Browsing by Author "Heskes, T.M."

Now showing items 1-50 of 296

Estimating the Effect of Early Treatment Initiation in Parkinson's Disease Using Observational Data
Heuvel, L. van den ; Evers, L.J.W. ; Meinders, M.J. ; Post, B. ; Stiggelbout, A.M. ; Heskes, T.M. ; Bloem, B.R. ; Krijthe, J.H.
2021, Article / Letter to editor (Movement Disorders : Official Journal of the Movement Disorder Society, vol. 36, iss. 2, (2021), pp. 407-414)
Investigating the effect of dependence between conditions with Bayesian Linear Mixed Models for motif activity analysis
Lederer, S.I.; Heskes, T. ; Heeringen, S.J. van ; Albers, C.A.
2020, Article / Letter to editor (PLoS One, vol. 15, iss. 5, (2020), pp. 1-25, article e0231824)
RoCELL: Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness
Bucur, I.G. ; Claassen, T. ; Heskes, T.M.
2020, Dataset
BFCS: Bayes Factors of Covariance Structures
Bucur, I.G. ; Claassen, T. ; Heskes, T.M.
2020, Dataset
Inferring the direction of a causal link and estimating its effect via a Bayesian Mendelian randomization approach
Bucur, I.G. ; Claassen, Tom ; Heskes, T.
2020, Article / Letter to editor (Statistical Methods in Medical Research, vol. 29, iss. 4, (2020), pp. 1081-1111)
BayesMR: A Bayesian Mendelian Randomization Approach
Bucur, I.G. ; Claassen, T. ; Heskes, T.M.
2020, Dataset
MASSIVE: Model Assessment and Stochastic Search for Instrumental Variable Estimation
Bucur, I.G. ; Claassen, T. ; Heskes, T.M.
2020, Dataset
MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models
Bucur, I.G. ; Claassen, T. ; Heskes, T.
2020, Article / Letter to editor (Proceedings of Machine Learning Research, vol. 124, (2020), pp. 1049-1058)
Disentangling drivers of spatial autocorrelation in species distribution models
Mielke, K.P.; Claassen, T. ; Busana, M.; Heskes, T. ; Huijbregts, M.A.J. ; Koffijberg, K.; Schipper, A.M.
2020, Article / Letter to editor (Ecography, vol. 43, iss. 12, (2020), pp. 1741-1751)
Disentangling drivers of spatial autocorrelation in species distribution models
Mielke, K.P.; Heskes, T. ; Koffijberg, K.; Claassen, T. ; Huijbregts, M.A.J. ; Schipper, A.M. ; Busana, M.
2020, Dataset
PrimaVera: Synergising Predictive Maintenance
Ton, B.; Basten, R.; Bolte, J.; Braaksma, J.; Bucchianico, A. Di; Calseyde, P. van de; Grooteman, F.; Heskes, T.M. ; Jansen, N.H. ; Teeuw, W.; Tinga, T.; Stoelinga, M.I.A. et al. sine al.
2020, Article / Letter to editor (Applied Sciences, vol. 10, iss. 23, (2020), pp. 1-19, article 8348)
Identification and validation of risk factors for antisocial behaviour involving police
Schoenmacker, G.H.; Sakala, K.; Franke, B. ; Buitelaar, J.K. ; Veidebaum, T.; Harro, J.; Heskes, T. ; Claassen, T. ; Arias Vasquez, A.
2020, Article / Letter to editor (Psychiatry Research, vol. 291, (2020), pp. 1-9, article 113208)
Real-Life Gait Performance as a Digital Biomarker for Motor Fluctuations: The Parkinson@Home Validation Study
Evers, L.J.W. ; Raykov, Y.P.; Krijthe, J.H.; Silva de Lima, A.L. ; Badawy, R.; Claes, K.; Heskes, T.M. ; Little, M.A.; Meinders, M.J. ; Bloem, B.R.
2020, Article / Letter to editor (Journal of Medical Internet Research, vol. 22, iss. 10, (2020), pp. 1-18, article e19068)
Structural and functional MRI of altered brain development in a novel adolescent rat model of quinpirole-induced compulsive checking behavior
Straathof, Milou; Blezer, Erwin L.A.; Heijningen, Caroline van; Smeele, Christel E.; Toorn, Annette van der; Buitelaar, J.K. ; Glennon, J.C. ; Ruiter, S.W. de ; Naaijen, J. ; Akkermans, S.E.A. ; Mennes, M.J.J. ; Zwiers, M.P. ; Ilbegi, S. ; Hennissen, L.; Vondervoort, I.I.G.M. van de ; Kapusta, K.A. ; Bielczyk, N.Z. ; Amiri, H.; Havenith, M.N. ; Franke, B. ; Poelmans, G.J.V. ; Bralten, J.B. ; Heskes, T.M. ; Sokolova, E.S. ; Otte, W.M.; Dijkhuizen, Rick M. et al. sine al.
