The BP Dependency Function: a Generic Measure of Dependence between Random Variables. - Guus Berkelmans; Joris Pries; Sandjai Bhulai; Rob van der Mei (CoRR, 2022)

The Dutch Draw: Constructing a Universal Baseline for Binary Prediction Models. - Etienne van de Bijl; Jan Klein 004; Joris Pries; Sandjai Bhulai; Mark Hoogendoorn; Rob van der Mei (CoRR, 2022)

The Optimal Input-Independent Baseline for Binary Classification: The Dutch Draw. - Joris Pries; Etienne van de Bijl; Jan Klein 004; Sandjai Bhulai; Rob van der Mei (CoRR, 2023)

The Berkelmans-Pries Feature Importance Method: A Generic Measure of Informativeness of Features. - Joris Pries; Guus Berkelmans; Sandjai Bhulai; Rob van der Mei (CoRR, 2023)

Active pairwise distance learning for efficient labeling of large datasets by human experts. - Joris Pries; Sandjai Bhulai; Rob van der Mei (Appl. Intell., 2023)

The Berkelmans-Pries dependency function: A generic measure of dependence between random variables. - Guus Berkelmans; Sandjai Bhulai; Rob van der Mei; Joris Pries (J. Appl. Probab., 2023)

The dutch draw: constructing a universal baseline for binary classification problems. - Etienne van de Bijl; Jan Klein 004; Joris Pries; Sandjai Bhulai; Mark Hoogendoorn; Rob van der Mei (J. Appl. Probab., 2025)