Alessio Ragno

According to our database, Alessio Ragno authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Prototype-Based Interpretable Graph Neural Networks.

Alessio Ragno, Biagio La Rosa, Roberto Capobianco

IEEE Trans. Artif. Intell., April, 2024

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

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

Mach. Learn., April, 2024

Identifying Candidates for Protein-Protein Interaction: A Focus on NKp46's Ligands.

Alessia Borghini, Federico Di Valerio, Alessio Ragno, Roberto Capobianco

Proceedings of the First Workshop on Explainable Artificial Intelligence for the Medical Domain (EXPLIMED 2024) co-located with 27th European Conference on Artificial Intelligence (ECAI 2024), 2024

Transparent Explainable Logic Layers.

Alessio Ragno, Marc Plantevit, Céline Robardet, Roberto Capobianco

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Memory Replay For Continual Learning With Spiking Neural Networks.

Michela Proietti, Alessio Ragno, Roberto Capobianco

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Understanding Deep RL Agent Decisions: a Novel Interpretable Approach with Trainable Prototypes.

Caterina Borzillo, Alessio Ragno, Roberto Capobianco

Proceedings of the 4th Italian Workshop on Explainable Artificial Intelligence co-located with 22nd International Conference of the Italian Association for Artificial Intelligence(AIxIA 2023), 2023

2022

Ligand-based and structure-based studies to develop predictive models for SARS-CoV-2 main protease inhibitors through the 3d-qsar.com portal.

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

J. Comput. Aided Mol. Des., 2022

Semi-Supervised GCN for learning Molecular Structure-Activity Relationships.

Alessio Ragno, Dylan Savoia, Roberto Capobianco

CoRR, 2022

Molecule Generation from Input-Attributions over Graph Convolutional Networks.

Dylan Savoia, Alessio Ragno, Roberto Capobianco

CoRR, 2022