Publications

Export 1204 results:
Author Title Type [ Year(Asc)]
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)
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)
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)
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 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)
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)
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)
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)
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)
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)
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)
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
Adaptive Team Behavior Planning using Human Coach Commands, Musumeci, Emanuele, Suriani Vincenzo, Antonioni Emanuele, Nardi Daniele, and Bloisi Domenico Daniele , Volume {False}, Number {False}, p.False-False, (2022)
Addressing Vehicle Sharing through Behavioral Analysis: A Solution to User Clustering Using Recency-Frequency-Monetary and Vehicle Relocation Based on Neighborhood Splits, Brandizzi, N., Russo S., Galati G., and Napoli C. , INFORMATION, Volume {13}, Number {11}, p.511-False, (2022)
Analysis pre and post covid-19 pandemic rorschach test data of using em algorithms and gmm models, Ponzi, Valerio, Russo Samuele, Agata Wajda, Rafa Brociek, and Napoli Christian , Volume {3360}, Number {False}, p.55-63, (2022)
Analysis pre and post covid-19 pandemic rorschach test data of using em algorithms and gmm models, Ponzi, Valerio, Russo Samuele, Agata Wajda, Rafa Brociek, and Napoli Christian , Volume {3360}, Number {False}, p.55-63, (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)
An Automatic CNN-based Face Mask Detection Algorithm Tested During the COVID-19 Pandemics, De Magistris, G., Iacobelli E., Brociek R., and Napoli C. , Volume {3398}, Number {False}, p.36-41, (2022)
A Comparative Study of Machine Learning Approaches for Autism Detection in Children from Imaging Data, Ponzi, V., Russo S., Wajda A., and Napoli C. , Volume {3398}, Number {False}, p.9-15, (2022)
DCPCR: Deep Compressed Point Cloud Registration in Large-Scale Outdoor Environments, Wiesmann, L., Guadagnino T., Vizzo I., Grisetti G., Behley J., and Stachniss C. , IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {7}, Number {3}, p.6327-6334, (2022)
DCPCR: Deep Compressed Point Cloud Registration in Large-Scale Outdoor Environments, Wiesmann, L., Guadagnino T., Vizzo I., Grisetti G., Behley J., and Stachniss C. , IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {7}, Number {3}, p.6327-6334, (2022)
DCPCR: Deep Compressed Point Cloud Registration in Large-Scale Outdoor Environments, Wiesmann, L., Guadagnino T., Vizzo I., Grisetti G., Behley J., and Stachniss C. , IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {7}, Number {3}, p.6327-6334, (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)
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)
An Explainable Fake News Detector Based on Named Entity Recognition and Stance Classification Applied to COVID-19, DE MAGISTRIS, Giorgio, Russo Samuele, Roma Paolo, Starczewski Janusz T., and Napoli Christian , INFORMATION, Volume {13}, Number {3}, p.False-False, (2022)
An Explainable Fake News Detector Based on Named Entity Recognition and Stance Classification Applied to COVID-19, DE MAGISTRIS, Giorgio, Russo Samuele, Roma Paolo, Starczewski Janusz T., and Napoli Christian , INFORMATION, Volume {13}, Number {3}, p.False-False, (2022)
An Explainable Fake News Detector Based on Named Entity Recognition and Stance Classification Applied to COVID-19, DE MAGISTRIS, Giorgio, Russo Samuele, Roma Paolo, Starczewski Janusz T., and Napoli Christian , INFORMATION, Volume {13}, Number {3}, p.False-False, (2022)
An Explainable Fake News Detector Based on Named Entity Recognition and Stance Classification Applied to COVID-19, DE MAGISTRIS, Giorgio, Russo Samuele, Roma Paolo, Starczewski Janusz T., and Napoli Christian , INFORMATION, Volume {13}, Number {3}, p.False-False, (2022)
An Explainable Fake News Detector Based on Named Entity Recognition and Stance Classification Applied to COVID-19, DE MAGISTRIS, Giorgio, Russo Samuele, Roma Paolo, Starczewski Janusz T., and Napoli Christian , INFORMATION, Volume {13}, Number {3}, 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)
Fall Detection using NAO Robot Pose Estimation in RoboCup SPL Matches, Zampino, Cristian, Biancospino Flavio, Brienza Michele, Laus Francesco, Di Stefano Gianluca, Romano Rocchina, Pennisi Andrea, Suriani Vincenzo, and Bloisi Domenico Daniele , Volume {False}, Number {False}, p.False-False, (2022)

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