@article {11573/1691190,
	title = {{Explainable AI in drug discovery: self-interpretable graph neural network for molecular property prediction using concept whitening}},
	journal = {MACHINE LEARNING},
	volume = {{False}},
	number = {{False}},
	year = {2023},
	pages = {False-False},
	keywords = {explainable artificial intelligence, graph neural netowkrs}, {drug discovery},
	doi = {{10.1007/s10994-023-06369-y}},
	author = {Proietti, Michela and Ragno, Alessio and Rosa, Biagio La and Ragno, Rino and Capobianco, Roberto}
}
@article {11573/1690926,
	title = {{Memory Replay For Continual Learning With Spiking Neural Networks}},
	volume = {{False}},
	number = {{False}},
	year = {2023},
	pages = {1-6},
	keywords = {memory replay, Spiking Neural Networks}, {continual learning},
	doi = {{10.1109/MLSP55844.2023.10285911}},
	author = {Proietti, Michela and Ragno, Alessio and Capobianco, Roberto}
}
@article {11573/1696769,
	title = {{Understanding Deep RL agent decisions: a novel interpretable approach with trainable prototypes}},
	volume = {{False}},
	number = {{False}},
	year = {2023},
	pages = {False-False},
	keywords = {explainable artificial intelligence}, Reinforcement Learning, {Interpretable deep learning},
	doi = {{False}},
	author = {Borzillo, Caterina and Ragno, Alessio and Capobianco, Roberto}
}
@article {11573/1659035,
	title = {{Ligand-based and structure-based studies to develop predictive models for {SARS}-{CoV}-2 main protease inhibitors through the 3d-qsar.com portal}},
	journal = {JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN},
	volume = {{36}},
	number = {{7}},
	year = {2022},
	pages = {483-505},
	keywords = {Antiviral Agents, COMBINE, Coronavirus 3C Proteases, COVID-19, Humans, Ligand-based drug design, Ligands, Molecular Docking Simulation, Protease Inhibitors, Quantitative Structure-Activity Relationship, Structure-activity relationships, Structure-based drug design}, {3-D QSAR},
	doi = {{10.1007/s10822-022-00460-7}},
	author = {Proia, Eleonora and Ragno, Alessio and Antonini, Lorenzo and Sabatino, Manuela and Mladenovi{\'c}, Milan and Capobianco, Roberto and Ragno, Rino}
}
@article {11573/1659035,
	title = {{Ligand-based and structure-based studies to develop predictive models for {SARS}-{CoV}-2 main protease inhibitors through the 3d-qsar.com portal}},
	journal = {JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN},
	volume = {{36}},
	number = {{7}},
	year = {2022},
	pages = {483-505},
	keywords = {Antiviral Agents, COMBINE, Coronavirus 3C Proteases, COVID-19, Humans, Ligand-based drug design, Ligands, Molecular Docking Simulation, Protease Inhibitors, Quantitative Structure-Activity Relationship, Structure-activity relationships, Structure-based drug design}, {3-D QSAR},
	doi = {{10.1007/s10822-022-00460-7}},
	author = {Proia, Eleonora and Ragno, Alessio and Antonini, Lorenzo and Sabatino, Manuela and Mladenovi{\'c}, Milan and Capobianco, Roberto and Ragno, Rino}
}
@article {11573/1659035,
	title = {{Ligand-based and structure-based studies to develop predictive models for {SARS}-{CoV}-2 main protease inhibitors through the 3d-qsar.com portal}},
	journal = {JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN},
	volume = {{36}},
	number = {{7}},
	year = {2022},
	pages = {483-505},
	keywords = {Antiviral Agents, COMBINE, Coronavirus 3C Proteases, COVID-19, Humans, Ligand-based drug design, Ligands, Molecular Docking Simulation, Protease Inhibitors, Quantitative Structure-Activity Relationship, Structure-activity relationships, Structure-based drug design}, {3-D QSAR},
	doi = {{10.1007/s10822-022-00460-7}},
	author = {Proia, Eleonora and Ragno, Alessio and Antonini, Lorenzo and Sabatino, Manuela and Mladenovi{\'c}, Milan and Capobianco, Roberto and Ragno, Rino}
}
@article {11573/1659035,
	title = {{Ligand-based and structure-based studies to develop predictive models for {SARS}-{CoV}-2 main protease inhibitors through the 3d-qsar.com portal}},
	journal = {JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN},
	volume = {{36}},
	number = {{7}},
	year = {2022},
	pages = {483-505},
	keywords = {Antiviral Agents, COMBINE, Coronavirus 3C Proteases, COVID-19, Humans, Ligand-based drug design, Ligands, Molecular Docking Simulation, Protease Inhibitors, Quantitative Structure-Activity Relationship, Structure-activity relationships, Structure-based drug design}, {3-D QSAR},
	doi = {{10.1007/s10822-022-00460-7}},
	author = {Proia, Eleonora and Ragno, Alessio and Antonini, Lorenzo and Sabatino, Manuela and Mladenovi{\'c}, Milan and Capobianco, Roberto and Ragno, Rino}
}
@article {11573/1659035,
	title = {{Ligand-based and structure-based studies to develop predictive models for {SARS}-{CoV}-2 main protease inhibitors through the 3d-qsar.com portal}},
	journal = {JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN},
	volume = {{36}},
	number = {{7}},
	year = {2022},
	pages = {483-505},
	keywords = {Antiviral Agents, COMBINE, Coronavirus 3C Proteases, COVID-19, Humans, Ligand-based drug design, Ligands, Molecular Docking Simulation, Protease Inhibitors, Quantitative Structure-Activity Relationship, Structure-activity relationships, Structure-based drug design}, {3-D QSAR},
	doi = {{10.1007/s10822-022-00460-7}},
	author = {Proia, Eleonora and Ragno, Alessio and Antonini, Lorenzo and Sabatino, Manuela and Mladenovi{\'c}, Milan and Capobianco, Roberto and Ragno, Rino}
}
@article {11573/1662081,
	title = {{Prototype-based Interpretable Graph Neural Networks}},
	journal = {IEEE TRANSACTIONS ON ARTIFICIAL INTELLIGENCE},
	volume = {{False}},
	number = {{False}},
	year = {2022},
	pages = {1-11},
	keywords = {{}},
	doi = {{10.1109/TAI.2022.3222618}},
	author = {Ragno, Alessio and La Rosa, Biagio and Capobianco, Roberto}
}
