Publications

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2021
Autonomous Planetary Landing via Deep Reinforcement Learning and Transfer Learning, Ciabatti, Giulia, Daftry Shreyansh, and Capobianco Roberto , Volume {False}, Number {False}, p.2031-2038, (2021)
2022
Deep Reinforcement Learning for Pin-Point Autonomous Lunar Landing: Trajectory Recalculation for Obstacle Avoidance, Ciabatti, Giulia, Spiller Dario, Daftry Shreyansh, Capobianco Roberto, and Curti Fabio , Volume {False}, Number {False}, p.False-False, (2022)
Grounding LTLf specifications in images, Umili, Elena, Capobianco Roberto, and De Giacomo Giuseppe , Volume {False}, Number {False}, p.45-63, (2022)
Ligand-based and structure-based studies to develop predictive models for SARS-CoV-2 main protease inhibitors through the 3d-qsar.com portal}, Proia, Eleonora, Ragno Alessio, Antonini Lorenzo, Sabatino Manuela, Mladenović Milan, Capobianco Roberto, and Ragno Rino , 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}, Proia, Eleonora, Ragno Alessio, Antonini Lorenzo, Sabatino Manuela, Mladenović Milan, Capobianco Roberto, and Ragno Rino , 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}, Proia, Eleonora, Ragno Alessio, Antonini Lorenzo, Sabatino Manuela, Mladenović Milan, Capobianco Roberto, and Ragno Rino , 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}, Proia, Eleonora, Ragno Alessio, Antonini Lorenzo, Sabatino Manuela, Mladenović Milan, Capobianco Roberto, and Ragno Rino , 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}, Proia, Eleonora, Ragno Alessio, Antonini Lorenzo, Sabatino Manuela, Mladenović Milan, Capobianco Roberto, and Ragno Rino , JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, Volume {36}, Number {7}, p.483-505, (2022)
A Moon Optical Navigation Robotic Facility on Simulated TERrain: MONSTER, Latorre, Francesco, Carbone Andrea, SASIDHARAN Sarathchandrakumar T. H. O. T. T. U. C. H. I. R., Ciabatti Giulia, Spiller Dario, Curti Fabio, and Capobianco Roberto , THE JOURNAL OF THE ASTRONAUTICAL SCIENCES, Volume {False}, Number {False}, p.False-False, (2022)
Prototype-based Interpretable Graph Neural Networks, Ragno, Alessio, La Rosa Biagio, and Capobianco Roberto , IEEE TRANSACTIONS ON ARTIFICIAL INTELLIGENCE, Volume {False}, Number {False}, p.1-11, (2022)
2023
Deep Reinforcement Learning for Pin-Point Autonomous Lunar Landing: Trajectory Recalculation for Obstacle Avoidance, Ciabatti, Giulia, Spiller Dario, Daftry Shreyansh, Capobianco Roberto, and Curti Fabio , Volume {False}, Number {False}, p.101-115, (2023)
Explainable AI in drug discovery: self-interpretable graph neural network for molecular property prediction using concept whitening, Proietti, Michela, Ragno Alessio, La Rosa Biagio, Ragno Rino, and Capobianco Roberto , MACHINE LEARNING, Volume {False}, Number {False}, p.False-False, (2023)
Grounding LTLf Specifications in Image Sequences, Umili, Elena, Capobianco Roberto, and De Giacomo Giuseppe , Proceedings of the 20th International Conference on Principles of Knowledge Representation and Reasoning, Volume {False}, Number {False}, p.False-False, (2023)
Memory Replay For Continual Learning With Spiking Neural Networks, Proietti, Michela, Ragno Alessio, and Capobianco Roberto , Volume {False}, Number {False}, p.1-6, (2023)
State of the Art of Visual Analytics for eXplainable Deep Learning, La Rosa, Biagio, Blasilli Graziano, Bourqui Romain, Auber David, Santucci Giuseppe, Capobianco Roberto, Bertini Enrico, Giot Romain, and Angelini Marco , COMPUTER GRAPHICS FORUM, Volume {False}, Number {False}, p.False-False, (2023)
Understanding Deep RL agent decisions: a novel interpretable approach with trainable prototypes, Borzillo, Caterina, Ragno Alessio, and Capobianco Roberto , Volume {False}, Number {False}, p.False-False, (2023)
Visual reward machines, Umili, Elena, Argenziano Francesco, Barbin Aymeric, and Capobianco Roberto , Volume {False}, Number {False}, p.False-False, (2023)

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