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. Dublin City University and Partners' Participation in the INS and VTT Tracks at TRECVid 2016. In TRECVID Workshop 2016. Gaithersburg, MD, USA; 2016.
. Smart Bus Stops: AI-Driven Public Transport Optimization. In 12th International Congress on Transportation Research. Thessaloniki, Greece; 2025.
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. A closed-loop approach for tracking a humanoid robot using particle filtering and depth data. Intelligent Service Robotics. 2017;10(4):297–312.
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. 3D Shape Reconstruction from a Humanoid Generated Video Sequence. In IEEE International Conference on Humanoid Robots. Madrid; 2014.
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. Content-based Video Summarisation to Object Maps. . 2013.
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. Picking groups instead of samples: A close look at Static Pool-based Meta-Active Learning. In ICCV Workshop - MDALC 2019. Seoul, South Korea; 2019.
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. Generative Moment Matching Networks for Genotype Simulation. In 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22). 2022.
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. Open-Ended Visual Question-Answering. . 2016.
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. Towards Automatic Generation of Question Answer Pairs from Images. Las Vegas, NV, USA: Visual Question Answering Challenge Workshop, CVPR 2016; 2016 .
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. Insight Centre for Data Analytics (DCU) at TRECVid 2014: Instance Search and Semantic Indexing Tasks. In 2014 TRECVID Workshop. Orlando, Florida (USA): National Institute of Standards and Technology (NIST); 2014.
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. Insight DCU at TRECVID 2015. In TRECVID 2015 Workshop. Gaithersburg, MD, USA: NIST; 2015.
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. Comparison of Conventional Machine Learning and Convolutional Deep Learning models for Seagrass Mapping using Satellite Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2025;:1-19.
. Generación de mapas de comunidades y hábitats bentónicos mediante el modelo Deep Learning U-Net utilizando imágenes satelitales multiespectrales de muy alta resolución. In XX Congreso de la Asociación Española de Teledetección. Cádiz, España: Universidad de Cádiz; 2024.
. Visual Summary of Egocentric Photostreams by Representative Keyframes. . 2015.
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. QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation--Analysis of Ranking Metrics and Benchmarking Results. Journal of Machine Learning for Biomedical Imaging. 2022;.
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. Exploring Visual Representations for Sign Language Translation. . 2022.
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