Publications

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Fast robust monocular depth estimation for Obstacle Detection with fully convolutional networks, Mancini, Michele, Costante Gabriele, Valigi Paolo, and A. Thomas Ciarfuglia , Volume {2016-}, Number {False}, p.4296-4303, (2016)
J-MOD2: Joint Monocular Obstacle Detection and Depth Estimation, Mancini, Michele, Costante Gabriele, Valigi Paolo, and Ciarfuglia Thomas Alessandro , IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {3}, Number {3}, p.1490-1497, (2018)
Toward Domain Independence for Learning-Based Monocular Depth Estimation, Mancini, Michele, Costante Gabriele, Valigi Paolo, Ciarfuglia Thomas A., Delmerico Jeffrey, and Scaramuzza Davide , IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {2}, Number {3}, p.1778-1785, (2017)
J-MOD2: Joint Monocular Obstacle Detection and Depth Estimation, Mancini, Michele, Costante Gabriele, Valigi Paolo, and Ciarfuglia Thomas Alessandro , IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {3}, Number {3}, p.1490-1497, (2018)
J-MOD2: Joint Monocular Obstacle Detection and Depth Estimation, Mancini, Michele, Costante Gabriele, Valigi Paolo, and Ciarfuglia Thomas Alessandro , IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {3}, Number {3}, p.1490-1497, (2018)
J-MOD2: Joint Monocular Obstacle Detection and Depth Estimation, Mancini, Michele, Costante Gabriele, Valigi Paolo, and Ciarfuglia Thomas Alessandro , IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {3}, Number {3}, p.1490-1497, (2018)
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)
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)
Auto-SEIA: Simultaneous optimization of image processing and machine learning algorithms, Maggio, Valentina Negro, and Iocchi Luca , Volume {9445}, Number {False}, p.False-False, (2015)
Auto-SEIA: Simultaneous optimization of image processing and machine learning algorithms, Maggio, Valentina Negro, and Iocchi Luca , Volume {9445}, Number {False}, p.False-False, (2015)
Auto-SEIA: Simultaneous optimization of image processing and machine learning algorithms, Maggio, Valentina Negro, and Iocchi Luca , Volume {9445}, Number {False}, p.False-False, (2015)
Auto-SEIA: simultaneous optimization of image processing and machine learning algorithms, Maggio, Valentina Negro, and Iocchi Luca , Proc. SPIE, Volume 9445, p.94450X-94450X-5, (2015)
Auto-SEIA: Simultaneous optimization of image processing and machine learning algorithms, Maggio, Valentina Negro, and Iocchi Luca , Volume {9445}, Number {False}, p.False-False, (2015)
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Companion Robots: The Hallucinatory Danger of Human-Robot Interactions, P. Lucidi, Bisconti, and Nardi D. , Volume {False}, Number {False}, p.17-22, (2018)
Companion Robots: the Hallucinatory Danger of Human-Robot Interactions, Lucidi, Piercosma Bisconti, and Nardi Daniele , 12, p.17-22, (2018)
Medication Adherence in Chronic Older Patients: An Italian Observational Study Using Medication Adherence Report Scale (MARS-5I), Liquori, G., De Leo A., Di Simone E., Dionisi S., Giannetta N., Ganci E., Trainito S. P., Orsi G. B., Di Muzio M., and Napoli C. , INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, Volume {19}, Number {9}, p.1-11, (2022)
RoCKIn Innovation Through Robot Competitions [Competitions], Lima, P., Nardi Daniele, Kraetzschmar G., Berghofer J., Matteucci M., and Buchanan G. , Robotics Automation Magazine, IEEE, June, Volume 21, Number 2, p.8-12, (2014)
Improving the performance of complex agent plans through reinforcement learning, Leonetti, M., and Iocchi L. , Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems, Volume 1, p.723–730, (2010)
A synthesis of automated planning and reinforcement learning for efficient, robust decision-making, Leonetti, Matteo, Iocchi Luca, and Stone Peter , ARTIFICIAL INTELLIGENCE, Volume {241}, Number {False}, p.103-130, (2016)
Reinforcement Learning through Global Stochastic Search in N-MDPs, Leonetti, M., Iocchi L., and Ramamoorthy S. , Machine Learning and Knowledge Discovery in Databases, Volume 6912, p.326-340, (2011)
