Rianne Margaretha Schouten

According to our database, Rianne Margaretha Schouten authored at least 9 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Counterfactual Explanations for Time Series Should be Human-Centered and Temporally Coherent in Interventions.

Emmanuel C. Chukwu, Rianne Margaretha Schouten, Monique Tabak, Mykola Pechenizkiy

CoRR, December, 2025

On the Role of Prognostic Factors and Effect Modifiers in Unraveling Population Heterogeneity.

Rianne Margaretha Schouten

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025

Characterizing the Risk of Atrial Fibrillation in Cardiac Patients with Exceptional Electrocardiogram Phenotypes.

Lieke van den Biggelaar, Rianne Margaretha Schouten, Ashley De Bie, R. Arthur Bouwman, Wouter Duivesteijn

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

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

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

2023

Dropping Incomplete Records is (not so) Straightforward.

Rianne Margaretha Schouten, Victoria Tascau, Gabriel G. Ziegler, Davide Casano, Marco Ardizzone, Michael-Angelos Erotokritou

Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

2022

Mining sequences with exceptional transition behaviour of varying order using quality measures based on information-theoretic scoring functions.

Rianne Margaretha Schouten, Marcos L. P. Bueno, Wouter Duivesteijn, Mykola Pechenizkiy

Data Min. Knowl. Discov., 2022

Exceptional Model Mining for Repeated Cross-Sectional Data (EMM-RCS).

Rianne Margaretha Schouten, Wouter Duivesteijn, Mykola Pechenizkiy

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Efficient Subgroup Discovery Through Auto-Encoding.

Joost F. van der Haar, Sander C. Nagelkerken, Igor G. Smit, Kjell van Straaten, Janneke A. Tack, Rianne Margaretha Schouten, Wouter Duivesteijn

Proceedings of the Advances in Intelligent Data Analysis XX, 2022

A Clustering-Inspired Quality Measure for Exceptional Preferences Mining - Design Choices and Consequences.

Ruben Franciscus Adrianus Verhaegh, Jacco Johannes Egbert Kiezebrink, Frank Nusteling, Arnaud Wander André Rio, Márton Bendegúz Bendicsek, Wouter Duivesteijn, Rianne Margaretha Schouten

Proceedings of the Discovery Science - 25th International Conference, 2022