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Predicting protein functions by dynamic programming and machine learning
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Final Dissertation Project: In-depth Study of Generative Adversarial Networks for Face Aging
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Final Year Project where the aim is to create generate best counterfactuals using Siamese Neural Networks to explain AI decisions. The counterfactual generator will be pitted against the current best generators and evaluated.
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Starting from handwritten sequences of strokes representing digits and symbols of mathematical expressions, a tiny Transformer is built to learn a mapping between the stroke sequence and the postfix notation of the expression itself
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