Publications
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Author [ Title] Type Year Filters: First Letter Of Last Name is N [Clear All Filters]
A context-driven privacy enforcement system for autonomous media capture devices,
, MULTIMEDIA TOOLS AND APPLICATIONS, Volume {78}, Number {10}, p.14091-14108, (2019)
A context-driven privacy enforcement system for autonomous media capture devices,
, MULTIMEDIA TOOLS AND APPLICATIONS, Volume {78}, Number {10}, p.14091-14108, (2019)
Contexts for Symbiotic Autonomy: Semantic Mapping, Task Teaching and Social Robotics,
, Volume {False}, Number {False}, p.733-736, (2016)
Contexts for Symbiotic Autonomy: Semantic Mapping, Task Teaching and Social Robotics,
, Volume {False}, Number {False}, p.733-736, (2016)
Contextual Navigation and Mapping for Rescue Robots,
, Proceedings of {IEEE} Int. Workshop on Safety, Security & Rescue Robotics ({SSRR}), Sendai, Japan, p.19–24, (2008)
Contextual Navigation and Mapping for Rescue Robots,
, Proceedings of {IEEE} Int. Workshop on Safety, Security & Rescue Robotics ({SSRR}), oct, Sendai, Japan, p.19–24, (2008)
Contextual Navigation and Mapping for Rescue Robots,
, Proceedings of {IEEE} Int. Workshop on Safety, Security & Rescue Robotics ({SSRR}), Sendai, Japan, p.19–24, (2008)
Contextualization in Mobile Robots,
, (2007)
Contextualization in Mobile Robots,
, (2007)
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)
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)
Cooperative Exploration for USAR Robots with Indirect Communication,
, 6th IFAC Symposium on Intelligent Autonomous Vehicles (2007), Intelligent Autonomous Vehicles, Volume 6, Part 1, (2007)
Cooperative Exploration for USAR Robots with Indirect Communication,
, 6th IFAC Symposium on Intelligent Autonomous Vehicles (2007), Intelligent Autonomous Vehicles, Volume 6, Part 1, (2007)
Cooperative Multi-agent Deep Reinforcement Learning in a 2 Versus 2 Free-Kick Task,
, Volume {11531}, Number {False}, p.44-57, (2019)
Cooperative multi-agent deep reinforcement learning in soccer domains,
, Volume {4}, Number {False}, p.1865-1867, (2019)
Cooperative multi-agent deep reinforcement learning in soccer domains,
, Volume {4}, Number {False}, p.1865-1867, (2019)
Cooperative multi-agent deep reinforcement learning in soccer domains,
, Volume {4}, Number {False}, p.1865-1867, (2019)
Cooperative situation assessment in a maritime scenario,
, International Journal of Intelligent Systems, Volume 27, Number 5, p.477–501, (2012)
Cooperative Strategy for Optimal Management of Smart Grids by Wavelet RNNs and Cloud Computing,
, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, Volume {27}, Number {8}, p.1672-1685, (2016)
Cooperative Strategy for Optimal Management of Smart Grids by Wavelet RNNs and Cloud Computing,
, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, Volume {27}, Number {8}, p.1672-1685, (2016)
Coordination among heterogenous robotic soccer players,
, Volume 2, p.1385–1390, (2000)
Coordination among heterogenous robotic soccer players,
, IROS00, Volume 2, p.1385–1390, (2000)
Coordination and Cooperation in Robot Soccer,
, International Conference on Computational Collective Intelligence, p.215–227, (2021)
Coordination and Cooperation in Robot Soccer,
, Volume {False}, Number {False}, p.215-227, (2021)
Coordination in multi-agent autonomous cognitive robotic systems,
, Proceedings of the Second Int. Cognitive Robotics Workshop (Cogrob2000), p.12–16, (2000)
Coordination in multi-agent autonomous cognitive robotic systems,
, Proceedings of the Second Int. Cognitive Robotics Workshop (Cogrob2000), p.12–16, (2000)
Coordination in multi-agent RoboCup teams,
, Robotics and Autonomous Systems, Volume 36, p.67–86, (2001)
Counterfactual Reasoning about Intent for Interactive Navigation in Dynamic Environments,
, IEEE/RSJ International Conference on Intelligent Robots and Systems, p.2943-2950, (2015)
Crop and Weed Classification Using Pixel-wise Segmentation on Ground and Aerial Images,
, International Journal of Robotic Computing, Volume 2, Number 1, p.39–57, (2020)
Crop and Weeds Classification for Precision Agriculture Using Context-Independent Pixel-Wise Segmentation,
, 2019 Third IEEE International Conference on Robotic Computing (IRC), p.146-152, (2019)
Crop and Weeds Classification for Precision Agriculture Using Context-Independent Pixel-Wise Segmentation,
, Volume {False}, Number {False}, p.146-152, (2019)
Crop and Weeds Classification for Precision Agriculture Using Context-Independent Pixel-Wise Segmentation,
, Volume {False}, Number {False}, p.146-152, (2019)
Crop and Weeds Classification for Precision Agriculture Using Context-Independent Pixel-Wise Segmentation,
, Volume {False}, Number {False}, p.146-152, (2019)
Crop and Weeds Classification for Precision Agriculture Using Context-Independent Pixel-Wise Segmentation,
, Volume {False}, Number {False}, p.146-152, (2019)
Crop and Weeds Classification for Precision Agriculture Using Context-Independent Pixel-Wise Segmentation,
, Volume {False}, Number {False}, p.146-152, (2019)
Crop and Weeds Classification for Precision Agriculture Using Context-Independent Pixel-Wise Segmentation,
, Volume {False}, Number {False}, p.146-152, (2019)
Crop and Weeds Classification for Precision Agriculture Using Context-Independent Pixel-Wise Segmentation,
, Volume {False}, Number {False}, p.146-152, (2019)
Data Augmentation Using GANs for Crop/Weed Segmentation in Precision Farming,
, IEEE Conference on Control Technology and Applications (CCTA 2020), (2020)
Data Augmentation Using GANs for Crop/Weed Segmentation in Precision Farming,
, Volume {False}, Number {False}, p.279-284, (2020)
Dealing with Perception Errors in Multi-Robot System Coordination,
, Proceedings of the Joint International Conference on Artificial Intelligence (IJCAI-07), Hyderabad, India, p.2091–2096, (2007)
A Decentralized Approach to Cooperative Situation Assessment in Multi-Robot Systems,
, Proceedings of 7th International Conference on Autonomous Agents and Multiagent Systems ({AAMAS}-08), May, Estoril, Portugal, p.31–38, (2008)
Deep Convolutional Pixel-wise Labeling for Skin Lesion Image Segmentation,
, Volume {False}, Number {False}, p.1-6, (2018)
A Deep Learning Approach for Object Recognition with NAO Soccer Robots,
, RoboCup 2016: Robot World Cup XX, p.392–403, (2017)
A Deep Learning Approach for Object Recognition with NAO Soccer Robots,
, Volume {9776}, Number {False}, p.392-403, (2017)
A Deep Learning Approach for Object Recognition with NAO Soccer Robots,
, Volume {9776}, Number {False}, p.392-403, (2017)
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)
The Description Logic Handbook: Theory, Implementation, and Applications,
, Description Logic Handbook, (2003)