A CNN Approach for Audio Classification in Construction Sites. - Alessandro Maccagno; Andrea Mastropietro; Umberto Mazziotta; Michele Scarpiniti; Yong-Cheol Lee; Aurelio Uncini (IIH-MSP (1), 2017)

Adaptive Positive-Unlabelled Learning via Markov Diffusion. - Paola Stolfi; Andrea Mastropietro; Giuseppe Pasculli; Paolo Tieri; Davide Vergni (CoRR, 2021)

PROCONSUL: PRObabilistic exploration of CONnectivity Significance patterns for disease modULe discovery. - Riccardo De Luca; Marco Carfora; Gonzalo Blanco; Andrea Mastropietro; Manuela Petti; Paolo Tieri (BIBM, 2022)

AI-based Data Preparation and Data Analytics in Healthcare: The Case of Diabetes. - Marianna Maranghi; Aris Anagnostopoulos; Irene Cannistraci; Ioannis Chatzigiannakis; Federico Croce; Giulia Di Teodoro; Michele Gentili; Giorgio Grani; Maurizio Lenzerini; Stefano Leonardi 001; Andrea Mastropietro; Laura Palagi; et al. (CoRR, 2022)

NIAPU: network-informed adaptive positive-unlabeled learning for disease gene identification. - Paola Stolfi; Andrea Mastropietro; Giuseppe Pasculli; Paolo Tieri; Davide Vergni (Bioinform., 2023)

XGDAG: explainable gene-disease associations via graph neural networks. - Andrea Mastropietro; Gianluca De Carlo; Aris Anagnostopoulos (Bioinform., 2023)

Learning characteristics of graph neural networks predicting protein-ligand affinities. - Andrea Mastropietro; Giuseppe Pasculli; Jürgen Bajorath (Nat. Mac. Intell., 2023)

Kolmogorov-Arnold Graph Neural Networks. - Gianluca De Carlo; Andrea Mastropietro; Aris Anagnostopoulos (CoRR, 2024)

VitaGraph: Building a Knowledge Graph for Biologically Relevant Learning Tasks. - Francesco Madeddu; Lucia Testa; Gianluca De Carlo; Michele Pieroni; Andrea Mastropietro; Aris Anagnostopoulos; Paolo Tieri; Sergio Barbarossa (CoRR, 2025)