Publications

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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)
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)
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)
Empowering Collaboration: A Pipeline for Human-Robot Spoken Interaction in Collaborative Scenarios, Kaszuba, Sara, Caposiena Julien, Sabbella Sandeep Reddy, Leotta Francesco, and Nardi Daniele , Volume {False}, Number {False}, p.95-107, (2023)
Estimation of aerothermal heating for a thermal protection system with temperature dependent material properties, Brociek, R., Hetmaniok E., Napoli C., Capizzi G., and Slota D. , INTERNATIONAL JOURNAL OF THERMAL SCIENCES, Volume {188}, Number {False}, p.False-False, (2023)
European Robotics League: Benchmarking through Smart City Robot Competitions, Studley, Matthew, Carter Sarah, Perez-Grau Francisco J., Viguria Antidio, Ferri Gabriele, Ferreira Fausto, Nair Deebul, Schneider Sven, Plöger Paul G., Lima Pedro U., et al. , Volume {False}, Number {False}, p.False-False, (2023)
European Robotics League: Benchmarking through Smart City Robot Competitions, Studley, Matthew, Carter Sarah, Perez-Grau Francisco J., Viguria Antidio, Ferri Gabriele, Ferreira Fausto, Nair Deebul, Schneider Sven, Plöger Paul G., Lima Pedro U., et al. , Volume {False}, Number {False}, p.False-False, (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)
Exploiting Multiple Abstractions in Episodic RL via Reward Shaping, Cipollone, R., De Giacomo G., Favorito M., Iocchi L., and Patrizi F. , Volume {37}, Number {False}, p.7227-7234, (2023)
A GAN Approach for Anomaly Detection in Spacecraft Telemetries, Ciancarelli, C., De Magistris G., Cognetta S., Appetito D., Napoli C., and Nardi D. , Volume {531}, Number {False}, p.393-402, (2023)
A GAN Approach for Anomaly Detection in Spacecraft Telemetries, Ciancarelli, C., De Magistris G., Cognetta S., Appetito D., Napoli C., and Nardi D. , Volume {531}, Number {False}, p.393-402, (2023)
A GAN Approach for Anomaly Detection in Spacecraft Telemetries, Ciancarelli, C., De Magistris G., Cognetta S., Appetito D., Napoli C., and Nardi D. , Volume {531}, Number {False}, p.393-402, (2023)
A GAN Approach for Anomaly Detection in Spacecraft Telemetries, Ciancarelli, C., De Magistris G., Cognetta S., Appetito D., Napoli C., and Nardi D. , Volume {531}, Number {False}, p.393-402, (2023)
A GAN Approach for Anomaly Detection in Spacecraft Telemetries, Ciancarelli, C., De Magistris G., Cognetta S., Appetito D., Napoli C., and Nardi D. , Volume {531}, Number {False}, p.393-402, (2023)
A GAN Approach for Anomaly Detection in Spacecraft Telemetries, Ciancarelli, C., De Magistris G., Cognetta S., Appetito D., Napoli C., and Nardi D. , Volume {531}, Number {False}, p.393-402, (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)
Identification of aerothermal heating for thermal protection systems taking into account the thermal resistance between layers, Brociek, R., Hetmaniok E., Napoli C., Capizzi G., and Slota D. , INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, Volume {218}, Number {False}, p.124772-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 odometry with depth-wise separable convolution and quaternion neural networks, De Magistris, G., Comminiello D., Napoli C., and Starczewski J. T. , Volume {3417}, Number {False}, p.70-80, (2023)
Visual odometry with depth-wise separable convolution and quaternion neural networks, De Magistris, G., Comminiello D., Napoli C., and Starczewski J. T. , Volume {3417}, Number {False}, p.70-80, (2023)
Visual odometry with depth-wise separable convolution and quaternion neural networks, De Magistris, G., Comminiello D., Napoli C., and Starczewski J. T. , Volume {3417}, Number {False}, p.70-80, (2023)
Visual reward machines, Umili, Elena, Argenziano Francesco, Barbin Aymeric, and Capobianco Roberto , Volume {False}, Number {False}, p.False-False, (2023)
Weakly and semi-supervised detection, segmentation and tracking of table grapes with limited and noisy data, Ciarfuglia, Thomas A., Motoi Ionut M., Saraceni Leonardo, Fawakherji Mulham, Sanfeliu Alberto, and Nardi Daniele , COMPUTERS AND ELECTRONICS IN AGRICULTURE, Volume {205}, Number {False}, p.False-False, (2023)
2022
Application of Heuristic Algorithms in the Tomography Problem for Pre-Mining Anomaly Detection in Coal Seams, Brociek, Rafał, Pleszczyński Mariusz, Zielonka Adam, Wajda Agata, Coco Salvatore, Sciuto Grazia Lo, and Napoli Christian , SENSORS, Volume {22}, Number {19}, p.False-False, (2022)
Application of Heuristic Algorithms in the Tomography Problem for Pre-Mining Anomaly Detection in Coal Seams, Brociek, Rafał, Pleszczyński Mariusz, Zielonka Adam, Wajda Agata, Coco Salvatore, Sciuto Grazia Lo, and Napoli Christian , SENSORS, Volume {22}, Number {19}, p.False-False, (2022)
Application of Heuristic Algorithms in the Tomography Problem for Pre-Mining Anomaly Detection in Coal Seams, Brociek, Rafał, Pleszczyński Mariusz, Zielonka Adam, Wajda Agata, Coco Salvatore, Sciuto Grazia Lo, and Napoli Christian , SENSORS, Volume {22}, Number {19}, p.False-False, (2022)
