RAGNO, ALESSIO
RAGNO, ALESSIO
Essential oils as antimicrobials against Acinetobacter baumannii. Experimental and literature data to definite predictive quantitative composition–activity relationship models using machine learning algorithms
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
Explainable AI in drug design: self-interpretable graph neural network for molecular property prediction using concept whitening
2022 Proietti, Michela; Ragno, Alessio; Capobianco, Roberto
Explainable AI in drug discovery: self-interpretable graph neural network for molecular property prediction using concept whitening
2023 Proietti, Michela; Ragno, Alessio; Rosa, Biagio La; Ragno, Rino; Capobianco, Roberto
Identifying Candidates for Protein-Protein Interaction: A Focus on NKp46’s Ligands
2024 Borghini, A.; Di Valerio, F.; Ragno, A.; Capobianco, R.
Ligand-based and structure-based studies to develop predictive models for {SARS}-{CoV}-2 main protease inhibitors through the 3d-qsar.com portal
2022 Proia, Eleonora; Ragno, Alessio; Antonini, Lorenzo; Sabatino, Manuela; Mladenović, Milan; Capobianco, Roberto; Ragno, Rino
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
2021 Ragno, A.; Baldisserotto, A.; Antonini, L.; Sabatino, M.; Sapienza, F.; Baldini, E.; Buzzi, R.; Vertuani, S.; Manfredini, S.
Memory Replay For Continual Learning With Spiking Neural Networks
2023 Proietti, Michela; Ragno, Alessio; Capobianco, Roberto
Molecule Generation from Input-Attribution over Graph Convolutional Networks
2021 Savoia, Dylan; Ragno, Alessio; Capobianco, Roberto
Nuovi approcci metodologici applicati a Cencelle (Tarquinia, VT). New methodological approaches applied to Cencelle (Tarquinia, VT)
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
Prototype-based Interpretable Graph Neural Networks
2022 Ragno, Alessio; LA ROSA, Biagio; Capobianco, Roberto
Py-Graph: An Easy-To-Use Interface for Building Graph-Based QSAR Models
2022 Ragno, Alessio; Capobianco, Roberto; Ragno, Rino
Semi-Supervised GCN for learning Molecular Structure-Activity Relationships
2021 Ragno, Alessio; Savoia, Dylan; Capobianco, Roberto
Topology-based explanations for neural networks
2025 Ragno, Alessio
Transparent Explainable Logic Layers
2024 Ragno, Alessio; Plantevit, Marc; Robardet, Celine; Capobianco, Roberto
Understanding Deep RL agent decisions: a novel interpretable approach with trainable prototypes
2023 Borzillo, Caterina; Ragno, Alessio; Capobianco, Roberto