Alessio Ragno | Ricerc@Sapienza

Pubblicazioni

Titolo	Pubblicato in	Anno
Essential Oils as Antimicrobials against Acinetobacter baumannii: Experimental and Literature Data to Definite Predictive Quantitative Composition–Activity Relationship Models Using Machine Learning Algorithms	JOURNAL OF CHEMICAL INFORMATION AND MODELING	2025
Nuovi approcci metodologici applicati a Cencelle (Tarquinia, VT) - New methodological approaches applied to Cencelle (Tarquinia, VT)	SPOLIA	2024
Transparent Explainable Logic Layers	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
Identifying Candidates for Protein-Protein Interaction: A Focus on NKp46’s Ligands	Proceedings of the First Workshop on Explainable Artificial Intelligence for the Medical Domain (EXPLIMED 2024)	2024
Memory Replay For Continual Learning With Spiking Neural Networks	2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)	2023
Explainable AI in drug discovery: self-interpretable graph neural network for molecular property prediction using concept whitening	MACHINE LEARNING	2023
Understanding Deep RL agent decisions: a novel interpretable approach with trainable prototypes	CEUR Workshop Proceedings Vol-3518	2023
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
Prototype-based Interpretable Graph Neural Networks	IEEE TRANSACTIONS ON ARTIFICIAL INTELLIGENCE	2022
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