Pubblicazioni di Ragno Alessio

2024

Annoscia GIORGIA MARIA, Astolfi Roberta, Bellini Ilaria, Cavallero Serena, Chiovoloni Claudia, D’Amelio Stefano, DI FAZIO Melania, Gabrielli Simona, Moschetto Francesco, Perugini Eleonora, Pombi Marco, Ragno Alessio, Ragno Rino, Rondón Silvia, Sapienza Filippo

Nuovi approcci metodologici applicati a Cencelle (Tarquinia, VT) - New methodological approaches applied to Cencelle (Tarquinia, VT). SPOLIA 2024: -

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