Context: Software engineering researchers have undertaken many experiments
investigating the potential of software defect prediction algorithms. Unfortunately some …

The significant momentum and importance of Mining Software Repositories (MSR) in
Software Engineering (SE) has fostered new opportunities and challenges for extensive …

Hydrocarbon (re‐) development projects need to be evaluated under uncertainty.
Forecasting oil and gas production needs to capture the ranges of the multitude of uncertain …

Digital visual data afford psychologists with exciting research possibilities. It becomes
possible to see real-life interactions in real time and to be able to analyze this behavior in a …

Binary classification is a fundamental task in machine learning, with applications spanning
various scientific domains. Whether scientists are conducting fundamental research or …

Addressing the reproducibility crisis in artificial intelligence through the validation of reported
experimental results is a challenging task. It necessitates either the reimplementation of …

Software engineering (SE) techniques are increasingly relying on deep learning
approaches to support many SE tasks, from bug triaging to code generation. To assess the …

In the domain of predictive maintenance, when trying to repli-cate and compare research in
remaining useful life estimation (RUL), several inconsistencies and errors were identified in …

ATAC-seq, ChIP-seq, and DNase-seq have revolutionised molecular biology by allowing
researchers to identify important DNA-encoded elements genome-wide. Regions where …

The drug discovery pipeline is time consuming and expensive for both industry and
academia. Molecular docking, is an efficient method which succeeds when generating …