activity
20182022
most citedEquivariant Passing-Bablok regression in quasilinear time

2 citations · 2 across the 2 of their papers we have counts for

collaborators

9 papers

stat.ME20222 cited

Equivariant Passing-Bablok regression in quasilinear time

Jakob Raymaekers, Florian Dufey

Passing-Bablok regression is a standard tool for method and assay comparison studies thanks to its place in industry guidelines such as CLSI. Unfortunately, its computational cost…

stat.ML2021

Weight-of-evidence 2.0 with shrinkage and spline-binning

Jakob Raymaekers, Wouter Verbeke, Tim Verdonck

In many practical applications, such as fraud detection, credit risk modeling or medical decision making, classification models for assigning instances to a predefined set of class…

stat.ML2020

Regularized K-means through hard-thresholding

Jakob Raymaekers, Ruben H. Zamar

We study a framework of regularized -means methods based on direct penalization of the size of the cluster centers. Different penalization strategies are considered and compared…

stat.ME2020

Real-time discriminant analysis in the presence of label and measurement noise

Iwein Vranckx, Jakob Raymaekers, Bart De Ketelaere +2

Quadratic discriminant analysis (QDA) is a widely used classification technique. Based on a training dataset, each class in the data is characterized by an estimate of its center a…

stat.ME2019

Pooled variable scaling for cluster analysis

Jakob Raymaekers, Ruben H. Zamar

We propose a new approach for scaling prior to cluster analysis based on the concept of pooled variance. Unlike available scaling procedures such as the standard deviation and the…

stat.ME2019

Real-time outlier detection for large datasets by RT-DetMCD

Bart De Ketelaere, Mia Hubert, Jakob Raymaekers +2

Modern industrial machines can generate gigabytes of data in seconds, frequently pushing the boundaries of available computing power. Together with the time criticality of industri…