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ORCIDTom F. Wilderjans
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2020 – today
- 2024
[j11]Jeffrey Durieux
, Serge A. R. B. Rombouts, Marisa Koini, Juan Claramunt Gonzalez, Tom F. Wilderjans:
Clusterwise Independent Component Analysis (C-ICA): An R package for clustering subjects based on ICA patterns underlying three-way (brain) data. Neurocomputing 606: 128396 (2024)- 2023
- [j10]Sophie C. F. Hendrikse, Sem Kluiver, Jan Treur, Tom F. Wilderjans, Suzanne Dikker, Sander L. Koole:
How virtual agents can learn to synchronize: An adaptive joint decision-making model of psychotherapy. Cogn. Syst. Res. 79: 138-155 (2023) - [j9]Sophie C. F. Hendrikse, Jan Treur, Tom F. Wilderjans, Suzanne Dikker, Sander L. Koole:
On Becoming in Sync with Yourself and Others: An Adaptive Agent Model for How Persons Connect by Detecting Intrapersonal and Interpersonal Synchrony. Hum. Centric Intell. Syst. 3(2): 123-146 (2023) - 2022
- [j8]Julian Rossbroich, Jeffrey Durieux, Tom F. Wilderjans:
Model Selection Strategies for Determining the Optimal Number of Overlapping Clusters in Additive Overlapping Partitional Clustering. J. Classif. 39(2): 264-301 (2022) - [c4]Sophie C. F. Hendrikse, Jan Treur, Tom F. Wilderjans, Suzanne Dikker, Sander L. Koole:
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. BI 2022: 369-383 - [c3]Sophie C. F. Hendrikse, Jan Treur, Tom F. Wilderjans, Suzanne Dikker, Sander L. Koole:
Switching In and Out of Sync: A Controlled Adaptive Network Model of Transition Dynamics in the Effects of Interpersonal Synchrony on Affiliation. COMPLEX NETWORKS (2) 2022: 81-95 - [c2]Sophie C. F. Hendrikse, Jan Treur, Tom F. Wilderjans, Suzanne Dikker, Sander L. Koole:
On the Interplay of Interpersonal Synchrony, Short-Term Affiliation and Long-Term Bonding: A Second-Order Multi-adaptive Neural Agent Model. AIAI (1) 2022: 37-57 - 2021
- [c1]Sophie C. F. Hendrikse, Jan Treur, Tom F. Wilderjans, Suzanne Dikker, Sander L. Koole:
On the Same Wavelengths: Emergence of Multiple Synchronies Among Multiple Agents. MABS 2021: 57-71
2010 – 2019
- 2017
- [j7]Lisa L. Doove, Tom F. Wilderjans, Antonio Calcagnì, Iven Van Mechelen:
Deriving optimal data-analytic regimes from benchmarking studies. Comput. Stat. Data Anal. 107: 81-91 (2017) - 2013
- [j6]Tom F. Wilderjans, Dirk Depril, Iven Van Mechelen:
Additive Biclustering: A Comparison of One New and Two Existing ALS Algorithms. J. Classif. 30(1): 56-74 (2013) - 2012
- [j5]Tom F. Wilderjans, Dirk Depril, Iven Van Mechelen:
Block-Relaxation Approaches for Fitting the INDCLUS Model. J. Classif. 29(3): 277-296 (2012) - [j4]Dirk Depril, Iven Van Mechelen, Tom F. Wilderjans:
Lowdimensional Additive Overlapping Clustering. J. Classif. 29(3): 297-320 (2012) - 2011
- [j3]Katrijn Van Deun, Tom F. Wilderjans, Robert A. van den Berg, Anestis Antoniadis, Iven Van Mechelen:
A flexible framework for sparse simultaneous component based data integration. BMC Bioinform. 12: 448 (2011)
2000 – 2009
- 2009
- [j2]Robert A. van den Berg, Iven Van Mechelen, Tom F. Wilderjans, Katrijn Van Deun, Henk A. L. Kiers, Age K. Smilde:
Integrating functional genomics data using maximum likelihood based simultaneous component analysis. BMC Bioinform. 10: 340 (2009) - [j1]Tom F. Wilderjans, Eva Ceulemans, Iven Van Mechelen:
Simultaneous analysis of coupled data blocks differing in size: A comparison of two weighting schemes. Comput. Stat. Data Anal. 53(4): 1086-1098 (2009)
Coauthor Index
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