Prediction and Intervention Strategy Design on Temporal Networks

Machine learning–based biomarker profile derived from 4210 serially measured proteins predicts clinical outcome of patients with heart failure

Assessment of the spatiotemporal prediction capabilities of machine learning algorithms on Sea Surface Temperature data: A comprehensive study

Mechanical properties prediction of blast furnace slag and fly ash-based alkali-activated concrete by machine learning methods

Prediction & optimization of alkali-activated concrete based on the random forest machine learning algorithm

Implementation of a medicine management plan (MMP) to reduce medication-related harm (MRH) in older people post-hospital discharge: a randomised controlled trial

Interpretable Ensemble-Machine-Learning models for predicting creep behavior of concrete

Microstructure-informed deep convolutional neural network for predicting short-term creep modulus of cement paste

Classification of clinically significant prostate cancer on multi-parametric MRI: A validation study comparing deep learning and radiomics

Prediction of the autogenous shrinkage and microcracking of alkali-activated slag and fly ash concrete

Prediction of changes in seafloor depths based on time series of bathymetry observations: Dutch north sea case

Integrated method for virtual strength prediction of timber

SMART mobility via prediction, optimization and personalization

Automated classification of significant prostate cancer on MRI: A systematic review on the performance of machine learning applications

Spatio-temporal prediction of missing temperature with stochastic Poisson equations: The LC2019 team winning entry for the EVA 2019 data competition

Measurement, Assessment, Analysis and Improvement of Transition Zones in Railway Track

Comparative performance between C4.5 and Naive Bayes classifiers in predicting student academic performance in a Virtual Learning Environment

Bone texture analysis for prediction of incident radiographic hip osteoarthritis using machine learning: data from the Cohort Hip and Cohort Knee (CHECK) study

The value of hippocampal volume, shape, and texture for 11-year prediction of dementia: a population-based study

Where are you going next? A practical multi-dimensional look at mobility prediction