Adapting the Formal to the Substantive: Constrained Tucker3-HICLASS. - Eva Ceulemans; Iven Van Mechelen; Peter Kuppens (J. Classif., 2004)

Three-mode partitioning. - Jan Schepers; Iven Van Mechelen; Eva Ceulemans (Comput. Stat. Data Anal., 2006)

Selecting Among Multi-Mode Partitioning Models of Different Complexities: A Comparison of Four Model Selection Criteria. - Jan Schepers; Eva Ceulemans; Iven Van Mechelen (J. Classif., 2008)

Simultaneous analysis of coupled data blocks differing in size: A comparison of two weighting schemes. - Tom F. Wilderjans; Eva Ceulemans; Iven Van Mechelen (Comput. Stat. Data Anal., 2009)

The Generic Subspace Clustering Model. - Marieke E. Timmerman; Eva Ceulemans (COMPSTAT, 2010)

Factorial and reduced K-means reconsidered. - Marieke E. Timmerman; Eva Ceulemans; Henk A. L. Kiers; Maurizio Vichi (Comput. Stat. Data Anal., 2010)

Tool-use in a blended undergraduate course: In Search of user profiles. - Griet Lust; Mieke Vandewaetere; Eva Ceulemans; Jan Elen; Geraldine Clarebout (Comput. Educ., 2011)

The Real-Valued Model of Hierarchical Classes. - Jan Schepers; Iven Van Mechelen; Eva Ceulemans (J. Classif., 2011)

On the Added Value of Bootstrap Analysis for K-Means Clustering. - Joeri Hofmans; Eva Ceulemans; Douglas L. Steinley; Iven Van Mechelen (J. Classif., 2015)

Component- and Factor-Based Models for Data Fusion in the Behavioral Sciences. - Iven Van Mechelen; Eva Ceulemans (Proc. IEEE, 2015)

Obtaining insights from high-dimensional data: sparse principal covariates regression. - Katrijn Van Deun; Elise A. V. Crompvoets; Eva Ceulemans (BMC Bioinform., 2018)

Capturing correlation changes by applying kernel change point detection on the running correlations. - Jedelyn Cabrieto; Francis Tuerlinckx; Peter Kuppens; Frank H. Wilhelm; Michael Liedlgruber; Eva Ceulemans (Inf. Sci., 2018)

Variable selection for both outcomes and predictors: sparse multivariate principal covariates regression. - Soogeun Park; Eva Ceulemans; Katrijn Van Deun (Mach. Learn., 2024)