Pubblicazioni di Ragno Alessio

2025

Astolfi Roberta, Oliva Alessandra, Raffo Antonio, Sapienza Filippo, Ragno Alessio, Proia Eleonora, Mastroianni Claudio M, Luceri Cristina, Bozovic Mijat, Mladenovic Milan, Papa Rosanna, Bottoni Patrizia, Mazzinelli Elena, Nocca Giuseppina, Ragno Rino

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: 1-14

2024

Borghini A., Di Valerio F., Ragno A., Capobianco R.

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: -

Annoscia GIORGIA MARIA, Astolfi Roberta, Bellini Ilaria, Cavallero Serena, Chiovoloni Claudia, D’Amelio Stefano, DI FAZIO Melania, Gabrielli Simona, Moschetto Francesco, Perugini Eleonora, Pombi Marco, Ragno Alessio, Ragno Rino, Rondón Silvia, Sapienza Filippo

Nuovi approcci metodologici applicati a Cencelle (Tarquinia, VT) - New methodological approaches applied to Cencelle (Tarquinia, VT). SPOLIA 2024: -

Ragno Alessio, Plantevit Marc, Robardet Celine, Capobianco Roberto

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: 914-921

2023

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

Explainable AI in drug discovery: self-interpretable graph neural network for molecular property prediction using concept whitening. MACHINE LEARNING 2023: -

Proietti Michela, Ragno Alessio, Capobianco Roberto

Memory Replay For Continual Learning With Spiking Neural Networks. 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP) 2023: 1-6

Borzillo Caterina, Ragno Alessio, Capobianco Roberto

Understanding Deep RL agent decisions: a novel interpretable approach with trainable prototypes. CEUR Workshop Proceedings Vol-3518 2023: -

2022

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

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: 483-505

Ragno Alessio, LA ROSA Biagio, Capobianco Roberto

Prototype-based Interpretable Graph Neural Networks. IEEE TRANSACTIONS ON ARTIFICIAL INTELLIGENCE 2022: 1-11

2021

Ragno A., Baldisserotto A., Antonini L., Sabatino M., Sapienza F., Baldini E., Buzzi R., Vertuani S., Manfredini S.

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: 1-12