Publications
A synthesis of automated planning and reinforcement learning for efficient, robust decision-making,
, ARTIFICIAL INTELLIGENCE, Volume {241}, Number {False}, p.103-130, (2016)
Improving the performance of complex agent plans through reinforcement learning,
, 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,
, ARTIFICIAL INTELLIGENCE, Volume {241}, Number {False}, p.103-130, (2016)
Reinforcement Learning through Global Stochastic Search in N-MDPs,
, Machine Learning and Knowledge Discovery in Databases, Volume 6912, p.326-340, (2011)
Reinforcement Learning in Plan Space,
, Rome, Italy, (2010)
A synthesis of automated planning and reinforcement learning for efficient, robust decision-making,
, ARTIFICIAL INTELLIGENCE, Volume {241}, Number {False}, p.103-130, (2016)
A synthesis of automated planning and reinforcement learning for efficient, robust decision-making,
, ARTIFICIAL INTELLIGENCE, Volume {241}, Number {False}, p.103-130, (2016)
Induction and Learning of Finite-State Controllers from Simulation,
, Proceedings of 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012), (2012)
RoCKIn Innovation Through Robot Competitions [Competitions],
, Robotics Automation Magazine, IEEE, June, Volume 21, Number 2, p.8-12, (2014)
Medication Adherence in Chronic Older Patients: An Italian Observational Study Using Medication Adherence Report Scale (MARS-5I),
, INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, Volume {19}, Number {9}, p.1-11, (2022)
Companion Robots: the Hallucinatory Danger of Human-Robot Interactions,
, 12, p.17-22, (2018)
Companion Robots: The Hallucinatory Danger of Human-Robot Interactions,
, Volume {False}, Number {False}, p.17-22, (2018)
Auto-SEIA: Simultaneous optimization of image processing and machine learning algorithms,
, Volume {9445}, Number {False}, p.False-False, (2015)
Auto-SEIA: Simultaneous optimization of image processing and machine learning algorithms,
, Volume {9445}, Number {False}, p.False-False, (2015)
Auto-SEIA: Simultaneous optimization of image processing and machine learning algorithms,
, Volume {9445}, Number {False}, p.False-False, (2015)
Auto-SEIA: Simultaneous optimization of image processing and machine learning algorithms,
, Volume {9445}, Number {False}, p.False-False, (2015)
Auto-SEIA: simultaneous optimization of image processing and machine learning algorithms,
, Proc. SPIE, Volume 9445, p.94450X-94450X-5, (2015)
Convergent Approaches to AI Explainability for HEP Muonic Particles Pattern Recognition,
, 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,
, COMPUTING AND SOFTWARE FOR BIG SCIENCE, Volume {7}, Number {1}, p.False-False, (2023)
Detection accuracy for evaluating compositional explanations of units,
, Volume {13196 LNAI}, Number {False}, p.550-563, (2022)
Detection accuracy for evaluating compositional explanations of units,
, Volume {13196 LNAI}, Number {False}, p.550-563, (2022)
Detection accuracy for evaluating compositional explanations of units,
, Volume {13196 LNAI}, Number {False}, p.550-563, (2022)
J-MOD2: Joint Monocular Obstacle Detection and Depth Estimation,
, IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {3}, Number {3}, p.1490-1497, (2018)
J-MOD2: Joint Monocular Obstacle Detection and Depth Estimation,
, 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,
, Volume {2016-}, Number {False}, p.4296-4303, (2016)
J-MOD2: Joint Monocular Obstacle Detection and Depth Estimation,
, IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {3}, Number {3}, p.1490-1497, (2018)
Toward Domain Independence for Learning-Based Monocular Depth Estimation,
, IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {2}, Number {3}, p.1778-1785, (2017)
J-MOD2: Joint Monocular Obstacle Detection and Depth Estimation,
, IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {3}, Number {3}, p.1490-1497, (2018)
Reducing Impact of Conflicting Data in DDFS by Using Second Order Knowledge,
, Artificial Intelligence: Theories, Models and Applications, Volume 6040, p.375-381, (2010)
Improving tracking by integrating reliability of multiple sources,
, Proceedings of the 11th International Conference on Information Fusion, p.1–8, (2008)
To believe or not to believe: Improving distributed data fusion with second order knowledge,
, (2009)
Improving tracking by integrating reliability of multiple sources,
, Proceedings of the 11th International Conference on Information Fusion, p.1–8, (2008)
A Comparative Analysis of Particle Filter based Localization Methods,
, RoboCup06-title, p.442–449, (2006)
To believe or not to believe: Improving distributed data fusion with second order knowledge,
, (2009)
The preventive health professions in Italy. The efficient use of resources, skills and best practice during the pandemic,
, HEALTHCARE, Volume {10}, Number {10}, p.1906-False, (2022)
Food labelling. Regulations and Public Health implications,
, ANNALI DI IGIENE MEDICINA PREVENTIVA E DI COMUNITÀ, Volume {30}, Number {3}, p.220-228, (2018)
An Integrated Control Plan in Primary Schools: Results of a Field Investigation on Nutritional and Hygienic Features in the Apulia Region (Southern Italy),
, NUTRIENTS, Volume {13}, Number {9}, p.1-14, (2021)
Safety in wine production. A pilot study on the quality evaluation of prosecco wine in the framework of ue regulation,
, INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, Volume {17}, Number {9}, p.1-10, (2020)
Official controls regarding artisanal ice cream shops. public health policies and consumer protection in the Italian and European legislative frameworks,
, ANNALI DI IGIENE MEDICINA PREVENTIVA E DI COMUNITÀ, Volume {31}, Number {1}, p.76-85, (2019)
A Methodology to Design and Evaluate HRI Teaming Tasks in Robotic Competitions,
, ACM TRANSACTIONS ON HUMAN-ROBOT INTERACTION, Volume {False}, Number {False}, p.1-22, (2022)
Benchmark Tests on Improved Merge for Big Data Processing,
, Volume {False}, Number {False}, p.96-101, (2015)
Deep learning-based pixel-wise lesion segmentation on oral squamous cell carcinoma images,
, APPLIED SCIENCES, Volume {10}, Number {22}, p.1-14, (2020)
Deep learning-based pixel-wise lesion segmentation on oral squamous cell carcinoma images,
, APPLIED SCIENCES, Volume {10}, Number {22}, p.1-14, (2020)
Hierarchical convolutional models for automatic pneumonia diagnosis based on X-ray images: new strategies in public health,
, ANNALI DI IGIENE MEDICINA PREVENTIVA E DI COMUNITÀ, Volume {33}, Number {6}, p.644-655, (2021)
Hierarchical convolutional models for automatic pneumonia diagnosis based on X-ray images: new strategies in public health,
, ANNALI DI IGIENE MEDICINA PREVENTIVA E DI COMUNITÀ, Volume {33}, Number {6}, p.644-655, (2021)
The psychological implications of companion robots: a theoretical framework and an experimental setup,
, INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS, Volume {False}, Number {False}, p.False-False, (2022)
RoboCup@ Home-Objects: benchmarking object recognition for home robots,
, Robot World Cup, p.397–407, (2019)
RoboCup@ Home-Objects: benchmarking object recognition for home robots,
, Volume {11531}, Number {False}, p.397-407, (2019)