Andrea Mastropietro | Ricerc@Sapienza

Pubblicazioni

Titolo	Pubblicato in	Anno
Protocol to explain support vector machine predictions via exact Shapley value computation	STAR PROTOCOLS	2024
NIAPU: Network-Informed Adaptive Positive-Unlabeled learning for disease gene identification	BIOINFORMATICS	2023
XGDAG: explainable gene–disease associations via graph neural networks	BIOINFORMATICS	2023
Learning characteristics of graph neural networks predicting protein–ligand affinities	NATURE MACHINE INTELLIGENCE	2023
Calculation of exact Shapley values for explaining support vector machine models using the radial basis function kernel	SCIENTIFIC REPORTS	2023
NETWORK PROXIMITY-BASED DRUG REPURPOSING STRATEGY FOR PRIMARY BILIARY CHOLANGITIS	DIGESTIVE AND LIVER DISEASE	2022
Network Proximity-Based Drug Repurposing Strategy for Early and Late Stages of Primary Biliary Cholangitis	BIOMEDICINES	2022
EdgeSHAPer: Bond-Centric Shapley Value-Based Explanation Method for Graph Neural Networks	ISCIENCE	2022
Protocol to explain graph neural network predictions using an edge-centric Shapley value-based approach	STAR PROTOCOLS	2022
PROCONSUL: PRObabilistic exploration of CONnectivity Significance patterns for disease modULe discovery	2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)	2022
Adaptive Positive-Unlabelled Learning via Markov Diffusion	Computer Science and Machine Learning	2021
A CNN approach for audio classification in construction sites	Progresses in Artificial Intelligence and Neural Systems	2020

ERC

LS2_11
PE6
PE6_7
PE6_13

KET

Big data & computing

Interessi di ricerca

I miei interessi di ricerca rigurdano lo sviluppo e l'applicazione di tecniche di intelligenza artificiale in medicina e bioinformatica, con un focus particolare su training e interpretabilità delle reti neurali.

My reaseach interests are about the development and application of AI techinques in medicine and bioinformatics, with a particular focus on neural network training and interpretability in such critical contexts.

Keywords

artificial neural network

bioinformatics

deep learning

explainable AI

machine learning

Network medicine

Progetti di Ricerca

Neural Network Interpretability in Bioinformatics