Integrating functional genomics data using maximum likelihood based simultaneous component analysis. - Robert A. van den Berg; Iven Van Mechelen; Tom F. Wilderjans; Katrijn Van Deun; Henk A. L. Kiers; Age K. Smilde (BMC Bioinform., 2009)

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)

A flexible framework for sparse simultaneous component based data integration. - Katrijn Van Deun; Tom F. Wilderjans; Robert A. van den Berg; Anestis Antoniadis; Iven Van Mechelen (BMC Bioinform., 2011)

Lowdimensional Additive Overlapping Clustering. - Dirk Depril; Iven Van Mechelen; Tom F. Wilderjans (J. Classif., 2012)

Block-Relaxation Approaches for Fitting the INDCLUS Model. - Tom F. Wilderjans; Dirk Depril; Iven Van Mechelen (J. Classif., 2012)

Additive Biclustering: A Comparison of One New and Two Existing ALS Algorithms. - Tom F. Wilderjans; Dirk Depril; Iven Van Mechelen (J. Classif., 2013)

Deriving optimal data-analytic regimes from benchmarking studies. - Lisa L. Doove; Tom F. Wilderjans; Antonio Calcagnì; Iven Van Mechelen (Comput. Stat. Data Anal., 2017)

On the Same Wavelengths: Emergence of Multiple Synchronies Among Multiple Agents. - Sophie C. F. Hendrikse; Jan Treur; Tom F. Wilderjans; Suzanne Dikker; Sander L. Koole (MABS, 2021)

Becoming Attuned to Each Other Over Time: A Computational Neural Agent Model for the Role of Time Lags in Subjective Synchrony Detection and Related Behavioral Adaptivity. - Sophie C. F. Hendrikse; Jan Treur; Tom F. Wilderjans; Suzanne Dikker; Sander L. Koole (BI, 2022)

Switching In and Out of Sync: A Controlled Adaptive Network Model of Transition Dynamics in the Effects of Interpersonal Synchrony on Affiliation. - Sophie C. F. Hendrikse; Jan Treur; Tom F. Wilderjans; Suzanne Dikker; Sander L. Koole (COMPLEX NETWORKS (2), 2022)

On the Interplay of Interpersonal Synchrony, Short-Term Affiliation and Long-Term Bonding: A Second-Order Multi-adaptive Neural Agent Model. - Sophie C. F. Hendrikse; Jan Treur; Tom F. Wilderjans; Suzanne Dikker; Sander L. Koole (AIAI (1), 2022)

Model Selection Strategies for Determining the Optimal Number of Overlapping Clusters in Additive Overlapping Partitional Clustering. - Julian Rossbroich; Jeffrey Durieux; Tom F. Wilderjans (J. Classif., 2022)

On Becoming in Sync with Yourself and Others: An Adaptive Agent Model for How Persons Connect by Detecting Intrapersonal and Interpersonal Synchrony. - Sophie C. F. Hendrikse; Jan Treur; Tom F. Wilderjans; Suzanne Dikker; Sander L. Koole (Hum. Centric Intell. Syst., 2023)

How virtual agents can learn to synchronize: An adaptive joint decision-making model of psychotherapy. - Sophie C. F. Hendrikse; Sem Kluiver; Jan Treur; Tom F. Wilderjans; Suzanne Dikker; Sander L. Koole (Cogn. Syst. Res., 2023)

Clusterwise Independent Component Analysis (C-ICA): An R package for clustering subjects based on ICA patterns underlying three-way (brain) data. - Jeffrey Durieux; Serge A. R. B. Rombouts; Marisa Koini; Juan Claramunt González; Tom F. Wilderjans (Neurocomputing, 2024)