Tom Heskes, Ph.D. - Publications

Affiliations: 
Radboud University Nijmegen, Nijmegen, Gelderland, Netherlands 
Website:
http://www.cs.ru.nl/~tomh/

71 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2022 Shapovalova Y, Heskes T, Dijkstra T. Non-parametric synergy modeling of chemical compounds with Gaussian processes. Bmc Bioinformatics. 23: 14. PMID 34991440 DOI: 10.1186/s12859-021-04508-7  0.489
2020 Wijayanto F, Mul K, Groot P, van Engelen BGM, Heskes T. Semi-automated Rasch analysis using in-plus-out-of-questionnaire log likelihood. The British Journal of Mathematical and Statistical Psychology. PMID 32857418 DOI: 10.1111/Bmsp.12218  0.311
2020 Lederer S, Heskes T, van Heeringen SJ, Albers CA. Investigating the effect of dependence between conditions with Bayesian Linear Mixed Models for motif activity analysis. Plos One. 15: e0231824. PMID 32357166 DOI: 10.1371/Journal.Pone.0231824  0.303
2019 Lederer S, Dijkstra TMH, Heskes T. Additive Dose Response Models: Defining Synergy. Frontiers in Pharmacology. 10: 1384. PMID 31849651 DOI: 10.3389/Fphar.2019.01384  0.531
2019 Piray P, Dezfouli A, Heskes T, Frank MJ, Daw ND. Hierarchical Bayesian inference for concurrent model fitting and comparison for group studies. Plos Computational Biology. 15: e1007043. PMID 31211783 DOI: 10.1371/Journal.Pcbi.1007043  0.32
2019 Bucur IG, Claassen T, Heskes T. Inferring the direction of a causal link and estimating its effect via a Bayesian Mendelian randomization approach. Statistical Methods in Medical Research. 962280219851817. PMID 31146640 DOI: 10.1177/0962280219851817  0.304
2019 Bucur IG, Claassen T, Heskes T. Large-scale local causal inference of gene regulatory relationships International Journal of Approximate Reasoning. 115: 50-68. DOI: 10.1016/J.Ijar.2019.08.012  0.313
2019 Cui R, Bucur IG, Groot P, Heskes T. A novel Bayesian approach for latent variable modeling from mixed data with missing values Statistics and Computing. 29: 977-993. DOI: 10.1007/S11222-018-09849-7  0.345
2018 Lederer S, Dijkstra TMH, Heskes T. Additive Dose Response Models: Explicit Formulation and the Loewe Additivity Consistency Condition. Frontiers in Pharmacology. 9: 31. PMID 29467650 DOI: 10.3389/Fphar.2018.00031  0.544
2018 Cui R, Groot P, Heskes T. Learning causal structure from mixed data with missing values using Gaussian copula models Statistics and Computing. 29: 311-333. DOI: 10.1007/S11222-018-9810-X  0.323
2017 Thijssen B, Dijkstra TMH, Heskes T, Wessels LFA. Bayesian data integration for quantifying the contribution of diverse measurements to parameter estimates. Bioinformatics (Oxford, England). PMID 29069283 DOI: 10.1093/Bioinformatics/Btx666  0.545
2017 Ghafoorian M, Karssemeijer N, Heskes T, van Uden IWM, Sanchez CI, Litjens G, de Leeuw FE, van Ginneken B, Marchiori E, Platel B. Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities. Scientific Reports. 7: 5110. PMID 28698556 DOI: 10.1038/S41598-017-05300-5  0.339
2017 Rahmadi R, Groot P, van Rijn MH, van den Brand JA, Heins M, Knoop H, Heskes T. Causality on longitudinal data: Stable specification search in constrained structural equation modeling. Statistical Methods in Medical Research. 962280217713347. PMID 28657454 DOI: 10.1177/0962280217713347  0.348
2017 Ghafoorian M, Karssemeijer N, Heskes T, Bergkamp M, Wissink J, Obels J, Keizer K, Leeuw FE, Ginneken BV, Marchiori E, Platel B. Deep multi-scale location-aware 3D convolutional neural networks for automated detection of lacunes of presumed vascular origin. Neuroimage. Clinical. 14: 391-399. PMID 28271039 DOI: 10.1016/J.Nicl.2017.01.033  0.321
2017 Gieseke F, Bloemen S, van den Bogaard C, Heskes T, Kindler J, Scalzo RA, Ribeiro VARM, van Roestel J, Groot PJ, Yuan F, Möller A, Tucker BE. Convolutional neural networks for transient candidate vetting in large-scale surveys Monthly Notices of the Royal Astronomical Society. 472: 3101-3114. DOI: 10.1093/Mnras/Stx2161  0.321
