Dr Zhongtian Sun is a Lecturer in the School of Computing at the University of Kent, specialising in Artificial Intelligence (AI) and Machine Learning (ML). Dr Sun is Mila Quebec AI Institute AI ...
🔍 A comprehensive collection of papers, datasets, and tools for AI-Generated Content (AIGC) detection research. This repository tracks research on detecting AI-generated content across image, video, ...
The practical adoption of deep learning in high-stakes forensic applications, such as dental age estimation, is often limited by the ‘black box’ nature of the models. This study introduces a framework ...
Melville Laboratory for Polymer Synthesis, Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Rd, Cambridge CB2 1EW, U.K. Melville Laboratory for Polymer Synthesis, Yusuf Hamied ...
Dimensionality reduction is a method used in machine learning and data science to reduce the dimensions in a dataset. While linear methods are generally less effective at dimensionality reduction than ...
There is a necessity to address the motivations for this project. TensorFlow is one of the deep learning frameworks available with the largest community. This repository is dedicated to suggesting a ...
Multifidelity Ensemble Kalman Filtering Using Surrogate Models Defined by Theory-Guided Autoencoders
Data assimilation is a Bayesian inference process that obtains an enhanced understanding of a physical system of interest by fusing information from an inexact physics-based model, and from noisy ...
Classification of electroencephalogram (EEG) is a key approach to measure the rhythmic oscillations of neural activity, which is one of the core technologies of brain-computer interface systems (BCIs) ...
Generating synthetic data is useful when you have imbalanced training data for a particular class, for example, generating synthetic females in a dataset of employees that has many males but few ...
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