Reinforcement Learning in Plan Space, Leonetti, M. , Rome, Italy, (2010)
A synthesis of automated planning and reinforcement learning for efficient, robust decision-making, Leonetti, Matteo, Iocchi Luca, and Stone Peter , ARTIFICIAL INTELLIGENCE, Volume {241}, Number {False}, p.103-130, (2016)
Induction and Learning of Finite-State Controllers from Simulation, Leonetti, M., Iocchi L., and Ramamoorthy S. , Proceedings of 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012), (2012)
Automatic Generation and Learning of Finite-State Controllers, Leonetti, M., Iocchi L., and Patrizi Fabio , Artificial Intelligence: Methodology, Systems, and Applications, Volume 7557, p.135-144, (2012)
A synthesis of automated planning and reinforcement learning for efficient, robust decision-making, Leonetti, Matteo, Iocchi Luca, and Stone Peter , ARTIFICIAL INTELLIGENCE, Volume {241}, Number {False}, p.103-130, (2016)
Rappresentazione di piani con scelte ed azioni stocastiche, Leonetti, M. , (2005)
LearnPNP: A Tool for Learning Agent Behaviors, Leonetti, M., and Iocchi L. , RoboCup 2010: Robot Soccer World Cup XIV, p.418-429, (2011)
A synthesis of automated planning and reinforcement learning for efficient, robust decision-making, Leonetti, Matteo, Iocchi Luca, and Stone Peter , ARTIFICIAL INTELLIGENCE, Volume {241}, Number {False}, p.103-130, (2016)
Task-oriented conversational agent self-learning based on sentiment analysis, Leggeri, S., Esposito A., and Iocchi L. , Volume {2244}, Number {False}, p.4-15, (2018)
Task-oriented Conversational Agent Self-learning Based on Sentiment Analysis, Leggeri, Serena, Esposito Andrea, and Iocchi Luca , (2018)
Dynamic Window Indoor Navigation for a Quadrotor Using RGBD Sensor, Lee, Daewon, Di Cicco Maurilio, Grisetti Giorgio, and Lee Daniel , Volume {False}, Number {False}, p.False-False, (2016)
A Lightweight Navigation System for Mobile Robots, Lázaro, M. T., Grisetti G., Iocchi L., Fentanes J. P., and Hanheide M. , Volume {694}, Number {False}, p.295-306, (2018)
A lightweight navigation system for mobile robots, Lázaro, M. T., Grisetti G., Iocchi L., Fentanes J. P., and Hanheide M. , Proc. of Third Iberian Robotics Conference (ROBOT 2017), Nov 22-24, Sevilla, Spain, (2017)
A Lightweight Navigation System for Mobile Robots, Lázaro, M. T., Grisetti G., Iocchi L., Fentanes J. P., and Hanheide M. , Volume {694}, Number {False}, p.295-306, (2018)
Efficient Long-term Mapping in Dynamic Environments, Lázaro, M. T., Capobianco R., and Grisetti G. , Volume {False}, Number {False}, p.153-160, (2018)
A Lightweight Navigation System for Mobile Robots, Lázaro, M. T., Grisetti G., Iocchi L., Fentanes J. P., and Hanheide M. , Volume {694}, Number {False}, p.295-306, (2018)
Multi-Robot SLAM using Condensed Measurements, Lázaro, M. T., Paz L. M., Piniés P., Castellanos J. A., and Grisetti G. , IEEE/RSJ International Conference on Intelligent Robots and Systems, (2013)
Efficient long-term mapping in dynamic environments, Lázaro, María T., Capobianco Roberto, and Grisetti Giorgio , 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), p.153–160, (2018)
A Lightweight Navigation System for Mobile Robots, Lázaro, M. T., Grisetti G., Iocchi L., Fentanes J. P., and Hanheide M. , Volume {694}, Number {False}, p.295-306, (2018)
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)
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)
Explainable inference on sequential data via memory-tracking, La Rosa, Biagio, Capobianco Roberto, and Nardi Daniele , Volume {False}, Number {False}, p.False-False, (2020)
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)
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)
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)
Explainable Inference on Sequential Data via Memory-Tracking, La Rosa, Biagio, Capobianco Roberto, and Nardi Daniele , Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI), (2020)
Explainable inference on sequential data via memory-tracking, La Rosa, Biagio, Capobianco Roberto, and Nardi Daniele , Volume {False}, Number {False}, p.False-False, (2020)

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