2017 Rahmadi R, Groot P, Heins M, Knoop H, Heskes T. Causality on cross-sectional data: Stable specification search in constrained structural equation modeling Applied Soft Computing. 52: 687-698. DOI: 10.1016/J.Asoc.2016.10.003  0.338
2016 Thijssen B, Dijkstra TM, Heskes T, Wessels LF. BCM: toolkit for Bayesian analysis of Computational Models using samplers. Bmc Systems Biology. 10: 100. PMID 27769238 DOI: 10.1186/S12918-016-0339-3  0.538
2016 Vijverberg K, Ghafoorian M, Uden IWMv, Leeuw Fd, Platel B, Heskes T. A single-layer network unsupervised feature learning method for white matter hyperintensity segmentation Proceedings of Spie. 9785. DOI: 10.1117/12.2216409  0.338
2016 Cseke B, Zammit-Mangion A, Heskes T, Sanguinetti G. Sparse Approximate Inference for Spatio-Temporal Point Process Models Journal of the American Statistical Association. 111: 1746-1763. DOI: 10.1080/01621459.2015.1115357  0.326
2015 Hinne M, Janssen RJ, Heskes T, van Gerven MA. Bayesian Estimation of Conditional Independence Graphs Improves Functional Connectivity Estimates. Plos Computational Biology. 11: e1004534. PMID 26540089 DOI: 10.1371/Journal.Pcbi.1004534  0.753
2015 Sokolova E, Hoogman M, Groot P, Claassen T, Vasquez AA, Buitelaar JK, Franke B, Heskes T. Causal discovery in an adult ADHD data set suggests indirect link between DAT1 genetic variants and striatal brain activation during reward processing. American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics : the Official Publication of the International Society of Psychiatric Genetics. PMID 25847847 DOI: 10.1002/Ajmg.B.32310  0.326
2015 Hinne M, Ekman M, Janssen RJ, Heskes T, van Gerven MA. Probabilistic clustering of the human connectome identifies communities and hubs. Plos One. 10: e0117179. PMID 25635390 DOI: 10.1371/Journal.Pone.0117179  0.729
2014 Schoenmakers S, Güçlü U, van Gerven M, Heskes T. Gaussian mixture models and semantic gating improve reconstructions from human brain activity. Frontiers in Computational Neuroscience. 8: 173. PMID 25688202 DOI: 10.3389/Fncom.2014.00173  0.758
2014 Janssen RJ, Hinne M, Heskes T, van Gerven MA. Quantifying uncertainty in brain network measures using Bayesian connectomics. Frontiers in Computational Neuroscience. 8: 126. PMID 25339896 DOI: 10.3389/Fncom.2014.00126  0.738
2014 Abbas SS, Dijkstra TM, Heskes T. A comparative study of cell classifiers for image-based high-throughput screening. Bmc Bioinformatics. 15: 342. PMID 25336059 DOI: 10.1186/1471-2105-15-342  0.55
2014 Koopmans F, Cornelisse LN, Heskes T, Dijkstra TM. Empirical Bayesian random censoring threshold model improves detection of differentially abundant proteins. Journal of Proteome Research. 13: 3871-80. PMID 25102230 DOI: 10.1021/Pr500171U  0.545
2014 Hinne M, Ambrogioni L, Janssen RJ, Heskes T, van Gerven MA. Structurally-informed Bayesian functional connectivity analysis. Neuroimage. 86: 294-305. PMID 24121202 DOI: 10.1016/J.Neuroimage.2013.09.075  0.747
2014 Schoenmakers S, Van Gerven M, Heskes T. Gaussian mixture models improve fMRI-based image reconstruction Proceedings - 2014 International Workshop On Pattern Recognition in Neuroimaging, Prni 2014. DOI: 10.1109/PRNI.2014.6858542  0.707
2014 Alama J, Heskes T, Kühlwein D, Tsivtsivadze E, Urban J. Premise selection for mathematics by corpus analysis and Kernel methods Journal of Automated Reasoning. 52: 191-213. DOI: 10.1007/S10817-013-9286-5  0.301
2014 Hinne M, Lenkoski A, Heskes T, van Gerven M. Efficient sampling of Gaussian graphical models using conditional Bayes factors Stat. 3: 326-336. DOI: 10.1002/sta4.66  0.692
2013 Vidaurre D, van Gerven MA, Bielza C, Larrañaga P, Heskes T. Bayesian sparse partial least squares. Neural Computation. 25: 3318-39. PMID 24047319 DOI: 10.1162/Neco_A_00524  0.74
2013 Abbas SS, Dijkstra TM, Heskes T. A direct comparison of visual discrimination of shape and size on a large range of aspect ratios. Vision Research. 91: 84-92. PMID 23942288 DOI: 10.1016/J.Visres.2013.08.001  0.512
