Alessio Ragno | Department of Computer, Control and Management Engineering

dottorando

Membro di

Artificial Intelligence and Robotics

Essential Oils as Antimicrobials against Acinetobacter baumannii: Experimental and Literature Data to Definite Predictive Quantitative Composition–Activity Relationship Models Using Machine Learning Algorithms on JOURNAL OF CHEMICAL INFORMATION AND MODELING	2025
Identifying Candidates for Protein-Protein Interaction: A Focus on NKp46’s Ligands on Proceedings of the First Workshop on Explainable Artificial Intelligence for the Medical Domain (EXPLIMED 2024)	2024
Nuovi approcci metodologici applicati a Cencelle (Tarquinia, VT) - New methodological approaches applied to Cencelle (Tarquinia, VT) on SPOLIA	2024
Transparent Explainable Logic Layers on ECAI 2024 - 27th European Conference on Artificial Intelligence, 19–24 October 2024, Santiago de Compostela, Spain – Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024)	2024
Explainable AI in drug discovery: self-interpretable graph neural network for molecular property prediction using concept whitening on MACHINE LEARNING	2023
Memory Replay For Continual Learning With Spiking Neural Networks on 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)	2023
Understanding Deep RL agent decisions: a novel interpretable approach with trainable prototypes on CEUR Workshop Proceedings Vol-3518	2023