Browsing by Author "Heskes, T.M."

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)

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)

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.; et al.

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2017, Article / Letter to editor (Monthly Notices of the Royal Astronomical Society, vol. 472, iss. 3, (2017), pp. 3101-3114)

Package ‘stablespec’

Rahmadi, R.; Groot, P. ; Heskes, T. ; Stich, C.; Heins, M.; Knoop, H.

2017, Dataset

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. ; et al.

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2017, Article / Letter to editor (Neuroimage. Clinical, vol. 14, (2017), pp. 391-399)

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)

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)

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)

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)

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)

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)

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)

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)

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)

Automated detection of white matter hyperintensities of all sizes in cerebral small vessel disease

Ghafoorian, M.; Karssemeijer, N. ; Uden, I.W.M. van ; Leeuw, F.E. de ; Heskes, T. ; Marchiori, E. ; Platel, B.

2016, Article / Letter to editor (Medical Physics, vol. 43, iss. 12, (2016), pp. 6246-6258)

Statistical Evidence Suggests that Inattention Drives Hyperactivity/Impulsivity in Attention Deficit-Hyperactivity Disorder

Sokolova, E.S. ; Groot, P.C. ; Claassen, T.; Hulzen, K.J.E. van ; Glennon, J.C.; Franke, B. ; Heskes, T.M. ; Buitelaar, J.K.

2016, Article / Letter to editor (PLoS One, vol. 11, iss. 10, (2016), article e0165120)

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)

KeCo: Kernel-Based Online Co-agreement Algorithm

Wiel, L.; Heskes, T. ; Levin, E.

2015, Part of book or chapter of book (Japkowicz, N.; Matwin, S. (ed.), Discovery Science : 18th International Conference, DS 2015, Banff, AB, Canada, October 4–6, 2015, Proceedings, pp. 308-315)

Batch Steepest-Descent-Mildest-Ascent for Interactive Maximum Margin Clustering

Gieseke, F.C.; Pahikkala, T.; Heskes, T.

2015, Part of book or chapter of book (Fromont, E.; Bie, T. De; Leeuwen, M. van (ed.), Advances in Intelligent Data Analysis XIV : 14th International Symposium, IDA 2015, Saint Etienne, France, October 22–24, 2015, Proceedings, pp. 95-107)

Domain Generalization Based on Transfer Component Analysis

Grubinger, T.; Birlutiu, A.; Schöner, H.; Natschläger, T.; Heskes, T.

2015, Part of book or chapter of book (Rojas, I.; Joya, G.; Catala, A. (ed.), Advances in Computational Intelligence, pp. 325-334)

A Bayesian Framework for Combining Protein and Network Topology Information for Predicting Protein-Protein Interactions

Birlutiu, A.; d'Alche-Buc, F.; Heskes, T.

2015, Article / Letter to editor (Ieee/ACM Transactions on Computational Biology and Bioinformatics, vol. 12, iss. 3, (2015), pp. 538-550)

MAGMA: Generalized Gene-Set Analysis of GWAS Data

Leeuw, C.A. de; Mooij, J.M. ; Heskes, T. ; Posthuma, D.

2015, Article / Letter to editor (Plos Computational Biology, vol. 11, iss. 4, (2015), article e10042)

Probabilistic clustering of the human connectome identifies communities and hubs

Hinne, M. ; Ekman, M. ; Janssen, R.J.; Heskes, T. ; Gerven, M.A.J. van

2015, Article / Letter to editor (PLoS One, vol. 10, iss. 1, (2015), article e0117179)

Bayesian estimation of conditional independence graphs improves functional connectivity estimates

Hinne, M. ; Janssen, R.J.; Heskes, T. ; Gerven, M.A.J. van

2015, Article / Letter to editor (Plos Computational Biology, vol. 11, iss. 11, (2015), article e1004534)

Small white matter lesion detection in cerebral small vessel disease

Ghafoorian, M.; Karssemeijer, N. ; Uden, I.W.M. van ; Leeuw, F.E. de; Heskes, T. ; Marchiori, E. ; Platel, B.

2015, Article in monograph or in proceedings (Hadjiiski, L.M. (ed.), Medical Imaging 2015: Computer-Aided Diagnosis, Orlando, Florida, United States, February 21, 2015, pp. 941411-1-941411-6)

Causality on Longitudinal Data: Stable Specification Search in Constrained Structural Equation Modeling

Rahmadi, R.; Groot, P. ; Heins, M.; Knoop, H.; Heskes, T.

2015, Article in monograph or in proceedings (Douzal-Chouakria, A. (ed.), AALTD 2015 : Advanced Analytics and Learning on Temporal Data : 1st International Workshop on Advanced Analytics and Learning on Temporal Data co-located with The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2015) Porto, Portugal, September 11, 2015, pp. 101-107)

Cognitive behaviour therapy plus aerobic exercise training to increase activity in patients with myotonic dystrophy type 1 (DM1) compared to usual care (OPTIMISTIC): study protocol for randomised controlled trial

Engelen, B.G.M. van ; Groot, P.C. ; Abghari, S.; Aschrafi, A. ; Bouman, S.F.; Cornelissen, Y.; Glennon, J.C.; Heerschap, A. ; Heskamp, L.; Heskes, T. ; et al.

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2015, Article / Letter to editor (Trials, vol. 16, iss. 1, (2015), pp. 1-19, article 224)

Bayesian estimation of conditional independence graphs improves functional connectivity estimates

Hinne, M. ; Janssen, R.J.; Heskes, T. ; Gerven, M.A.J. van

2015, Article / Letter to editor (Plos Computational Biology, vol. 11, iss. 11, (2015), article e1004534)

Probabilistic clustering of the human connectome identifies communities and hubs

Hinne, M. ; Ekman, M. ; Janssen, R.J.; Heskes, T. ; Gerven, M.A.J. van

2015, Article / Letter to editor (PLoS One, vol. 10, iss. 1, (2015), article e0117179)

Causal discovery in an adult ADHD data set suggests indirect link between DAT1 genetic variants and striatal brain activation during reward processing

Sokolova, E.S.; Hoogman, M. ; Groot, P. ; Claassen, T.; Vasquez, A.A.; Buitelaar, J.K. ; Franke, B. ; Heskes, T.

2015, Article / Letter to editor (American Journal of Medical Genetics. Part B : Neuropsychiatric Genetics, vol. 168, iss. 6, (2015), pp. 508-515)

Gaussian mixture models and semantic gating improve reconstructions from human brain activity

Schoenmakers, S. ; Güçlü, U. ; Gerven, M.A.J. van ; Heskes, T.

2015, Article / Letter to editor (Frontiers in Computational Neuroscience, vol. 8, (2015), article 173)

Causal Discovery from Medical Data: Dealing with Missing Values and a Mixture of Discrete and Continuous Data

Sokolova, E.S. ; Groot, P. ; Claassen, T.; Rhein, D.T. von ; Buitelaar, J.K. ; Heskes, T.

2015, Part of book or chapter of book (Holmes, J.H.; Bellazzi, R.; Sacchi, L. (ed.), Artificial Intelligence in Medicine : 15th Conference on Artificial Intelligence in Medicine, AIME 2015, Pavia, Italy, June 17-20, 2015. Proceedings, pp. 177-181)

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