2013 Schoenmakers S, Barth M, Heskes T, van Gerven M. Linear reconstruction of perceived images from human brain activity. Neuroimage. 83: 951-61. PMID 23886984 DOI: 10.1016/J.Neuroimage.2013.07.043  0.749
2013 Hinne M, Heskes T, Beckmann CF, van Gerven MA. Bayesian inference of structural brain networks. Neuroimage. 66: 543-52. PMID 23041334 DOI: 10.1016/J.Neuroimage.2012.09.068  0.746
2013 Abbas SS, Heskes T, Zoeter OR, Dijkstra TMH. A Bayesian psychophysical model for angular variables Journal of Mathematical Psychology. 57: 134-139. DOI: 10.1016/J.Jmp.2013.06.003  0.512
2013 Birlutiu A, Groot P, Heskes T. Efficiently learning the preferences of people Machine Learning. 90: 1-28. DOI: 10.1007/S10994-012-5297-4  0.308
2012 Cornelisse LN, Tsivtsivadze E, Meijer M, Dijkstra TM, Heskes T, Verhage M. Molecular machines in the synapse: overlapping protein sets control distinct steps in neurosecretion. Plos Computational Biology. 8: e1002450. PMID 22496630 DOI: 10.1371/Journal.Pcbi.1002450  0.518
2012 van Gerven MA, Chao ZC, Heskes T. On the decoding of intracranial data using sparse orthonormalized partial least squares. Journal of Neural Engineering. 9: 026017. PMID 22414639 DOI: 10.1088/1741-2560/9/2/026017  0.732
2012 Wouters HJP, Van Gerven MAJ, Treder MS, Heskes T, Bahramisharif A. Covert attention as a paradigm for subject-independent brain-computer interfacing Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7263: 156-163. DOI: 10.1007/978-3-642-34713-9_20  0.769
2012 Bahramisharif A, Van Gerven MAJ, Schoffelen JM, Ghahramani Z, Heskes T. The dynamic beamformer Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7263: 148-155. DOI: 10.1007/978-3-642-34713-9_19  0.724
2011 van Gerven MA, Kok P, de Lange FP, Heskes T. Dynamic decoding of ongoing perception. Neuroimage. 57: 950-7. PMID 21609771 DOI: 10.1016/J.Neuroimage.2011.05.020  0.726
2011 Bahramisharif A, Heskes T, Jensen O, van Gerven MA. Lateralized responses during covert attention are modulated by target eccentricity. Neuroscience Letters. 491: 35-9. PMID 21215296 DOI: 10.1016/J.Neulet.2011.01.003  0.745
2011 Groot PC, Heskes T, Dijkstra TMH, Kates JM. Predicting preference judgments of individual normal and hearing-impaired listeners with Gaussian processes Ieee Transactions On Audio, Speech and Language Processing. 19: 811-821. DOI: 10.1109/Tasl.2010.2064311  0.529
2010 van Gerven MA, de Lange FP, Heskes T. Neural decoding with hierarchical generative models. Neural Computation. 22: 3127-42. PMID 20858128 DOI: 10.1162/Neco_A_00047  0.75
2010 Bahramisharif A, van Gerven M, Heskes T, Jensen O. Covert attention allows for continuous control of brain-computer interfaces. The European Journal of Neuroscience. 31: 1501-8. PMID 20525062 DOI: 10.1111/J.1460-9568.2010.07174.X  0.759
2010 van Gerven MA, Cseke B, de Lange FP, Heskes T. Efficient Bayesian multivariate fMRI analysis using a sparsifying spatio-temporal prior. Neuroimage. 50: 150-61. PMID 19958837 DOI: 10.1016/J.Neuroimage.2009.11.064  0.751
2010 Birlutiu A, Groot P, Heskes T. Multi-task preference learning with an application to hearing aid personalization Neurocomputing. 73: 1177-1185. DOI: 10.1016/J.Neucom.2009.11.025  0.312
2010 Dijkstra TMH, Tsivtsivadze E, Heskes T, Marchiori E. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6282.  0.415
2010 van Gerven M, Heskes T. Sparse orthonormalized partial least squares Belgian/Netherlands Artificial Intelligence Conference 0.705
2009 van Gerven M, Bahramisharif A, Heskes T, Jensen O. Selecting features for BCI control based on a covert spatial attention paradigm. Neural Networks : the Official Journal of the International Neural Network Society. 22: 1271-7. PMID 19577900 DOI: 10.1016/J.Neunet.2009.06.004  0.761
2009 Jurgelenaite R, Dijkstra TM, Kocken CH, Heskes T. Gene regulation in the intraerythrocytic cycle of Plasmodium falciparum. Bioinformatics (Oxford, England). 25: 1484-91. PMID 19336444 DOI: 10.1093/Bioinformatics/Btp179  0.507
2009 van Gerven M, Hesse C, Jensen O, Heskes T. Interpreting single trial data using groupwise regularisation. Neuroimage. 46: 665-76. PMID 19285139 DOI: 10.1016/J.Neuroimage.2009.02.041  0.776
