Niccolò Pancino

According to our database, Niccolò Pancino authored at least 13 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Comparative Study of Adversarial Training and Randomized Smoothing for Robust AI-Generated Image Attribution.

Kai Zeng, Niccolò Pancino, Nasrin Malekzadeh Goradel, Mauro Barni, Benedetta Tondi

Proceedings of the 2026 ACM Workshop on Information Hiding and Multimedia Security, 2026

2025

JMA: A General Algorithm to Craft Nearly Optimal Targeted Adversarial Examples.

Benedetta Tondi, Wei Guo, Niccolò Pancino, Mauro Barni

IEEE Trans. Inf. Forensics Secur., 2025

MOLGMP: A Markov approach for molecular graph generation with GNNs.

Benoit Goupil, Antonin Joly, Niccolò Pancino, Pietro Bongini, Franco Scarselli, Monica Bianchini

Neurocomputing, 2025

2024

Facial Segmentation in Deepfake Classification: a Transfer Learning Approach.

Marco Tanfoni, Elia Giuseppe Ceroni, Niccolò Pancino, Monica Bianchini, Marco Maggini

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 28th International Conference KES-2024, 2024

NeuraGED: A GNN estimation for Graph-Edit Distance.

Sara Bacconi, Filippo Costanti, Monica Bianchini, Niccolò Pancino, Pietro Bongini

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 28th International Conference KES-2024, 2024

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

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

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

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

A Deep Learning approach for oocytes segmentation and analysis.

Paolo Andreini, Niccolò Pancino, Filippo Costanti, Gabriele Eusepi, Barbara Toniella Corradini

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2021

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

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

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

Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020

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

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020