2020, Article / Letter to editor (European Neuropsychopharmacology, vol. 33, (2020), pp. 58-70)
Discovering cause-effect relationships in spatial systems with a known direction based on observational data
Mielke, K.P.; Claassen, T. ; Huijbregts, M.A.J. ; Schipper, A.M. ; Heskes, T.
2020, Article in monograph or in proceedings (Jaeger, M. (ed.), PGM 2020: The 10th International Conference on Probabilistic Graphical Models Aalborg, September 23-25, 2020, pp. 1-12)
Causal Shapley values: Exploiting causal knowledge to explain individual predictions of complex models
Heskes, T.M. ; Sijben, E.; Bucur, I.G. ; Claassen, T.
2020, Article in monograph or in proceedings (Larochelle, H. (ed.), NeurIPS 2020: 34th Conference on Neural Information Processing System, Dec. 6th-12th, 2020 Virtual-only Conference, pp. 1-12)
Role of conduct problems in the relation between Attention-Deficit Hyperactivity disorder, substance use, and gaming
Schoenmacker, G.H.; Groenman, A.P. ; Sokolova, E.S. ; Oosterlaan, J.; Rommelse, N.N.J. ; Roeyers, H. ; Franke, B. ; Heskes, T. ; Arias Vasquez, A. ; Claassen, T. ; Buitelaar, J.K. et al. sine al.
2020, Article / Letter to editor (European Neuropsychopharmacology, vol. 30, (2020), pp. 102-113)
Learning causal structure from mixed data with missing values using Gaussian copula models
Cui, R.; Groot, P. ; Heskes, T.
2019, Article / Letter to editor (Statistics and Computing, vol. 29, iss. 2, (2019), pp. 311-333)
Additive Dose Response Models: Defining Synergy
Lederer, S.I.; Dijkstra, T.M.H. ; Heskes, T.M.
2019, Article / Letter to editor (Frontiers in Pharmacology, vol. 10, iss. 1384, (2019), pp. 1-15)
Hierarchical Bayesian inference for concurrent model fitting and comparison for group studies
Piray, Pay.; Dezfouli, Amir; Heskes, T. ; Frank, M.J.; Daw, Nathaniel D.
2019, Article / Letter to editor (Plos Computational Biology, vol. 15, iss. 6, (2019), pp. 1-34, article e1007043)
Constraining the parameters of high-dimensional models with active learning
Caron, S.; Heskes, T. ; Otten, S.M.M.; Stienen, B.P.J.
2019, Article / Letter to editor (European Physical Journal C, vol. 79, iss. 11, (2019), pp. 1-11, article 944)
A novel Bayesian approach for latent variable modeling from mixed data with missing values
Cui, R.; Bucur, I.G. ; Groot, P. ; Heskes, T.
2019, Article / Letter to editor (Statistics and Computing, vol. 29, iss. 5, (2019), pp. 977-993)
Estimating the long-term effect of early levodopa treatment initiation in Parkinson's disease
van der Heuvel, L.; Krijthe, J.H.; Evers, L.J.W. ; Meinders, M.; Post, B. ; Heskes, T.M. ; Bloem, B.
2019, Article / Letter to editor (Movement Disorders, vol. 34, iss. S.I., (2019), pp. S463, article 1134)
Real-life gait performance as a marker for motor fluctuations: the Parkinson@home Validation study
Evers, L.J.W. ; Raykov, J.; Badawy, R.; Claes, K.; Meinders, M.; Krijthe, J.H.; Heskes, T.M. ; Little, M.; Bloem, B.
2019, Article / Letter to editor (Movement Disorders, vol. 34, iss. S.I., (2019), pp. S341-S342, article 861)
Measuring Parkinson's disease over time: The real-world within-subject reliability of the MDS-UPDRS
Evers, L.J.W. ; Krijthe, Jesse H.; Meinders, M.J. ; Bloem, B.R. ; Heskes, T.M.