2009 Van Gerven M, Cseke B, Oostenveld R, Heskes T. Bayesian source localization with the multivariate laplace prior Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 1901-1909.  0.688
2009 Hernández-Lobato JM, Dijkstra T, Heskes T. Regulator discovery from gene expression time series of malaria parasites: A hierarchical approach Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference 0.434
2009 Bahramisharif A, van Gerven M, Heskes T. Exploring the impact of alternative feature representations on BCI classification Esann 2009 Proceedings, 17th European Symposium On Artificial Neural Networks - Advances in Computational Intelligence and Learning. 455-460.  0.735
2008 Hesse CW, Heskes T, Jensen O. Semi-blind identification of movement-related magnetoencephalogram components using a classification approach. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2008: 2618-21. PMID 19163240 DOI: 10.1109/IEMBS.2008.4649737  0.403
2008 Jurgelenaite R, Heskes T. Learning symmetric causal independence models Machine Learning. 71: 133-153. DOI: 10.1007/S10994-007-5041-7  0.34
2007 van Gerven MA, Jurgelenaite R, Taal BG, Heskes T, Lucas PJ. Predicting carcinoid heart disease with the noisy-threshold classifier. Artificial Intelligence in Medicine. 40: 45-55. PMID 17098402 DOI: 10.1016/J.Artmed.2006.09.003  0.72
2007 Bakker B, Heskes T. Learning and approximate inference in dynamic hierarchical models Computational Statistics and Data Analysis. 52: 821-839. DOI: 10.1016/J.Csda.2007.01.001  0.354
2004 Bakker B, Heskes T, Neijt J, Kappen B. Improving Cox survival analysis with a neural-Bayesian approach. Statistics in Medicine. 23: 2989-3012. PMID 15351957 DOI: 10.1002/Sim.1904  0.336
2004 Bakker B, Heskes T. Task clustering and gating for bayesian multitask learning Journal of Machine Learning Research. 4: 83-99. DOI: 10.1162/153244304322765658  0.311
2003 Bakker B, Heskes T. Clustering ensembles of neural network models. Neural Networks : the Official Journal of the International Neural Network Society. 16: 261-9. PMID 12628611 DOI: 10.1016/S0893-6080(02)00187-9  0.358
2003 Zoeter O, Heskes T. Hierarchical visualization of time-series data using switching linear dynamical systems Ieee Transactions On Pattern Analysis and Machine Intelligence. 25: 1202-1214. DOI: 10.1109/Tpami.2003.1233895  0.337
2002 Heskes T, Bakker B, Kappen B. Approximate algorithms for neural-Bayesian approaches Theoretical Computer Science. 287: 219-238. DOI: 10.1016/S0304-3975(02)00132-9  0.329
2000 Van De Laar P, Heskes T. Input selection based on an ensemble Neurocomputing. 34: 227-238. DOI: 10.1016/S0925-2312(00)00294-0  0.303
1999 van de Laar P, Heskes T, Gielen S. Partial retraining: a new approach to input relevance determination. International Journal of Neural Systems. 9: 75-85. PMID 10401931 DOI: 10.1142/S0129065799000071  0.662
1997 Gielen S, Heskes T, van de Laar P. Task-Dependent Learning of Attention. Neural Networks : the Official Journal of the International Neural Network Society. 10: 981-992. PMID 12662494 DOI: 10.1016/S0893-6080(97)00031-2  0.675
1997 Van De Laar P, Heskes T, Gielen S. Task-dependent learning of attention Neural Networks. 10: 981-992. DOI: 10.1016/S0893-6080(97)00031-2  0.606
1997 Van De Laar P, Gielen S, Heskes T. Input selection with partial retraining Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1327: 469-474.  0.59
1992 Heskes TM, Gielen S. Retrieval of pattern sequences at variable speeds in a neural network with delays Neural Networks. 5: 145-152. DOI: 10.1016/S0893-6080(05)80013-9  0.607
1970 Cornelisse N, Tsivtsivadze E, Meijer M, Dijkstra T, Heskes T, Verhage M. Identification of presynaptic gene clusters in synaptic signaling using functional data from genetic perturbation studies in Hippocampal autapses. Frontiers in Neuroinformatics. DOI: 10.3389/Conf.Neuro.11.2009.08.035  0.497
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