The comprehensive evaluation of the performance of a recommender system is a complex
endeavor: many facets need to be considered in configuring an adequate and effective …

Artificial intelligence and machine learning techniques are breaking into biomedical
research and health care, which importantly includes cancer research and oncology, where …

Deep reinforcement learning (RL) algorithms are predominantly evaluated by comparing
their relative performance on a large suite of tasks. Most published results on deep RL …

Scientists often adjust their significance threshold (alpha level) during null hypothesis
significance testing in order to take into account multiple testing and multiple comparisons …

Species distribution models (SDMs) constitute the most common class of models across
ecology, evolution and conservation. The advent of ready‐to‐use software packages and …

Reproducible science requires transparent reporting. The ARRIVE guidelines (Animal
Research: Reporting of In Vivo Experiments) were originally developed in 2010 to improve …

Regressions and meta-regressions are widely used to estimate patterns and effect sizes in
various disciplines. However, many biological and medical analyses use relatively low …

Management journals are currently responding to challenges raised by the “replication
crisis” in experimental social psychology, leading to new standards for transparency. These …

Context-dependent biological variation presents a unique challenge to the reproducibility of
results in experimental animal research, because organisms' responses to experimental …

About 75% of the world's energy consumption takes place in cities. Although their large
energy consumption attracts a large number of research projects, only a small fraction of …