Machine Learning

Building new methods with Bayesian Optimization

Exploring Bayesian Optimization as a tool for exploitation of configurational spaces in Neuroscience

Relevance Vector Machine

A scikit-learn style implementation of Tippings's RVM algorithm.

Brain-Age Problem

Deploying classical ML models for very-high-dimensional data. Top-10 on PAC2019 competition.

Brain age prediction: A comparison between machine learning models using region- and voxel-based morphometric data

Brain morphology varies across the ageing trajectory and the prediction of a person's age using brain features can aid the detection of abnormalities in the ageing process. Existing studies on such “brain age prediction” vary widely in terms of their …

Bayesian Optimization for real-time, automatic design of face stimuli in human-centred research

Investigating the cognitive and neural mechanisms involved with face processing is a fundamental task in modern neuroscience and psychology. To date, the majority of such studies have focused on the use of pre-selected stimuli. The absence of …

Brain-Age Prediction Using Shallow Machine Learning: Predictive Analytics Competition 2019

As we age, our brain structure changes and our cognitive capabilities decline. Although brain aging is universal, rates of brain aging differ markedly, which can be associated with pathological mechanism of psychiatric and neurological diseases. …