Wouter Duivesteijn

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 36

Top Topics

Bipartite Ranking

Subgroup Discovery

Monotonicity Constraints

Observational Data

Top Venues

Data Min. Knowl. Discov.

Publications

Iko Vloothuis, Wouter Duivesteijn
RMI-RRG: A Soft Protocol to Postulate Monotonicity Constraints for Tabular Datasets. IDA (1) (2024)
Rianne Margaretha Schouten, Wouter Duivesteijn, Mykola Pechenizkiy
Exceptional Model Mining for Repeated Cross-Sectional Data (EMM-RCS). SDM (2022)
Ruben Franciscus Adrianus Verhaegh, Jacco Johannes Egbert Kiezebrink, Frank Nusteling, Arnaud Wander André Rio, Márton Bendegúz Bendicsek, Wouter Duivesteijn, Rianne Margaretha Schouten
A Clustering-Inspired Quality Measure for Exceptional Preferences Mining - Design Choices and Consequences. DS (2022)
Rianne M. Schouten, Marcos L. P. Bueno, Wouter Duivesteijn, Mykola Pechenizkiy
Mining sequences with exceptional transition behaviour of varying order using quality measures based on information-theoretic scoring functions. Data Min. Knowl. Discov. 36 (1) (2022)
Joost F. van der Haar, Sander C. Nagelkerken, Igor G. Smit, Kjell van Straaten, Janneke A. Tack, Rianne Margaretha Schouten, Wouter Duivesteijn
Efficient Subgroup Discovery Through Auto-Encoding. IDA (2022)
Wouter Duivesteijn, Thomas C. van Dijk
Exceptional Gestalt Mining: Combining Magic Cards to Make Complex Coalitions Thrive. MLSA@PKDD/ECML (2021)
Xin Du, Subramanian Ramamoorthy, Wouter Duivesteijn, Jin Tian, Mykola Pechenizkiy
Beyond Discriminant Patterns: On the Robustness of Decision Rule Ensembles. CoRR (2021)
Xin Du, Lei Sun, Wouter Duivesteijn, Alexander G. Nikolaev, Mykola Pechenizkiy
Adversarial balancing-based representation learning for causal effect inference with observational data. Data Min. Knowl. Discov. 35 (4) (2021)
Xin Du, Yulong Pei, Wouter Duivesteijn, Mykola Pechenizkiy
Fairness in Network Representation by Latent Structural Heterogeneity in Observational Data. AAAI (2020)
Sibylle Hess, Wouter Duivesteijn, Decebal Constantin Mocanu
Softmax-based Classification is k-means Clustering: Formal Proof, Consequences for Adversarial Attacks, and Improvement through Centroid Based Tailoring. CoRR (2020)
Xin Du, Yulong Pei, Wouter Duivesteijn, Mykola Pechenizkiy
Exceptional spatio-temporal behavior mining through Bayesian non-parametric modeling. Data Min. Knowl. Discov. 34 (5) (2020)
José María Luna, Mykola Pechenizkiy, Wouter Duivesteijn, Sebastián Ventura
Exceptional in so Many Ways - Discovering Descriptors That Display Exceptional Behavior on Contrasting Scenarios. IEEE Access 8 (2020)
Youri Soons, Remco M. Dijkman, Maurice Jilderda, Wouter Duivesteijn
Predicting Remaining Useful Life with Similarity-Based Priors. IDA (2020)
Wouter Duivesteijn, Sibylle Hess, Xin Du
How to cheat the page limit. WIREs Data Mining Knowl. Discov. 10 (3) (2020)
Sibylle Hess, Wouter Duivesteijn, Philipp Honysz, Katharina Morik
The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering. AAAI (2019)
Xin Du, Lei Sun, Wouter Duivesteijn, Alexander G. Nikolaev, Mykola Pechenizkiy
Adversarial Balancing-based Representation Learning for Causal Effect Inference with Observational Data. CoRR (2019)
Sibylle Hess, Wouter Duivesteijn
k is the Magic Number - Inferring the Number of Clusters Through Nonparametric Concentration Inequalities. CoRR (2019)
Sibylle Hess, Wouter Duivesteijn, Philipp Honysz, Katharina Morik
The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering. CoRR (2019)
Adnene Belfodil, Wouter Duivesteijn, Marc Plantevit, Sylvie Cazalens, Philippe Lamarre
DEvIANT: Discovering Significant Exceptional (Dis-)Agreement Within Groups. ECML/PKDD (1) (2019)
Sibylle Hess, Wouter Duivesteijn
k Is the Magic Number - Inferring the Number of Clusters Through Nonparametric Concentration Inequalities. ECML/PKDD (1) (2019)
Oren Zeev-Ben-Mordehai, Wouter Duivesteijn, Mykola Pechenizkiy
Controversy Rules - Discovering Regions Where Classifiers (Dis-)Agree Exceptionally. CoRR (2018)
Cláudio Rebelo de Sá, Wouter Duivesteijn, Paulo J. Azevedo, Alípio Mário Jorge, Carlos Soares, Arno J. Knobbe
