| 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 |
0.484 |
|
| 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 |
0.31 |
|
| 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 |
0.302 |
|
| 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 |
0.527 |
|
| 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 |
0.319 |
|
| 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 |
0.303 |
|
| 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 |
0.312 |
|
| 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 |
0.344 |
|
| 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 |
0.54 |
|
| 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 |
0.321 |
|
| 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 |
0.541 |
|
| 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 |
0.347 |
|
| 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 |
0.32 |
|
| 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 |
0.32 |
|
| 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 |
0.534 |
|
| 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 |
0.325 |
|
| 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 |
0.744 |
|
| 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 |
0.72 |
|
| 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 |
0.749 |
|
| 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 |
0.728 |
|
| 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 |
0.546 |
|
| 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 |
0.541 |
|
| 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 |
0.738 |
|
| 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 |
0.695 |
|
| 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 |
0.68 |
|
| 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 |
0.731 |
|
| 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 |
0.508 |
|
| 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 |
0.739 |
|
| 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 |
0.737 |
|
| 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 |
0.508 |
|
| 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 |
0.514 |
|
| 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 |
0.723 |
|
| 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 |
0.768 |
|
| 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 |
0.723 |
|
| 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 |
0.717 |
|
| 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 |
0.526 |
|
| 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 |
0.741 |
|
| 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 |
0.758 |
|
| 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 |
0.742 |
|
| 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. |
0.411 |
|
| 2010 |
van Gerven M, Heskes T. Sparse orthonormalized partial least squares Belgian/Netherlands Artificial Intelligence Conference. |
0.693 |
|
| 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 |
0.503 |
|
| 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 |
0.769 |
|
| 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. |
0.676 |
|
| 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. |
0.429 |
|
| 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. |
0.734 |
|
| 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 |
0.396 |
|
| 2008 |
Jurgelenaite R, Heskes T. Learning symmetric causal independence models Machine Learning. 71: 133-153. DOI: 10.1007/S10994-007-5041-7 |
0.339 |
|
| 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 |
0.71 |
|
| 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 |
0.353 |
|
| 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 |
0.335 |
|
| 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 |
0.357 |
|
| 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 |
0.328 |
|
| 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 |
0.493 |
|
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