Enhancing Human Resources through Data Science: a Case in Recruiting. - Paolo Frazzetto; Muhammad Uzair-Ul-Haq; Alessandro Sperduti (itaDATA, 2023)

Topology preserving maps as aggregations for Graph Convolutional Neural Networks. - Paolo Frazzetto; Luca Pasa; Nicolò Navarin; Alessandro Sperduti (SAC, 2023)

Physics-Informed Graph Neural Cellular Automata: an Application to Compartmental Modelling. - Nicolò Navarin; Paolo Frazzetto; Luca Pasa; Pietro Verzelli; Filippo Visentin; Alessandro Sperduti; Cesare Alippi (IJCNN, 2024)

Beyond the Additive Nodes' Convolutions: a Study on High-Order Multiplicative Integration. - Paolo Frazzetto; Luca Pasa; Nicolò Navarin; Alessandro Sperduti (SAC, 2024)

Improving Soft Skill Extraction via Data Augmentation and Embedding Manipulation. - Muhammad Uzair-Ul-Haq; Paolo Frazzetto; Alessandro Sperduti; Giovanni Da San Martino (SAC, 2024)

Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks. - Maximilian Muschalik; Fabian Fumagalli; Paolo Frazzetto; Janine Strotherm; Luca Hermes; Alessandro Sperduti; Eyke Hüllermeier; Barbara Hammer (ICLR, 2025)

Logic Explanation of AI Classifiers by Categorical Explaining Functors. - Stefano Fioravanti; Francesco Giannini; Paolo Frazzetto; Fabio Zanasi; Pietro Barbiero (CoRR, 2025)

From Text to Talent: A Pipeline for Extracting Insights from Candidate Profiles. - Paolo Frazzetto; Muhammad Uzair-Ul-Haq; Flavia Fabris; Alessandro Sperduti (CoRR, 2025)