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2020 – today
- 2024
[i3]Gianluca De Carlo, Andrea Mastropietro, Aris Anagnostopoulos:
Kolmogorov-Arnold Graph Neural Networks. CoRR abs/2406.18354 (2024)- 2023
- [j3]Paola Stolfi, Andrea Mastropietro
, Giuseppe Pasculli, Paolo Tieri, Davide Vergni:
NIAPU: network-informed adaptive positive-unlabeled learning for disease gene identification. Bioinform. 39(2) (2023) - [j2]Andrea Mastropietro, Gianluca De Carlo, Aris Anagnostopoulos:
XGDAG: explainable gene-disease associations via graph neural networks. Bioinform. 39(8) (2023) - [j1]Andrea Mastropietro, Giuseppe Pasculli, Jürgen Bajorath:
Learning characteristics of graph neural networks predicting protein-ligand affinities. Nat. Mac. Intell. 5(12): 1427-1436 (2023) - 2022
- [c2]Riccardo De Luca, Marco Carfora, Gonzalo Blanco, Andrea Mastropietro, Manuela Petti, Paolo Tieri:
PROCONSUL: PRObabilistic exploration of CONnectivity Significance patterns for disease modULe discovery. BIBM 2022: 1941-1947 - [i2]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:
AI-based Data Preparation and Data Analytics in Healthcare: The Case of Diabetes. CoRR abs/2206.06182 (2022) - 2021
- [i1]Paola Stolfi, Andrea Mastropietro, Giuseppe Pasculli, Paolo Tieri, Davide Vergni:
Adaptive Positive-Unlabelled Learning via Markov Diffusion. CoRR abs/2108.06158 (2021)
2010 – 2019
- 2017
- [c1]Alessandro Maccagno, Andrea Mastropietro, Umberto Mazziotta, Michele Scarpiniti, Yong-Cheol Lee, Aurelio Uncini:
A CNN Approach for Audio Classification in Construction Sites. IIH-MSP (1) 2017: 371-381
Coauthor Index
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