Browsing by Author "Verdonck, Tim"

A Learn-to-Rank Approach for Predicting Road Cycling Race Outcomes

A machine learning approach for in-race cycling performance prediction

Age of peak performance in professional road cycling

Classification of Targets and Distractors in an Audiovisual Attention Task Based on Electroencephalography

Computational Efficient Approximations of the Concordance Probability in a Big Data Setting

Design and Construction of an Experimental Setup to Enhance Mineral Weathering through the Activity of Soil Organisms

direpack: A Python 3 package for state-of-the-art statistical dimensionality reduction methods

Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring

Fast thresholded concordance probability for evolutionary optimization

Fraud analytics: A decade of research Organizing challenges and solutions in the field

Generalized spherical principal component analysis

Inferring the relationship between soil temperature and the normalized difference vegetation index with machine learning

Interpretable cost-sensitive regression through one-step boosting

Missing Value Imputation of Wireless Sensor Data for Environmental Monitoring

Noise robustness of persistent homology on greyscale images, across filtrations and signatures

Portfolio optimization using cellwise robust association measures and clustering methods with application to highly volatile markets

Practicable optimization for portfolios that contain nonfungible tokens

Robust and sparse logistic regression

Robust Inference and Modeling of Mean and Dispersion for Generalized Linear Models

Robust instance-dependent cost-sensitive classification