Lourens J. Waldorp

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 11

Top Topics

Linear Programming

Information Criterion

Individual Differences

Data Mining Tasks

Top Venues

J. Complex Networks

Publications

Mandani Ntekouli, Gerasimos Spanakis, Lourens J. Waldorp, Anne Roefs
Exploiting Individual Graph Structures to Enhance Ecological Momentary Assessment (EMA) Forecasting. CoRR (2024)
Mandani Ntekouli, Gerasimos Spanakis, Lourens J. Waldorp, Anne Roefs
Exploiting Individual Graph Structures to Enhance Ecological Momentary Assessment (EMA) Forecasting. ICDEW (2024)
Mandani Ntekouli, Gerasimos Spanakis, Lourens J. Waldorp, Anne Roefs
Explaining Clustering of Ecological Momentary Assessment Data Through Temporal and Feature Attention. CoRR (2024)
Mandani Ntekouli, Gerasimos Spanakis, Lourens J. Waldorp, Anne Roefs
Model-based Clustering of Individuals' Ecological Momentary Assessment Time-series Data for Improving Forecasting Performance. CoRR (2023)
Mandani Ntekouli, Gerasimos Spanakis, Lourens J. Waldorp, Anne Roefs
Clustering individuals based on multivariate EMA time-series data. CoRR (2022)
Mandani Ntekouli, Gerasimos Spanakis, Lourens J. Waldorp, Anne Roefs
Using Explainable Boosting Machine to Compare Idiographic and Nomothetic Approaches for Ecological Momentary Assessment Data. IDA (2022)
Mandani Ntekouli, Gerasimos Spanakis, Lourens J. Waldorp, Anne Roefs
Using Explainable Boosting Machine to Compare Idiographic and Nomothetic Approaches for Ecological Momentary Assessment Data. CoRR (2022)
Vincent van de Ven, Lourens J. Waldorp, Ingrid Christoffels
Hippocampus plays a role in speech feedback processing. NeuroImage 223 (2020)
Han L. J. van der Maas, Jonas Dalege, Lourens J. Waldorp
The polarization within and across individuals: the hierarchical Ising opinion model. J. Complex Networks 8 (2) (2020)
Jacqueline N. Zadelaar, Wouter D. Weeda, Lourens J. Waldorp, Anna C. K. van Duijvenvoorde, Neeltje E. Blankenstein, Hilde M. Huizenga
Are individual differences quantitative or qualitative? An integrated behavioral and fMRI MIMIC approach. NeuroImage 202 (2019)
Jonas Dalege, Denny Borsboom, Frenk van Harreveld, Lourens J. Waldorp, Han L. J. van der Maas
Network Structure Explains the Impact of Attitudes on Voting Decisions. CoRR (2017)
Lourens J. Waldorp, Verena D. Schmittmann
Computing Assortative Mixing by Degree with the s-Metric in Networks Using Linear Programming. J. Appl. Math. 2015 (2015)
Sara Jahfari, Lourens J. Waldorp, K. Richard Ridderinkhof, H. Steven Scholte
Visual Information Shapes the Dynamics of Corticobasal Ganglia Pathways during Response Selection and Inhibition. J. Cogn. Neurosci. 27 (7) (2015)
Eugen Pircalabelu, Gerda Claeskens, Lourens J. Waldorp
A focused information criterion for graphical models. Stat. Comput. 25 (6) (2015)
Bryan Guillaume, Xue Hua, Paul M. Thompson, Lourens J. Waldorp, Thomas E. Nichols
Fast and accurate modelling of longitudinal and repeated measures neuroimaging data. NeuroImage 94 (2014)
Laura F. Bringmann, H. Steven Scholte, Lourens J. Waldorp
Matching Structural, Effective, and Functional Connectivity: A Comparison Between Structural Equation Modeling and Ancestral Graphs. Brain Connect. 3 (4) (2013)
Lourens J. Waldorp, Ingrid Christoffels, Vincent van de Ven
Effective connectivity of fMRI data using ancestral graph theory: Dealing with missing regions. NeuroImage 54 (4) (2011)
Wouter D. Weeda, Lourens J. Waldorp, Raoul P. P. P. Grasman, Simon van Gaal, Hilde M. Huizenga
Functional connectivity analysis of fMRI data using parameterized regions-of-interest. NeuroImage 54 (1) (2011)
Lourens J. Waldorp
Robust and Unbiased Variance of GLM Coefficients for Misspecified Autocorrelation and Hemodynamic Response Models in fMRI. Int. J. Biomed. Imaging 2009 (2009)
Lourens J. Waldorp, Hilde M. Huizenga, Raoul P. P. P. Grasman
The Wald test and Cramér-Rao bound for misspecified models in electromagnetic source analysis. IEEE Trans. Signal Process. 53 (9) (2005)
Lourens J. Waldorp, Hilde M. Huizenga, Arye Nehorai, Raoul P. P. P. Grasman, Peter C. M. Molenaar
Model selection in spatio-temporal electromagnetic source analysis. IEEE Trans. Biomed. Eng. 52 (3) (2005)
Raoul P. P. P. Grasman, Hilde M. Huizenga, Lourens J. Waldorp, Peter C. M. Molenaar, Koen B. E. Böcker
Stochastic maximum likelihood mean and cross-spectrum structure modelling in neuro-magnetic source estimation. Digit. Signal Process. 15 (1) (2005)
Raoul P. P. P. Grasman, Hilde M. Huizenga, Lourens J. Waldorp, Koen B. E. Böcker, Peter C. M. Molenaar
Frequency domain simultaneous source and source coherence estimation with an application to MEG. IEEE Trans. Biomed. Eng. 51 (1) (2004)
Hilde M. Huizenga, Jan C. de Munck, Lourens J. Waldorp, Raoul P. P. P. Grasman
Spatiotemporal EEG/MEG source analysis based on a parametric noise covariance model. IEEE Trans. Biomed. Eng. 49 (6) (2002)
Jan C. de Munck, Hilde M. Huizenga, Lourens J. Waldorp, Rob M. Heethaar
Estimating stationary dipoles from MEG/EEG data contaminated with spatially and temporally correlated background noise. IEEE Trans. Signal Process. 50 (7) (2002)
Lourens J. Waldorp, Hilde M. Huizenga, Raoul P. P. P. Grasman, Koen B. E. Böcker, Jan C. de Munck, Peter C. M. Molenaar
Model selection in electromagnetic source analysis with an application to VEFs. IEEE Trans. Biomed. Eng. 49 (10) (2002)
Lourens J. Waldorp, Hilde M. Huizenga, Conor V. Dolan, Peter C. M. Molenaar
Estimated generalized least squares electromagnetic source analysis based on a parametric noise covariance model [EEG/MEG]. IEEE Trans. Biomed. Eng. 48 (6) (2001)