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ORCIDLourens J. Waldorp
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2020 – today
- 2024
[c3]Mandani Ntekouli, Gerasimos Spanakis
, Lourens J. Waldorp, Anne Roefs:
Exploiting Individual Graph Structures to Enhance Ecological Momentary Assessment (EMA) Forecasting. ICDEW 2024: 158-166- [c2]Mandani Ntekouli, Gerasimos Spanakis, Lourens J. Waldorp, Anne Roefs:
Explaining Clustering of Ecological Momentary Assessment Data Through Temporal and Feature Attention. xAI (2) 2024: 75-99 - [i6]Mandani Ntekouli, Gerasimos Spanakis, Lourens J. Waldorp, Anne Roefs:
Exploiting Individual Graph Structures to Enhance Ecological Momentary Assessment (EMA) Forecasting. CoRR abs/2403.19442 (2024) - [i5]Mandani Ntekouli, Gerasimos Spanakis, Lourens J. Waldorp, Anne Roefs:
Explaining Clustering of Ecological Momentary Assessment Data Through Temporal and Feature Attention. CoRR abs/2405.04854 (2024) - 2023
- [i4]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 abs/2310.07491 (2023) - 2022
- [c1]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: 199-211 - [i3]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 abs/2204.01689 (2022) - [i2]Mandani Ntekouli, Gerasimos Spanakis, Lourens J. Waldorp, Anne Roefs:
Clustering individuals based on multivariate EMA time-series data. CoRR abs/2212.01159 (2022) - 2020
- [j19]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) - [j18]Vincent van de Ven, Lourens J. Waldorp, Ingrid Christoffels:
Hippocampus plays a role in speech feedback processing. NeuroImage 223: 117319 (2020)
2010 – 2019
- 2019
- [j17]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) - 2017
- [i1]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 abs/1704.00910 (2017) - 2015
- [j16]Lourens J. Waldorp, Verena D. Schmittmann:
Computing Assortative Mixing by Degree with the s-Metric in Networks Using Linear Programming. J. Appl. Math. 2015: 580361:1-580361:9 (2015) - [j15]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): 1344-1359 (2015) - [j14]Eugen Pircalabelu, Gerda Claeskens, Lourens J. Waldorp:
A focused information criterion for graphical models. Stat. Comput. 25(6): 1071-1092 (2015) - 2014
- [j13]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: 287-302 (2014) - 2013
- [j12]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): 375-385 (2013) - 2011
- [j11]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): 410-416 (2011) - [j10]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): 2695-2705 (2011)
2000 – 2009
- 2009
- [j9]Lourens J. Waldorp:
Robust and Unbiased Variance of GLM Coefficients for Misspecified Autocorrelation and Hemodynamic Response Models in fMRI. Int. J. Biomed. Imaging 2009: 723912:1-723912:11 (2009) - 2005
- [j8]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): 56-72 (2005) - [j7]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): 414-420 (2005) - [j6]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): 3427-3435 (2005) - 2004
- [j5]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): 45-55 (2004) - 2002
- [j4]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): 533-539 (2002) - [j3]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): 1121-1129 (2002) - [j2]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): 1565-1572 (2002) - 2001
- [j1]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): 737-741 (2001)
Coauthor Index
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