Browsing by Author "Heskes, T.M."

Now showing items 1-50 of 280

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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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, Daniel; 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)
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)
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)
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)
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)
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)
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)
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)
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
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)
Multi-Domain Transfer Component Analysis for Domain Generalization
Grubinger, T.; Birlutiu, Adriana ; Schöner, H.; Natschläger, T.; Heskes, T.
2017, Article / Letter to editor (Neural Processing Letters, vol. 46, iss. 3, (2017), pp. 845-855)
Causality on cross-sectional data: Stable specification search in constrained structural equation modeling
Rahmadi, R.; Groot, P. ; Heins, M.; Knoop, H.; Heskes, T.
2017, Article / Letter to editor (Applied Soft Computing, vol. 52, (2017), pp. 687-698)
Convolutional neural networks for transient candidate vetting in large-scale surveys
Gieseke, F.; Bloemen, S.; Bogaard, C. van den; Heskes, T. ; Kindler, J.; Scalzo, R.A.; Ribeiro, V.A.R.M.; Roestel, J. van; Groot, P.J. ; Yuan, F.; Möller, A.; Tucker, B.E. et al. sine al.
2017, Article / Letter to editor (Monthly Notices of the Royal Astronomical Society, vol. 472, iss. 3, (2017), pp. 3101-3114)
THE STATISTICAL PROPERTIES OF GENE-SET ANALYSIS FOR GWAS DATA
Leeuw, C. de; Neale, B.; Heskes, T. ; Posthuma, D.
2017, Article / Letter to editor (European Neuropsychopharmacology, vol. 27, (2017), pp. S351)
Robust Estimation of Gaussian Copula Causal Structure from Mixed Data with Missing Values
Cui, R.; Groot, P.C. ; Heskes, T.
2017, Article in monograph or in proceedings (Raghavan, V. (ed.), ICDM 2017: 17th IEEE International Conference on Data Mining, 18-21 November 2017 New Orleans, Louisiana, pp. 835-840)
Massively-parallel best subset selection for ordinary least-squares regression
Gieseke, F.; Polsterer, K.L.; Mahabal, A.; Igel, C.; Heskes, T.
2017, Article in monograph or in proceedings (2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017; Hilton Hawaiian Village Resort Honolulu; United States; 27 November 2017 through 1 December 2017. Proceedings, pp. 1-8)
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)
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)
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)
Expectation Propagation
Heskes, T.
2016, Part of book or chapter of book (Sammut, C.; Webb, G.I. (ed.), Encyclopedia of Machine Learning and Data Mining, pp. 482-487)
Sparse Approximate Inference for Spatio-Temporal Point Process Models
Cseke, B. ; Zammit-Mangion, A.; Heskes, T. ; Sanguinetti, G.
2016, Article / Letter to editor (Journal of the American Statistical Association, vol. 111, iss. 516, (2016), pp. 1746-1763)
BCM: toolkit for Bayesian analysis of Computational Models using samplers
Thijssen, B.; Dijkstra, T.M.H. ; Heskes, T. ; Wessels, L.F.A.
2016, Article / Letter to editor (BMC Systems Biology, vol. 10, (2016), pp. 1-8, article 100)
Computing Lower and Upper Bounds on the Probability of Causal Statements
Sokolova, E.S. ; Hoogman, M. ; Groot, P. ; Claassen, T.; Heskes, T.
2016, Article in monograph or in proceedings (Antonucci, A. (ed.), PGM 2016 : Proceedings of the Eighth International Conference on Probabilistic Graphical Models, Lugano, 6-9 September 2016, pp. 487-498)
Non-uniform patch sampling with deep convolutional neural networks for white matter hyperintensity segmentation
Ghafoorian, M.; Karssemeijer, N. ; Heskes, T. ; Uden, I.W.M. van ; Leeuw, F.E. de ; Marchiori, E. ; Ginneken, B. van ; Platel, B.
2016, Article in monograph or in proceedings (Kybic, J. (ed.), ISBI 2016 : IEEE International Symposium on Biomedical Imaging, April 13 – 16, 2016. Prague, Czech Republic, pp. 1414-1417)
Copula PC Algorithm for Causal Discovery from Mixed Data
Cui, R.; Groot, P. ; Heskes, T.
2016, Article in monograph or in proceedings (Frasconi, P.; Landwehr, N.; Manco, G. (ed.), Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II, pp. 377-392)
Exploring constraint: simulating self-organization and autogenesis in the autogenic automaton
Leijnen, S.; Heskes, T. ; Deacon, T.
2016, Article in monograph or in proceedings (Gershenson, C. (ed.), ALIFE : Proceedings of the Artificial Conference 2016, pp. 68-75)
A single-layer network unsupervised feature learning method for white matter hyperintensity segmentation
Vijverberg, Koen; Ghafoorian, M.; Uden, I.W.M. van ; Leeuw, F.-E. de; Platel, B.; Heskes, T.
2016, Article in monograph or in proceedings (Tourassi, G.D. (ed.), Medical Imaging 2016: Computer-Aided Diagnosis : San Diego, California, United States | February 27, 2016, pp. 97851C-97851C-7)
The Artificial Mind’s Eye - Resisting Adversarials for Convolutional Neural Networks using Internal Projection
Berntsen, H.; Kuijper, W.; Heskes, T.
2016, Article in monograph or in proceedings (Hammer, B. (ed.), New Challenges in Neural Computation NC2 – 2016 : Workshop New Challenges in Neural Computation 2016, pp. 72-84)
The statistical properties of gene-set analysis
Leeuw, C.A. de; Neale, B.M.; Heskes, T. ; Posthuma, D.
2016, Article / Letter to editor (Nature Reviews. Genetics, vol. 17, iss. 6, (2016), pp. 353-364)

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