Pubblicazioni di Mastropietro Andrea
2024
Mastropietro Andrea, Bajorath Jürgen
Protocol to explain support vector machine predictions via exact Shapley value computation. STAR PROTOCOLS 2024: -
2023
Mastropietro Andrea, Feldmann Christian, Bajorath Jürgen
Calculation of exact Shapley values for explaining support vector machine models using the radial basis function kernel. SCIENTIFIC REPORTS 2023: 19561-
Mastropietro Andrea, Pasculli Giuseppe, Bajorath Jürgen
Learning characteristics of graph neural networks predicting protein–ligand affinities. NATURE MACHINE INTELLIGENCE 2023: -
Stolfi Paola, Mastropietro Andrea, Pasculli Giuseppe, Vergni Davide, Tieri Paolo
Mastropietro Andrea, DE CARLO Gianluca, Anagnostopoulos Aris
XGDAG: explainable gene–disease associations via graph neural networks. BIOINFORMATICS 2023: -
2022
Mastropietro Andrea, Pasculli Giuseppe, Feldmann Christian, Rodríguezpérez Raquel, Bajorath Jürgen
Shahini Endrit, Pasculli Giuseppe, Mastropietro Andrea, Stolfi Paola, Tieri Paolo, Vergni Davide, Cozzolongo Raffaele, Pesce Francesco, Giannelli Gianluigi
Shahini E., Pasculli G., Mastropietro A., Stolfi P., Tieri P., Vergni D., Cozzolongo R., Giannelli G., Pesce F.
NETWORK PROXIMITY-BASED DRUG REPURPOSING STRATEGY FOR PRIMARY BILIARY CHOLANGITIS. DIGESTIVE AND LIVER DISEASE 2022: S106-
Luca Riccardo De, Carfora Marco, Blanco Gonzalo, Mastropietro Andrea, Petti Manuela, Tieri Paolo
PROCONSUL: PRObabilistic exploration of CONnectivity Significance patterns for disease modULe discovery. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2022: 1941-1947
Mastropietro Andrea, Pasculli Giuseppe, Bajorath Jürgen
Protocol to explain graph neural network predictions using an edge-centric Shapley value-based approach. STAR PROTOCOLS 2022: 101887-
2021
Stolfi Paola, Mastropietro Andrea, Pasculli Giuseppe, Tieri Paolo, Vergni Davide
Adaptive Positive-Unlabelled Learning via Markov Diffusion. Computer Science and Machine Learning 2021: -
2020
Maccagno Alessandro, Mastropietro Andrea, Mazziotta Umberto, Scarpiniti Michele, Lee Yong-Cheol, Uncini Aurelio
A CNN approach for audio classification in construction sites. Progresses in Artificial Intelligence and Neural Systems 2020: 371-381