarselli, Monica Bianchini, Pietro Bongini
2020	J	`jnl`	Molecular graph generation with Graph Neural Networks. CoRR Pietro Bongini, Monica Bianchini, Franco Scarselli
2020	J	`jnl`	Visual Question Answering for Cultural Heritage. CoRR Pietro Bongini, Federico Becattini, Andrew D. Bagdanov, Alberto Del Bimbo
2019	—	`conf`	Fusion of Visual and Anamnestic Data for the Classification of Skin Lesions with Deep Learning. ICIAP Workshops Simone Bonechi, Monica Bianchini, Pietro Bongini, Giorgio Ciano, Giorgia Giacomini, Riccardo Rosai, Linda Tognetti, Alberto Rossi, Paolo Andreini
2019	—	`conf`	GADA: Generative Adversarial Data Augmentation for Image Quality Assessment. ICIAP (2) Pietro Bongini, Riccardo Del Chiaro, Andrew D. Bagdanov, Alberto Del Bimbo
2019	J	`jnl`	Glycine-induced formation and druggability score prediction of protein surface pockets. J. Bioinform. Comput. Biol. Pietro Bongini, Neri Niccolai, Monica Bianchini