2019, Article / Letter to editor (Movement Disorders, vol. 34, (2019), pp. 1480-1487)
Stable specification search in structural equation models with latent variables
Rahmadi, R.; Groot, P. ; Heskes, T.
2019, Article / Letter to editor (ACM Transactions on Intelligent Systems and Technology, vol. 10, iss. 5, (2019), pp. 1-23)
Bigger Buffer k-d Trees on Multi-Many-Core Systems
Gieseke, F.; Oancea, C.E.; Mahabal, A.; Igel, C.; Heskes, T.
2019, Article in monograph or in proceedings (Senger, H. (ed.), High Performance Computing for Computational Science – VECPAR 2018: 13th International Conference, São Pedro, Brazil, September 17-19, 2018, Revised Selected Papers, pp. 202-214)
Large-scale local causal inference of gene regulatory relationships
Bucur, I.G. ; Claassen, T. ; Heskes, T.
2019, Article / Letter to editor (International Journal of Approximate Reasoning, vol. 115, iss. December, (2019), pp. 50-68)
Gene expression dependency and interaction of functional annotation in GWAS
Leeuw, Chr. de; Posthuma, D.; Heskes, T.
2019, Article / Letter to editor (European Neuropsychopharmacology, vol. 29, (2019), pp. 1123-1124)
Application of A Causal Discovery Model to Study The Effect of Iron Supplementation in Children with Iron Deficiency Anemia
Nugroho, F.A.; Ederveen, T.H. ; Wibowo, A.; Boekhorst, J; Jonge, M.I. de ; Heskes, T.
2019, Article in monograph or in proceedings (Kusumaningrum, R. (ed.), ICISoS 2019: 3rd International Conference on Informatics and Computational Sciences (ICICoS),October 29-30, 2019 in Semarang, Indonesia. Proceedings, pp. 1-5)
NOVEL QUANTITATIVE METHOD FOR GENETIC ASSOCIATION TESTING
Schoenmacker, G.H.; Claassen, T. ; Heskes, T. ; Franke, B. ; Buitelaar, J.K. ; Arias Vasquez, A.
2019, Article / Letter to editor (European Neuropsychopharmacology, vol. 29, (2019), pp. S963-S964)
Frontostriatal functional connectivity correlates with repetitive behaviour across autism spectrum disorder and obsessive-compulsive disorder
Akkermans, S.E.A. ; Rheinheimer, N. ; Bruchhage, Muriel M.K.; Durston, Sarah; Brandeis, D.; Banaschewski, Tobias; Buitelaar, J.K. ; Rooij, D. van ; Oldehinkel, Marianne ; Ruiter, S.W. de ; Naaijen, J. ; Mennes, Maarten ; Zwiers, M.P. ; Ilbegi, S. ; Glennon, J.C. ; Vondervoort, I.I.G.M. van de ; Havenith, M.N. ; Franke, B. ; Poelmans, G.J.V. ; Bralten, J.B. ; Heskes, Tom ; Groot, P. ; Schwalber, Ameli; Auby, Philippe et al. sine al.
2019, Article / Letter to editor (Psychological Medicine, vol. 49, iss. 13, (2019), pp. 2247-2255)
Additive Dose Response Models: Explicit Formulation and the Loewe Additivity Consistency Condition
Lederer, S.I.; Dijkstra, T.M.H. ; Heskes, T.
2018, Article / Letter to editor (Frontiers in Pharmacology, vol. 9, (2018), pp. 1-11, article 31)
Conditional and interaction gene-set analysis reveals novel functional pathways for blood pressure
Leeuw, C.A. de; Stringer, S.; Dekkers, Ilona A.; Heskes, T. ; Posthuma, D.
2018, Article / Letter to editor (Nature Communications, vol. 9, (2018), article 3768)
Handwritten characters in fMRI ('BRAINS' data set)
Schoenmakers, S. ; Barth, M. ; Heskes, T.M. ; Gerven, M.A.J. van
2018, Dataset
Handwritten digits in fMRI ('69' data set)
Gerven, M.A.J. van ; Lange, F.P. de ; Heskes, T.M.
2018, Dataset
A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks
Bucur, I.G. ; Bussel, T.; Claassen, T. ; Heskes, T.
2018, Article in monograph or in proceedings (Kratochvíl, V.; Studený, M. (ed.), International Conference on Probabilistic Graphical Models, 11-14 September 2018, Prague, Czech Republic, pp. 37-48)
A scalable preference model for autonomous decision-making
Peters, M; Saar-Tsechansky, Maytal; Ketter, W.; Williamson, S.; Groot, P. ; Heskes, T.
