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Alessio Ragno
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Journal Articles
- 2024
- [j3]Michela Proietti, Alessio Ragno, Biagio La Rosa, Rino Ragno, Roberto Capobianco:
Explainable AI in drug discovery: self-interpretable graph neural network for molecular property prediction using concept whitening. Mach. Learn. 113(4): 2013-2044 (2024) - [j2]Alessio Ragno, Biagio La Rosa, Roberto Capobianco:
Prototype-Based Interpretable Graph Neural Networks. IEEE Trans. Artif. Intell. 5(4): 1486-1495 (2024) - 2022
- [j1]Eleonora Proia, Alessio Ragno, Lorenzo Antonini, Manuela Sabatino, Milan Mladenovic, Roberto Capobianco, Rino Ragno:
Ligand-based and structure-based studies to develop predictive models for SARS-CoV-2 main protease inhibitors through the 3d-qsar.com portal. J. Comput. Aided Mol. Des. 36(7): 483-505 (2022)
Conference and Workshop Papers
- 2024
- [c3]Alessio Ragno, Marc Plantevit, Céline Robardet, Roberto Capobianco:
Transparent Explainable Logic Layers. ECAI 2024: 914-921 - 2023
- [c2]Caterina Borzillo, Alessio Ragno, Roberto Capobianco:
Understanding Deep RL Agent Decisions: a Novel Interpretable Approach with Trainable Prototypes. XAI.it@AI*IA 2023: 1-14 - [c1]Michela Proietti, Alessio Ragno, Roberto Capobianco:
Memory Replay For Continual Learning With Spiking Neural Networks. MLSP 2023: 1-6
Informal and Other Publications
- 2022
- [i2]Dylan Savoia, Alessio Ragno, Roberto Capobianco:
Molecule Generation from Input-Attributions over Graph Convolutional Networks. CoRR abs/2202.05703 (2022) - [i1]Alessio Ragno, Dylan Savoia, Roberto Capobianco:
Semi-Supervised GCN for learning Molecular Structure-Activity Relationships. CoRR abs/2202.05704 (2022)
Coauthor Index
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last updated on 2024-10-28 21:14 CET by the dblp team
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