Major food adulteration and contamination events seem to occur with some regularity, such
as the widely publicised adulteration of milk products with melamine and the recent …

Functional magnetic resonance imaging (fMRI) exploits blood‐oxygen‐level‐dependent
(BOLD) contrasts to map neural activity associated with a variety of brain functions including …

The curse of dimensionality plagues models of reinforcement learning and decision making.
The process of abstraction solves this by constructing variables describing features shared …

Abstract Partial Least Squares-Discriminant Analysis (PLS-DA) is a PLS regression method
with a special binary 'dummy'y-variable and it is commonly used for classification purposes …

We explore the framework of permutation-based p-values for assessing the performance of
classifiers. In this paper we study two simple permutation tests. The first test assess whether …

Classifying groups of individuals based on their metabolic profile is one of the main topics in
metabolomics research. Due to the low number of individuals compared to the large number …

Importance Electroconvulsive therapy (ECT) is one of the most effective treatments for
severe depression. However, biomarkers that accurately predict a response to ECT remain …

Schizophrenia is a severe mental disorder that affects 0.5–1% of the population worldwide.
Current diagnostic methods are based on psychiatric interviews, which are subjective in …

Treatment management for Major Depressive Disorder (MDD) has been challenging.
However, electroencephalogram (EEG)-based predictions of antidepressant's treatment …

Deep brain stimulation of the subthalamic nucleus improves motor functions in patients
suffering from advanced Parkinson's disease but in some patients, it is also associated with …