Discovering a taste for the unusual: exceptional models for preference mining. Mach. Learn. 107 (11) (2018)
Xin Du, Wouter Duivesteijn, Mykola Pechenizkiy
ELBA: Exceptional Learning Behavior Analysis. EDM (2018)
Simon van der Zon, Wouter Duivesteijn, Werner van Ipenburg, Jan Veldsink, Mykola Pechenizkiy
ICIE 1.0: A Novel Tool for Interactive Contextual Interaction Explanations. MIDAS/PAP@PKDD/ECML (2018)
Jefrey Lijffijt, Bo Kang, Wouter Duivesteijn, Kai Puolamäki, Emilia Oikarinen, Tijl De Bie
Subjectively Interesting Subgroup Discovery on Real-Valued Targets. ICDE (2018)
Jefrey Lijffijt, Bo Kang, Wouter Duivesteijn, Kai Puolamäki, Emilia Oikarinen, Tijl De Bie
Subjectively Interesting Subgroup Discovery on Real-valued Targets. CoRR (2017)
Simon van der Zon, Oren Zeev-Ben-Mordehai, Tom Vrijdag, Werner van Ipenburg, Wouter Duivesteijn, Jan Veldsink, Mykola Pechenizkiy
BoostEMM - Transparent Boosting using Exceptional Model Mining. MIDAS@PKDD/ECML (2017)
Lennart Downar, Wouter Duivesteijn
Exceptionally monotone models - the rank correlation model class for Exceptional Model Mining. Knowl. Inf. Syst. 51 (2) (2017)
Wouter Duivesteijn, Tara Farzami, Thijs Putman, Evertjan Peer, Hilde J. P. Weerts, Jasper N. Adegeest, Gerson Foks, Mykola Pechenizkiy
Have It Both Ways - From A/B Testing to A&B Testing with Exceptional Model Mining. ECML/PKDD (3) (2017)
Cláudio Rebelo de Sá, Wouter Duivesteijn, Carlos Soares, Arno J. Knobbe
Exceptional Preferences Mining. DS (2016)
Wouter Duivesteijn, Marvin Meeng
SCHEP - A Geometric Quality Measure for Regression Rule Sets, Gauging Ranking Consistency Throughout the Real-Valued Target Space. Solving Large Scale Learning Tasks (2016)
Wouter Duivesteijn, Ad Feelders, Arno J. Knobbe
Exceptional Model Mining - Supervised descriptive local pattern mining with complex target concepts. Data Min. Knowl. Discov. 30 (1) (2016)
Christian Pölitz, Wouter Duivesteijn, Katharina Morik
Interpretable domain adaptation via optimization over the Stiefel manifold. Mach. Learn. 104 (2-3) (2016)
Rob M. Konijn, Wouter Duivesteijn, Marvin Meeng, Arno J. Knobbe
Cost-based quality measures in subgroup discovery. J. Intell. Inf. Syst. 45 (3) (2015)
Lennart Downar, Wouter Duivesteijn
Exceptionally Monotone Models - The Rank Correlation Model Class for Exceptional Model Mining. ICDM (2015)
Wouter Duivesteijn, Julia Thaele
Understanding Where Your Classifier Does (Not) Work. ECML/PKDD (3) (2015)
Jouke Witteveen, Wouter Duivesteijn, Arno J. Knobbe, Peter Grünwald
RealKrimp - Finding Hyperintervals that Compress with MDL for Real-Valued Data. IDA (2014)
Wouter Duivesteijn, Julia Thaele
Understanding Where Your Classifier Does (Not) Work - The SCaPE Model Class for EMM. ICDM (2014)
Marvin Meeng, Wouter Duivesteijn, Arno J. Knobbe
ROCsearch - An ROC-guided Search Strategy for Subgroup Discovery. SDM (2014)
Marvin Meeng, Wouter Duivesteijn, Arno J. Knobbe
ROCsearch - An ROC-Guided Search Strategy for Subgroup Discovery. LWA (2014)
Rob M. Konijn, Wouter Duivesteijn, Wojtek Kowalczyk, Arno J. Knobbe
Discovering Local Subgroups, with an Application to Fraud Detection. PAKDD (1) (2013)
Rob M. Konijn, Wouter Duivesteijn, Marvin Meeng, Arno J. Knobbe
Cost-Based Quality Measures in Subgroup Discovery. PAKDD Workshops (2013)
Wouter Duivesteijn, Eneldo Loza Mencía, Johannes Fürnkranz, Arno J. Knobbe
Multi-label LeGo - Enhancing Multi-label Classifiers with Local Patterns. IDA (2012)
Geraldina Ribeiro, Wouter Duivesteijn, Carlos Soares, Arno J. Knobbe
Multilayer Perceptron for Label Ranking. ICANN (2) (2012)
Wouter Duivesteijn, Ad Feelders, Arno J. Knobbe
Different slopes for different folks: mining for exceptional regression models with cook's distance. KDD (2012)
Wouter Duivesteijn, Arno J. Knobbe
Exploiting False Discoveries - Statistical Validation of Patterns and Quality Measures in Subgroup Discovery. ICDM (2011)
Wouter Duivesteijn, Arno J. Knobbe, Ad Feelders, Matthijs van Leeuwen
Subgroup Discovery Meets Bayesian Networks -- An Exceptional Model Mining Approach. ICDM (2010)
Wouter Duivesteijn, Ad Feelders
Nearest Neighbour Classification with Monotonicity Constraints. ECML/PKDD (1) (2008)