Pubblicazioni di Ragno Alessio

2023

Proietti Michela, Ragno Alessio, Rosa Biagio La, Ragno Rino, Capobianco Roberto

Explainable AI in drug discovery: self-interpretable graph neural network for molecular property prediction using concept whitening. MACHINE LEARNING 2023: -

Proietti Michela, Ragno Alessio, Capobianco Roberto

Memory Replay For Continual Learning With Spiking Neural Networks. 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP) 2023: 1-6

Borzillo Caterina, Ragno Alessio, Capobianco Roberto

Understanding Deep RL agent decisions: a novel interpretable approach with trainable prototypes. CEUR Workshop Proceedings Vol-3518 2023: -

2022

Proia Eleonora, Ragno Alessio, Antonini Lorenzo, Sabatino Manuela, Mladenović Milan, Capobianco Roberto, Ragno Rino

Ligand-based and structure-based studies to develop predictive models for {SARS}-{CoV}-2 main protease inhibitors through the 3d-qsar.com portal. JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN 2022: 483-505

Ragno Alessio, LA ROSA Biagio, Capobianco Roberto

Prototype-based Interpretable Graph Neural Networks. IEEE TRANSACTIONS ON ARTIFICIAL INTELLIGENCE 2022: 1-11

2021

Ragno A., Baldisserotto A., Antonini L., Sabatino M., Sapienza F., Baldini E., Buzzi R., Vertuani S., Manfredini S.

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. MOLECULES 2021: 1-12