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12/08/2022
Transformer-based normative modelling for anomaly detection of early schizophrenia
Despite the impact of psychiatric disorders on clinical health, early-st...
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11/04/2020
Causal Autoregressive Flows
Two apparently unrelated fields – normalizing flows and causality – have...
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07/20/2020
Bayesian optimization for automatic design of face stimuli
Investigating the cognitive and neural mechanisms involved with face pro...
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10/08/2019
Analysis of an Automated Machine Learning Approach in Brain Predictive Modelling: A data-driven approach to Predict Brain Age from Cortical Anatomical Measures
The use of machine learning (ML) algorithms has significantly increased ...
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08/05/2019
Interpretable brain age prediction using linear latent variable models of functional connectivity
Neuroimaging-driven prediction of brain age, defined as the predicted bi...
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05/01/2016
Text-mining the NeuroSynth corpus using Deep Boltzmann Machines
Large-scale automated meta-analysis of neuroimaging data has recently es...
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11/24/2015
Stopping criteria for boosting automatic experimental design using real-time fMRI with Bayesian optimization
Bayesian optimization has been proposed as a practical and efficient too...
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11/06/2015
Streaming regularization parameter selection via stochastic gradient descent
We propose a framework to perform streaming covariance selection. Our ap...
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02/08/2015