Alessio Ragno | Department of Computer, Control and Management Engineering

dottorando

Membro di

Artificial Intelligence and Robotics

Nuovi approcci metodologici applicati a Cencelle (Tarquinia, VT) - New methodological approaches applied to Cencelle (Tarquinia, VT) on SPOLIA	2024
Explainable AI in drug discovery: self-interpretable graph neural network for molecular property prediction using concept whitening on MACHINE LEARNING	2023
Memory Replay For Continual Learning With Spiking Neural Networks on 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)	2023
Understanding Deep RL agent decisions: a novel interpretable approach with trainable prototypes on CEUR Workshop Proceedings Vol-3518	2023
Ligand-based and structure-based studies to develop predictive models for {SARS}-{CoV}-2 main protease inhibitors through the 3d-qsar.com portal on JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN	2022
Prototype-based Interpretable Graph Neural Networks on IEEE TRANSACTIONS ON ARTIFICIAL INTELLIGENCE	2022
Machine learning data augmentation as a tool to enhance quantitative composition–activity relationships of complex mixtures. A new application to dissect the role of main chemical components in bioactive essential oils on MOLECULES	2021