Concrete, as the most widely used construction material, is inextricably connected with
human development. Despite conceptual and methodological progress in concrete science …

Computer-extracted tumour characteristics have been incorporated into medical imaging
computer-aided diagnosis (CAD) algorithms for decades. With the advent of radiomics, an …

The rapid increase in both the quantity and complexity of data that are being generated daily
in the field of environmental science and engineering (ESE) demands accompanied …

Advances in neuroimaging, genomic, motion tracking, eye-tracking and many other
technology-based data collection methods have led to a torrent of high dimensional …

Cross-validation is a widely used technique to estimate prediction error, but its behavior is
complex and not fully understood. Ideally, one would like to think that cross-validation …

The COVID-19 pandemia due to the SARS-CoV-2 coronavirus, in its first 4 months since its
outbreak, has to date reached more than 200 countries worldwide with more than 2 million …

Prediction models in health care use predictors to estimate for an individual the probability
that a condition or disease is already present (diagnostic model) or will occur in the future …

Minimizing bias is critical to adoption and implementation of machine learning (ML) in
clinical practice. Systematic mathematical biases produce consistent and reproducible …

Cross-validation is one of the most widely used data resampling methods for model
selection and evaluation. Cross-validation can be used to tune the hyperparameters of …

Data‐driven epoch, the development of machine learning (ML) in materials and device
design is an irreversible trend. Its ability and efficiency to handle nonlinear and game …