Wouter Duivesteijn

Orcid: 0000-0003-0412-8864

According to our database1, Wouter Duivesteijn authored at least 42 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Exceptional Subitizing Patterns: Exploring Mathematical Abilities of Finnish Primary School Children with Piecewise Linear Regression.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

RMI-RRG: A Soft Protocol to Postulate Monotonicity Constraints for Tabular Datasets.
Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

2022
Mining sequences with exceptional transition behaviour of varying order using quality measures based on information-theoretic scoring functions.
Data Min. Knowl. Discov., 2022

Exceptional Model Mining for Repeated Cross-Sectional Data (EMM-RCS).
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Efficient Subgroup Discovery Through Auto-Encoding.
Proceedings of the Advances in Intelligent Data Analysis XX, 2022

A Clustering-Inspired Quality Measure for Exceptional Preferences Mining - Design Choices and Consequences.
Proceedings of the Discovery Science - 25th International Conference, 2022

2021
Adversarial balancing-based representation learning for causal effect inference with observational data.
Data Min. Knowl. Discov., 2021

Beyond Discriminant Patterns: On the Robustness of Decision Rule Ensembles.
CoRR, 2021

Exceptional Gestalt Mining: Combining Magic Cards to Make Complex Coalitions Thrive.
Proceedings of the Machine Learning and Data Mining for Sports Analytics, 2021

2020
How to cheat the page limit.
WIREs Data Mining Knowl. Discov., 2020

Exceptional spatio-temporal behavior mining through Bayesian non-parametric modeling.
Data Min. Knowl. Discov., 2020

Softmax-based Classification is k-means Clustering: Formal Proof, Consequences for Adversarial Attacks, and Improvement through Centroid Based Tailoring.
CoRR, 2020

Exceptional in so Many Ways - Discovering Descriptors That Display Exceptional Behavior on Contrasting Scenarios.
IEEE Access, 2020

Predicting Remaining Useful Life with Similarity-Based Priors.
Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

Fairness in Network Representation by Latent Structural Heterogeneity in Observational Data.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
k Is the Magic Number - Inferring the Number of Clusters Through Nonparametric Concentration Inequalities.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

DEvIANT: Discovering Significant Exceptional (Dis-)Agreement Within Groups.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Discovering a taste for the unusual: exceptional models for preference mining.
Mach. Learn., 2018

Controversy Rules - Discovering Regions Where Classifiers (Dis-)Agree Exceptionally.
CoRR, 2018

ICIE 1.0: A Novel Tool for Interactive Contextual Interaction Explanations.
Proceedings of the ECML PKDD 2018 Workshops, 2018

Subjectively Interesting Subgroup Discovery on Real-Valued Targets.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

ELBA: Exceptional Learning Behavior Analysis.
Proceedings of the 11th International Conference on Educational Data Mining, 2018

2017
Exceptionally monotone models - the rank correlation model class for Exceptional Model Mining.
Knowl. Inf. Syst., 2017

BoostEMM - Transparent Boosting using Exceptional Model Mining.
Proceedings of the Second Workshop on MIning DAta for financial applicationS (MIDAS 2017) co-located with the 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017), 2017

Have It Both Ways - From A/B Testing to A&B Testing with Exceptional Model Mining.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

2016
Interpretable domain adaptation via optimization over the Stiefel manifold.
Mach. Learn., 2016

Exceptional Model Mining - Supervised descriptive local pattern mining with complex target concepts.
Data Min. Knowl. Discov., 2016

Exceptional Preferences Mining.
Proceedings of the Discovery Science - 19th International Conference, 2016

SCHEP - A Geometric Quality Measure for Regression Rule Sets, Gauging Ranking Consistency Throughout the Real-Valued Target Space.
Proceedings of the Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016

2015
Cost-based quality measures in subgroup discovery.
J. Intell. Inf. Syst., 2015

Understanding Where Your Classifier Does (Not) Work.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

2014
ROCsearch - An ROC-guided Search Strategy for Subgroup Discovery.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

RealKrimp - Finding Hyperintervals that Compress with MDL for Real-Valued Data.
Proceedings of the Advances in Intelligent Data Analysis XIII, 2014

Understanding Where Your Classifier Does (Not) Work - The SCaPE Model Class for EMM.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013
Discovering Local Subgroups, with an Application to Fraud Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

2012
Different slopes for different folks: mining for exceptional regression models with cook's distance.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Multi-label LeGo - Enhancing Multi-label Classifiers with Local Patterns.
Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

Multilayer Perceptron for Label Ranking.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011
Exploiting False Discoveries - Statistical Validation of Patterns and Quality Measures in Subgroup Discovery.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010
Subgroup Discovery Meets Bayesian Networks -- An Exceptional Model Mining Approach.
Proceedings of the ICDM 2010, 2010

2008
Nearest Neighbour Classification with Monotonicity Constraints.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008


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