Abstract Machine learning (ML) is increasingly used in cognitive, computational and clinical
neuroscience. The reliable and efficient application of ML requires a sound understanding of …

Purpose Noise-induced hearing loss (NIHL) is a global issue that impacts people's life and
health. The current review aims to clarify the contributions and limitations of applying …

Temporal distribution shift negatively impacts the performance of clinical prediction models
over time. Pretraining foundation models using self-supervised learning on electronic health …

Many animals rely on long-form communication, in the form of songs, for vital functions such
as mate attraction and territorial defence. We explored the prospect of improving automatic …

Importance Early identification of the likelihood of autism spectrum disorder (ASD) using
minimal information is crucial for early diagnosis and intervention, which can affect …

In this note, I study how the precision of a binary classifier depends on the ratio r of positive
to negative cases in the test set, as well as the classifier's true and false-positive rates. This …

Every second, thousands of credit or debit card transactions are processed in financial
institutions. This extensive amount of data and its sequential nature make the problem of …

The volume of e-commerce continues to increase year after year. Buying goods on the
internet is easy and practical, and took a huge boost during the lockdowns of the Covid …

The state-of-the-art feature-engineering method for fraud classification of electronic
payments uses manually engineered feature aggregates, ie, descriptive statistics of the …

Fraud detection systems (FDS) mainly perform two tasks:(i) real-time detection while the
payment is being processed and (ii) posterior detection to block the card retrospectively and …