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techniques for annotation, active learning (based on either deep learning or Bayesian learning), semi-supervised learning, transfer learning, imitation learning, etc., aiming to ensure the data and models
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initiate an application, all in one place. Browse Research projects Supervisors Login Recently added Bayesian Generative AI Explainability and Compact representation of K-MDPs Creating a 21st Century
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. Butler, C. Goncu, and L. Holloway. Tactile presentation of network data: Text, matrix or diagram? In CHI2020, pages 1–12, 2020. I. Zukerman et al.˙Exploratory Interaction with a Bayesian Argumentation
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companies, aiming to address the increasing concern of misleading information and disinformation on the internet. The main objective of C2PA is to establish a standardized approach for digital content
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-page Research Summary outlining your mission Cover letter addressing your experience in the 3 following areas: Demonstrated skills in statistical analysis and manuscript preparation, with a track record
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, Education, Health Promotion, Digital Health, Information Technology. Demonstrated experience or a strong understanding of developing digital health solutions. A track-record in conducting high quality
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videos to synchronize mouth movements with a provided audio track. Puppet-master deepfakes depict a target person (the puppet) whose facial expressions, eye movements, and head gestures mimic those
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For over a century, X-rays have been used to visualise the internal structure of opaque objects, driving major breakthroughs in healthcare, industry, and scientific research. Conventional X-ray
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results in a broad range of indoor applications including emergency services, public services, in-store advertising, shopping, tracking, guided tours, and much more. In this project, we are interested in
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data, such as temporal dependencies and lack of rich semantic make it challenging to leverage these models directly for time series tasks. Building upon our exisiting research [1], our objective is to