Augmentation of Sunflower-Weed Segmentation Classification with Unity Generated Imagery Including Near Infrared Sensor Data, Carbone, Carlos, Potena Ciro, and Nardi Daniele , Volume {False}, Number {False}, p.42-63, (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)
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)
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)
Detection accuracy for evaluating compositional explanations of units, Makinwa, S. M., La Rosa B., and Capobianco R. , Volume {13196 LNAI}, Number {False}, p.550-563, (2022)
Detection accuracy for evaluating compositional explanations of units, Makinwa, S. M., La Rosa B., and Capobianco R. , Volume {13196 LNAI}, Number {False}, p.550-563, (2022)
Detection accuracy for evaluating compositional explanations of units, Makinwa, S. M., La Rosa B., and Capobianco R. , Volume {13196 LNAI}, Number {False}, p.550-563, (2022)
A Discussion about Explainable Inference on Sequential Data via Memory-Tracking, La Rosa, B., Capobianco R., and Nardi D. , Volume {3078}, Number {False}, p.33-44, (2022)
A Discussion about Explainable Inference on Sequential Data via Memory-Tracking, La Rosa, B., Capobianco R., and Nardi D. , Volume {3078}, Number {False}, p.33-44, (2022)
Exploiting Wavelet Recurrent Neural Networks for satellite telemetry data modeling, prediction and control, Napoli, Christian, DE MAGISTRIS Giorgio, Ciancarelli Carlo, Corallo Francesco, Russo Francesco, and Nardi Daniele , EXPERT SYSTEMS WITH APPLICATIONS, Volume {False}, Number {False}, p.False-False, (2022)
Exploiting Wavelet Recurrent Neural Networks for satellite telemetry data modeling, prediction and control, Napoli, Christian, DE MAGISTRIS Giorgio, Ciancarelli Carlo, Corallo Francesco, Russo Francesco, and Nardi Daniele , EXPERT SYSTEMS WITH APPLICATIONS, Volume {False}, Number {False}, p.False-False, (2022)
Exploiting Wavelet Recurrent Neural Networks for satellite telemetry data modeling, prediction and control, Napoli, Christian, DE MAGISTRIS Giorgio, Ciancarelli Carlo, Corallo Francesco, Russo Francesco, and Nardi Daniele , EXPERT SYSTEMS WITH APPLICATIONS, Volume {False}, Number {False}, p.False-False, (2022)
Exploiting Wavelet Recurrent Neural Networks for satellite telemetry data modeling, prediction and control, Napoli, Christian, DE MAGISTRIS Giorgio, Ciancarelli Carlo, Corallo Francesco, Russo Francesco, and Nardi Daniele , EXPERT SYSTEMS WITH APPLICATIONS, Volume {False}, Number {False}, p.False-False, (2022)
Fast Sparse LiDAR Odometry Using Self-Supervised Feature Selection on Intensity Images, Guadagnino, Tiziano, Chen Xieyuanli, Sodano Matteo, Behley Jens, Grisetti Giorgio, and Stachniss Cyrill , IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {7}, Number {3}, p.7597-7604, (2022)
Fast Sparse LiDAR Odometry Using Self-Supervised Feature Selection on Intensity Images, Guadagnino, Tiziano, Chen Xieyuanli, Sodano Matteo, Behley Jens, Grisetti Giorgio, and Stachniss Cyrill , IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {7}, Number {3}, p.7597-7604, (2022)
Fast Sparse LiDAR Odometry Using Self-Supervised Feature Selection on Intensity Images, Guadagnino, Tiziano, Chen Xieyuanli, Sodano Matteo, Behley Jens, Grisetti Giorgio, and Stachniss Cyrill , IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {7}, Number {3}, p.7597-7604, (2022)
Fast Sparse LiDAR Odometry Using Self-Supervised Feature Selection on Intensity Images, Guadagnino, Tiziano, Chen Xieyuanli, Sodano Matteo, Behley Jens, Grisetti Giorgio, and Stachniss Cyrill , IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {7}, Number {3}, p.7597-7604, (2022)
Grounding LTLf specifications in images, Umili, Elena, Capobianco Roberto, and De Giacomo Giuseppe , Volume {False}, Number {False}, p.45-63, (2022)
A Hierarchical Framework for Collaborative Artificial Intelligence, Crowley, James L., Coutaz Joelle, Grosinger Jasmin, Vazquez-Salceda Javier, Angulo Cecilio, Sanfeliu Alberto, Iocchi Luca, and Cohn Anthony G. , IEEE PERVASIVE COMPUTING, Volume {False}, Number {False}, p.1-10, (2022)
A Hierarchical Framework for Collaborative Artificial Intelligence, Crowley, James L., Coutaz Joelle, Grosinger Jasmin, Vazquez-Salceda Javier, Angulo Cecilio, Sanfeliu Alberto, Iocchi Luca, and Cohn Anthony G. , IEEE PERVASIVE COMPUTING, Volume {False}, Number {False}, p.1-10, (2022)
A Hierarchical Framework for Collaborative Artificial Intelligence, Crowley, James L., Coutaz Joelle, Grosinger Jasmin, Vazquez-Salceda Javier, Angulo Cecilio, Sanfeliu Alberto, Iocchi Luca, and Cohn Anthony G. , IEEE PERVASIVE COMPUTING, Volume {False}, Number {False}, p.1-10, (2022)
A Hierarchical Framework for Collaborative Artificial Intelligence, Crowley, James L., Coutaz Joelle, Grosinger Jasmin, Vazquez-Salceda Javier, Angulo Cecilio, Sanfeliu Alberto, Iocchi Luca, and Cohn Anthony G. , IEEE PERVASIVE COMPUTING, Volume {False}, Number {False}, p.1-10, (2022)

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