Lourens J. Waldorp

28 papers B 1Journal 25Unranked 2

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