RAGNO, ALESSIO
RAGNO, ALESSIO
DIPARTIMENTO DI INGEGNERIA INFORMATICA, AUTOMATICA E GESTIONALE -ANTONIO RUBERTI-
Explainable AI in drug design: self-interpretable graph neural network for molecular property prediction using concept whitening
2022 Proietti, Michela; Ragno, Alessio; Capobianco, Roberto
Explainable AI in drug discovery: self-interpretable graph neural network for molecular property prediction using concept whitening
2023 Proietti, Michela; Ragno, Alessio; Rosa, Biagio La; Ragno, Rino; Capobianco, Roberto
Ligand-based and structure-based studies to develop predictive models for {SARS}-{CoV}-2 main protease inhibitors through the 3d-qsar.com portal
2022 Proia, Eleonora; Ragno, Alessio; Antonini, Lorenzo; Sabatino, Manuela; Mladenović, Milan; Capobianco, Roberto; Ragno, Rino
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
2021 Ragno, A.; Baldisserotto, A.; Antonini, L.; Sabatino, M.; Sapienza, F.; Baldini, E.; Buzzi, R.; Vertuani, S.; Manfredini, S.
Memory Replay For Continual Learning With Spiking Neural Networks
2023 Proietti, Michela; Ragno, Alessio; Capobianco, Roberto
Molecule Generation from Input-Attribution over Graph Convolutional Networks
2021 Savoia, Dylan; Ragno, Alessio; Capobianco, Roberto
Prototype-based Interpretable Graph Neural Networks
2022 Ragno, Alessio; LA ROSA, Biagio; Capobianco, Roberto
Py-Graph: An Easy-To-Use Interface for Building Graph-Based QSAR Models
2022 Ragno, Alessio; Capobianco, Roberto; Ragno, Rino
Semi-Supervised GCN for learning Molecular Structure-Activity Relationships
2021 Ragno, Alessio; Savoia, Dylan; Capobianco, Roberto
Understanding Deep RL agent decisions: a novel interpretable approach with trainable prototypes
2023 Borzillo, Caterina; Ragno, Alessio; Capobianco, Roberto