Publications

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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)
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)
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 , 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)
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Companion Robots: the Hallucinatory Danger of Human-Robot Interactions, Lucidi, Piercosma Bisconti, and Nardi Daniele , 12, p.17-22, (2018)
Companion Robots: The Hallucinatory Danger of Human-Robot Interactions, P. Lucidi, Bisconti, and Nardi D. , Volume {False}, Number {False}, 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)
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)
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)
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)
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 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)
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. , 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)
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 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)
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)
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)
A self-interpretable module for deep image classification on small data, La Rosa, B, Capobianco R, and Nardi D , APPLIED INTELLIGENCE, Volume {False}, Number {False}, p.False-False, (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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