Publications
Explainable AI in drug discovery: self-interpretable graph neural network for molecular property prediction using concept whitening,
, MACHINE LEARNING, Volume {False}, Number {False}, p.False-False, (2023)
Memory Replay For Continual Learning With Spiking Neural Networks,
, Volume {False}, Number {False}, p.1-6, (2023)
Understanding Deep RL agent decisions: a novel interpretable approach with trainable prototypes,
, Volume {False}, Number {False}, p.False-False, (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, Volume {36}, Number {7}, p.483-505, (2022)
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, Volume {36}, Number {7}, p.483-505, (2022)
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, Volume {36}, Number {7}, p.483-505, (2022)
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, Volume {36}, Number {7}, p.483-505, (2022)
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, Volume {36}, Number {7}, p.483-505, (2022)
Prototype-based Interpretable Graph Neural Networks,
, IEEE TRANSACTIONS ON ARTIFICIAL INTELLIGENCE, Volume {False}, Number {False}, p.1-11, (2022)