Andrea Mastropietro

According to our database, Andrea Mastropietro authored at least 10 papers between 2017 and 2025.

Collaborative distances:

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

2025

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, May, 2025

Toward Explainable Biomedical Deep Learning.

Andrea Mastropietro

Proceedings of the 4th Italian Conference on Big Data and Data Science (ITADATA 2025), 2025

2024

Kolmogorov-Arnold Graph Neural Networks.

Gianluca De Carlo, Andrea Mastropietro, Aris Anagnostopoulos

CoRR, 2024

2023

Learning characteristics of graph neural networks predicting protein-ligand affinities.

Andrea Mastropietro, Giuseppe Pasculli, Jürgen Bajorath

Nat. Mac. Intell., December, 2023

XGDAG: explainable gene-disease associations via graph neural networks.

Andrea Mastropietro, Gianluca De Carlo, Aris Anagnostopoulos

Bioinform., August, 2023

NIAPU: network-informed adaptive positive-unlabeled learning for disease gene identification.

Paola Stolfi, Andrea Mastropietro, Giuseppe Pasculli, Paolo Tieri, Davide Vergni

Bioinform., February, 2023

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, Andrea Mastropietro, Laura Palagi, Massimiliano Pappa, Riccardo Rosati, Riccardo Valentini, Paola Velardi

CoRR, 2022

PROCONSUL: PRObabilistic exploration of CONnectivity Significance patterns for disease modULe discovery.

Riccardo De Luca, Marco Carfora, Gonzalo Blanco, Andrea Mastropietro, Manuela Petti, Paolo Tieri

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Adaptive Positive-Unlabelled Learning via Markov Diffusion.

Paola Stolfi, Andrea Mastropietro, Giuseppe Pasculli, Paolo Tieri, Davide Vergni

CoRR, 2021

2017

A CNN Approach for Audio Classification in Construction Sites.

Alessandro Maccagno, Andrea Mastropietro, Umberto Mazziotta, Michele Scarpiniti, Yong-Cheol Lee, Aurelio Uncini

Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017