2018, Article / Letter to editor (Machine Learning, vol. 107, iss. 6, (2018), pp. 1039-1068)
Learning the causal structure of Copula Models with Latent Variables
Cui, R.; Groot, Perry ; Schauer, M.; Heskes, T.
2018, Article in monograph or in proceedings (Globerson, A. (ed.), Uncertainty in Artificial Intelligence: Proceedings of the Thirty-Fourth Conference (2018) August 6-10, 2018, Monterey, California, USA, pp. 188-197)
Causality on longitudinal data: Stable specification search in constrained structural equation modeling
Rahmadi, R.; Groot, P. ; Rijn, M.H.C. van ; Brand, J. van den ; Heins, M.; Knoop, H. ; Heskes, T.
2018, Article / Letter to editor (Statistical Methods in Medical Research, vol. 27, iss. 12, (2018), pp. 3814-3834)
Bayesian data integration for quantifying the contribution of diverse measurements to parameter estimates
Thijssen, B.; Dijkstra, T.M.H.; Heskes, T. ; Wessels, L.F.A.
2018, Article / Letter to editor (Bioinformatics, vol. 34, iss. 5, (2018), pp. 803-811)
The stablespec package for causal discovery on cross-sectional and longitudinal data in R
Rahmadi, R.; Groot, P. ; Heskes, Tom
2018, Article / Letter to editor (Neurocomputing, vol. 275, iss. Supplement C, (2018), pp. 2440-2443)
Package ‘stablespec’
Rahmadi, R.; Groot, P. ; Heskes, T. ; Stich, C.; Heins, M.; Knoop, H.
2017, Dataset
Exact p-values for pairwise comparison of Friedman rank sums, with application to comparing classifiers
Eisinga, R.N. ; Heskes, T.M. ; Pelzer, B.J. ; Grotenhuis, H.F. te
2017, Article / Letter to editor (BMC Bioinformatics, vol. 18, (2017), article 68)
RankProd 2.0: A refactored bioconductor package for detecting differentially expressed features in molecular profiling datasets
Carratore, F. del; Jankevics, A.; Eisinga, R.N. ; Heskes, T.M. ; Hong, F.; Breitling, R.
2017, Article / Letter to editor (Bioinformatics, vol. 33, iss. 17, (2017), pp. 2774-2775)
Robust causal estimation in the large-sample limit without strict faithfulness
Bucur, I.G. ; Heskes, T. ; Claassen, T.
2017, Article in monograph or in proceedings (Aarti, S. (ed.), Proceedings of Machine Learning Research, pp. 1523-1531)
Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities
Ghafoorian, M.; Karssemeijer, N. ; Heskes, T.M. ; Uden, I.W.M. van ; Sanchez, C.I. ; Litjens, G.J.; Leeuw, F.E. de ; Ginneken, B. van ; Marchiori, E. ; Platel, B.
2017, Article / Letter to editor (Scientific Reports, vol. 7, (2017), article 5110)
Deep multi-scale location-aware 3D convolutional neural networks for automated detection of lacunes of presumed vascular origin
Ghafoorian, M.; Karssemeijer, N. ; Heskes, T. ; Bergkamp, M.I. ; Wissink, J.; Obels, J.; Keizer, K.; Leeuw, F.E. de ; Ginneken, B. van ; Marchiori, E. ; Platel, B. et al. sine al.
2017, Article / Letter to editor (Neuroimage. Clinical, vol. 14, (2017), pp. 391-399)
A Causal and Mediation Analysis of the Comorbidity Between Attention Deficit Hyperactivity Disorder (ADHD) and Autism Spectrum Disorder (ASD)
Sokolova, E.S. ; Sluiter-Oerlemans, A.M. ; Rommelse, N.N.J. ; Groot, P. ; Hartman, C.A; Glennon, J.C. ; Claassen, T. ; Heskes, T. ; Buitelaar, J.K.
2017, Article / Letter to editor (Journal of Autism and Developmental Disorders, vol. 47, iss. 6, (2017), pp. 1595-1604)
Handling hybrid and missing data in constraint-based causal discovery to study the etiology of ADHD
Sokolova, E.S. ; Rhein, D.T. von ; Naaijen, J. ; Groot, P. ; Claassen, T. ; Buitelaar, J.K. ; Heskes, T.M.
2017, Article / Letter to editor (International Journal of Data Science and Analytics, vol. 3, iss. 2, (2017), pp. 105-119)

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