Publications

Export 1308 results:
Author Title Type [ Year(Asc)]
2023
An Advanced Solution Based on Machine Learning for Remote EMDR Therapy, Fiani, F., Russo S., and Napoli C. , TECHNOLOGIES, Volume {11}, Number {6}, p.False-False, (2023)
Aixia 2022. advances in artificial intelligence, Bartoli, Ermanno, Argenziano Francesco, Suriani Vincenzo, and Nardi Daniele , Volume {False}, Number {False}, p.False-False, (2023)
Aixia 2022. advances in artificial intelligence, Bartoli, Ermanno, Argenziano Francesco, Suriani Vincenzo, and Nardi Daniele , Volume {False}, Number {False}, p.False-False, (2023)
Aixia 2022. advances in artificial intelligence, Bartoli, Ermanno, Argenziano Francesco, Suriani Vincenzo, and Nardi Daniele , Volume {False}, Number {False}, p.False-False, (2023)
Artificial neural networks exploiting point cloud data for fragmented solid objects classification, Baiocchi, A., Giagu S., Napoli C., Serra M., Nardelli P., and Valleriani M. , MACHINE LEARNING: SCIENCE AND TECHNOLOGY, Volume {4}, Number {4}, p.False-False, (2023)
Convergent Approaches to AI Explainability for HEP Muonic Particles Pattern Recognition, Maglianella, L., Nicoletti L., Giagu S., Napoli C., and Scardapane S. , COMPUTING AND SOFTWARE FOR BIG SCIENCE, Volume {7}, Number {1}, p.False-False, (2023)
Convergent Approaches to AI Explainability for HEP Muonic Particles Pattern Recognition, Maglianella, L., Nicoletti L., Giagu S., Napoli C., and Scardapane S. , COMPUTING AND SOFTWARE FOR BIG SCIENCE, Volume {7}, Number {1}, p.False-False, (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)
Enhancing graph representation of the environment through local and cloud computation, Argenziano, Francesco, Suriani Vincenzo, and Nardi Daniele , Volume {False}, Number {False}, p.False-False, (2023)
Enhancing LiDAR Performance: Robust De-Skewing Exclusively Relying on Range Measurements, Salem, O. A. A. K., Giacomini E., Brizi L., Di Giammarino L., and Grisetti G. , Volume {False}, Number {False}, p.310-320, (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)
Eye-Tracking System with Low-End Hardware: Development and Evaluation, Iacobelli, E., Ponzi V., Russo S., and Napoli C. , INFORMATION, Volume {14}, Number {12}, p.False-False, (2023)
A formalization of multi-agent planning with explicit agent representation, Trapasso, Alessandro, Santilli Sofia, Iocchi Luca, and Patrizi Fabio , Volume {False}, Number {False}, p.816-823, (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)
Gesture Recognition for Human-Robot Interaction Through Virtual Characters, Sabbella, S. R., Kaszuba S., Leotta F., and Nardi D. , Volume {14454}, Number {False}, p.160-170, (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)
Handling Constrained Optimization in Factor Graphs for Autonomous Navigation, Bazzana, Barbara, Guadagnino Tiziano, and Grisetti Giorgio , IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {8}, Number {1}, p.432-439, (2023)
Handling Constrained Optimization in Factor Graphs for Autonomous Navigation, Bazzana, Barbara, Guadagnino Tiziano, and Grisetti Giorgio , IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {8}, Number {1}, p.432-439, (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)
Knowledge Acquisition and Completion for Long-Term Human-Robot Interactions Using Knowledge Graph Embedding, Bartoli, Ermanno, Argenziano Francesco, Suriani Vincenzo, and Nardi Daniele , Volume {False}, Number {False}, p.241-253, (2023)
Knowledge Acquisition and Completion for Long-Term Human-Robot Interactions Using Knowledge Graph Embedding, Bartoli, Ermanno, Argenziano Francesco, Suriani Vincenzo, and Nardi Daniele , Volume {False}, Number {False}, p.241-253, (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)
A NEW APPROACH TO DETECTING AND PREVENTING POPULATIONS STAGNATION THROUGH DYNAMIC CHANGES IN MULTI-POPULATION-BASED ALGORITHMS, Lapa, K., Rutkowska D., Byrski A., and Napoli C. , JOURNAL OF ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING RESEARCH, Volume {13}, Number {4}, p.289-306, (2023)
A Novel ConvMixer Transformer Based Architecture for Violent Behavior Detection, Alfarano, A., De Magistris G., Mongelli L., Russo S., Starczewski J., and Napoli C. , Volume {14126}, Number {False}, p.3-16, (2023)
Photometric LiDAR and RGB-D Bundle Adjustment, Di Giammarino, Luca, Giacomini Emanuele, Brizi Leonardo, Salem Omar, and Grisetti Giorgio , IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {8}, Number {7}, p.4362-4369, (2023)
Photometric LiDAR and RGB-D Bundle Adjustment, Di Giammarino, Luca, Giacomini Emanuele, Brizi Leonardo, Salem Omar, and Grisetti Giorgio , IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {8}, Number {7}, p.4362-4369, (2023)
Play Everywhere: A Temporal Logic based Game Environment Independent Approach for Playing Soccer with Robots, Suriani, V, Musumeci E, Nardi D, and Bloisi D. D. , Volume {False}, Number {False}, p.False-False, (2023)
Scalable and Cooperative Deep Reinforcement Learning Approaches for Multi-UAV Systems: A Systematic Review, Frattolillo, Francesco, Brunori Damiano, and Iocchi Luca , DRONES, Volume {7}, Number {4}, p.236-False, (2023)
Scalable and Cooperative Deep Reinforcement Learning Approaches for Multi-UAV Systems: A Systematic Review, Frattolillo, Francesco, Brunori Damiano, and Iocchi Luca , DRONES, Volume {7}, Number {4}, p.236-False, (2023)
Speech Act Classification in Collaborative Robotics, Kaszuba, Sara, Sabbella Sandeep Reddy, Leotta Francesco, and Nardi Daniele , Volume {False}, Number {False}, p.2169-2175, (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)
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)
Structural Pruning for Real-Time Multi-Object Detection on NAO Robots, Specchi, G., Suriani V., Brienza M., Laus F., Maiorana F., Pennisi A., Nardi D., , and D. D. , 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)
Unsupervised Pose Estimation by Means of an Innovative Vision Transformer, Brandizzi, N., Fanti A., Gallotta R., Russo S., Iocchi L., Nardi D., and Napoli C. , Volume {13589}, Number {False}, p.3-20, (2023)
Unsupervised Pose Estimation by Means of an Innovative Vision Transformer, Brandizzi, N., Fanti A., Gallotta R., Russo S., Iocchi L., Nardi D., and Napoli C. , Volume {13589}, Number {False}, p.3-20, (2023)
Unsupervised Pose Estimation by Means of an Innovative Vision Transformer, Brandizzi, N., Fanti A., Gallotta R., Russo S., Iocchi L., Nardi D., and Napoli C. , Volume {13589}, Number {False}, p.3-20, (2023)
Virtual Reality Applications for Enhancing Human-Robot Interaction, Sabbella, Sandeep Reddy, Kaszuba Sara, Leotta Francesco, and Nardi Daniele , Volume {23}, Number {False}, p.1-4, (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)

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