An end-to-end Adaptive AI-Assisted 3H Care (A3C) system
The proposal covers both the assessment and intervention for 3H patients. The system periodically assesses…
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Deep Generative Modelling of Epigenomics Data
DNA modifications contribute to diseases such as cancer and it has been found to be…
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ESCAI: Efficient and Secure Collaborative AI
Collaborative (federated) machine learning has recently emerged as a promising approach for building machine learning…
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InnoBrain for Artificial Creativity
AI is underdeveloped for creative ideation at the fuzzy front end of innovation processes. We…
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Reflective Intelligence Amplification: Tackling Wicked Problems Through Dynamic Search Space Exploration
The research objective is to develop a Reflective Intelligence Amplification method that is able to…
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Assistive AI with Artificial Theories of Mind and Body
Although providing appropriate assistance is commonplace task for humans, it remains a significant challenge for…
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Explaining AI with the Right Level of Abstraction
Despite the exceptional performance of Deep Neural Networks, it is important that we develop “explainable…
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Learning To Anticipate Human Actions That Happen In The Next One To Five Seconds Using Self-Regularised Future Content Generation For Human-Robotic Engagement
Our ability to anticipate the behaviour of others comes naturally to us. For example, an…
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New Directions in Adversarial Machine Learning: From Theory to Applications
Systems supported by machine learning (ML) algorithms have brought significant benefit to our daily life….
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Noisy distributed learning on noisy data: A unified mathematical framework for dealing with arbitrary noise
The goal of this project is to develop a unified mathematical framework for dealing with…
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Towards Improved Grammatical Error Correction
Grammatical error correction (GEC) deals with automatically correcting errors in written texts, including grammatical, spelling,…
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Advancing Dense Prediction Methods for Visual Scene Understanding
The task of visual scene understanding is to develop computer algorithms for automatically understanding and…
