Duivesteijn, Wouter

11 publications

ECML-PKDD 2025 Conformalized Exceptional Model Mining: Telling Where Your Model Performs (Not) Well Xin Du, Sikun Yang, Wouter Duivesteijn, Mykola Pechenizkiy

ECML-PKDD 2024 Exceptional Subitizing Patterns: Exploring Mathematical Abilities of Finnish Primary School Children with Piecewise Linear Regression Rianne Margaretha Schouten, Wouter Duivesteijn, Pekka Räsänen, Jacob M. Paul, Mykola Pechenizkiy

AAAI 2020 Fairness in Network Representation by Latent Structural Heterogeneity in Observational Data Xin Du, Yulong Pei, Wouter Duivesteijn, Mykola Pechenizkiy

ECML-PKDD 2019 DEvIANT: Discovering Significant Exceptional (Dis-)Agreement Within Groups Adnene Belfodil, Wouter Duivesteijn, Marc Plantevit, Sylvie Cazalens, Philippe Lamarre

ECML-PKDD 2019 K Is the Magic Number - Inferring the Number of Clusters Through Nonparametric Concentration Inequalities Sibylle Hess, Wouter Duivesteijn

AAAI 2019 The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering Sibylle Hess, Wouter Duivesteijn, Philipp Honysz, Katharina Morik

MLJ 2018 Discovering a Taste for the Unusual: Exceptional Models for Preference Mining Cláudio Rebelo de Sá, Wouter Duivesteijn, Paulo J. Azevedo, Alípio Mário Jorge, Carlos Soares, Arno J. Knobbe

ECML-PKDD 2017 Have It Both Ways - From A/B Testing to A&B Testing with Exceptional Model Mining Wouter Duivesteijn, Tara Farzami, Thijs Putman, Evertjan Peer, Hilde J. P. Weerts, Jasper N. Adegeest, Gerson Foks, Mykola Pechenizkiy

MLJ 2016 Interpretable Domain Adaptation via Optimization over the Stiefel Manifold Christian Pölitz, Wouter Duivesteijn, Katharina Morik

ECML-PKDD 2015 Understanding Where Your Classifier Does (Not) Work Wouter Duivesteijn, Julia Thaele

ECML-PKDD 2008 Nearest Neighbour Classification with Monotonicity Constraints Wouter Duivesteijn, Ad Feelders