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03/29/2022
TransductGAN: a Transductive Adversarial Model for Novelty Detection
Novelty detection, a widely studied problem in machine learning, is the ...
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03/11/2021
A hierarchical Bayesian model to find brain-behaviour associations in incomplete data sets
Canonical Correlation Analysis (CCA) and its regularised versions have b...
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05/26/2019
ABCD Neurocognitive Prediction Challenge 2019: Predicting individual residual fluid intelligence scores from cortical grey matter morphology
We predicted residual fluid intelligence scores from T1-weighted MRI dat...
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05/26/2019
ABCD Neurocognitive Prediction Challenge 2019: Predicting individual fluid intelligence scores from structural MRI using probabilistic segmentation and kernel ridge regression
We applied several regression and deep learning methods to predict fluid...
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12/06/2018
Finding the needle in high-dimensional haystack: A tutorial on canonical correlation analysis
Since the beginning of the 21st century, the size, breadth, and granular...
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04/30/2018