Tom Wilderjans
Tom Wilderjans
post-doctoral researcher (FWO), KU Leuven
Geverifieerd e-mailadres voor ppw.kuleuven.be
Geciteerd door
Geciteerd door
CHull: A generic convex-hull-based model selection method
TF Wilderjans, E Ceulemans, K Meers
Behavior research methods 45 (1), 1-15, 2013
Non-suicidal self-injury and adolescents attachment with peers and mother: The mediating role of identity synthesis and confusion
A Gandhi, L Claes, G Bosmans, I Baetens, TF Wilderjans, S Maitra, ...
Journal of Child and family Studies 25 (6), 1735-1745, 2016
CHull as an alternative to AIC and BIC in the context of mixtures of factor analyzers
K Bulteel, TF Wilderjans, F Tuerlinckx, E Ceulemans
Behavior Research Methods 45 (3), 782-791, 2013
A flexible framework for sparse simultaneous component based data integration
K Van Deun, TF Wilderjans, RA Van Den Berg, A Antoniadis, ...
BMC bioinformatics 12 (1), 1-17, 2011
Performing DISCO-SCA to search for distinctive and common information in linked data
M Schouteden, K Van Deun, TF Wilderjans, I Van Mechelen
Behavior research methods 46 (2), 576-587, 2014
Temperament subtypes in treatment seeking obese individuals: a latent profile analysis
A Müller, L Claes, TF Wilderjans, M De Zwaan
European Eating Disorders Review 22 (4), 260-266, 2014
Personality profiles in eating disorders: Further evidence of the clinical utility of examining subtypes based on temperament
BJ Turner, L Claes, TF Wilderjans, E Pauwels, E Dierckx, AL Chapman, ...
Psychiatry Research 219 (1), 157-165, 2014
Simultaneous analysis of coupled data blocks differing in size: A comparison of two weighting schemes
T Wilderjans, E Ceulemans, I Van Mechelen
Computational Statistics & Data Analysis 53 (4), 1086-1098, 2009
Simultaneous analysis of coupled data matrices subject to different amounts of noise
TF Wilderjans, E Ceulemans, I Van Mechelen, RA Van Den Berg
British Journal of Mathematical and Statistical Psychology 64 (2), 277-290, 2011
Psychological distress and cognitive coping in pregnant women diagnosed with cancer and their partners
T Vandenbroucke, SN Han, K Van Calsteren, TF Wilderjans, ...
Psycho‐Oncology 26 (8), 1215-1221, 2017
Heart work after errors: Behavioral adjustment following error commission involves cardiac effort
IM Spruit, TF Wilderjans, H van Steenbergen
Cognitive, Affective, & Behavioral Neuroscience 18 (2), 375-388, 2018
In sync with your shrink: Grounding psychotherapy in interpersonal synchrony
SL Koole, D Atzil-Slonim, E Butler, S Dikker, W Tschacher, T Wilderjans
Applications of Social Psychology, 161-184, 2020
MultiLevel simultaneous component analysis: A computational shortcut and software package
E Ceulemans, TF Wilderjans, HAL Kiers, ME Timmerman
Behavior Research Methods 48 (3), 1008-1020, 2016
Clusterwise Parafac to identify heterogeneity in three-way data
TF Wilderjans, E Ceulemans
Chemometrics and Intelligent Laboratory Systems 129, 87-97, 2013
Fast and efficient food quality control using electronic noses: adulteration detection achieved by unfolded cluster analysis coupled with time-window selection
SD Rodríguez, DA Barletta, TF Wilderjans, DL Bernik
Food analytical methods 7 (10), 2042-2050, 2014
The CHIC model: A global model for coupled binary data
T Wilderjans, E Ceulemans, I Van Mechelen
Psychometrika 73 (4), 729-751, 2008
Predictors of school engagement in foster children: A longitudinal study
A Goemans, M van Geel, TF Wilderjans, JR van Ginkel, P Vedder
Children and Youth Services Review 88, 33-43, 2018
Additive biclustering: A comparison of one new and two existing ALS algorithms
TF Wilderjans, D Depril, I Van Mechelen
Journal of Classification 30 (1), 56-74, 2013
The SIMCLAS model: Simultaneous analysis of coupled binary data matrices with noise heterogeneity between and within data blocks
TF Wilderjans, E Ceulemans, I Van Mechelen
Psychometrika 77 (4), 724-740, 2012
Integrating functional genomics data using maximum likelihood based simultaneous component analysis
RA Van Den Berg, I Van Mechelen, TF Wilderjans, K Van Deun, ...
BMC bioinformatics 10 (1), 1-12, 2009
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Artikelen 1–20