Tom Heskes
Orcid: 0000-0002-3398-5235Affiliations:
- Radboud University Nijmegen, NL
According to our database1,
Tom Heskes
authored at least 184 papers
between 1992 and 2024.
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Bibliography
2024
Pfeed: Generating near real-time personalized feeds using precomputed embedding similarities.
CoRR, 2024
2023
Automatic Inference of Fault Tree Models Via Multi-Objective Evolutionary Algorithms.
IEEE Trans. Dependable Secur. Comput., 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
Beyond the Markov Equivalence Class: Extending Causal Discovery under Latent Confounding.
Proceedings of the Conference on Causal Learning and Reasoning, 2023
2022
BMC Bioinform., 2022
Proceedings of the Automated Reasoning - 11th International Joint Conference, 2022
2021
IEEE J. Biomed. Health Informatics, 2021
CoRR, 2021
Swift sky localization of gravitational waves using deep learning seeded importance sampling.
CoRR, 2021
2020
MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020
Discovering cause-effect relationships in spatial systems with a known direction based on observational data.
Proceedings of the International Conference on Probabilistic Graphical Models, 2020
Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
ACM Trans. Intell. Syst. Technol., 2019
Learning causal structure from mixed data with missing values using Gaussian copula models.
Stat. Comput., 2019
A novel Bayesian approach for latent variable modeling from mixed data with missing values.
Stat. Comput., 2019
Hierarchical Bayesian inference for concurrent model fitting and comparison for group studies.
PLoS Comput. Biol., 2019
Int. J. Approx. Reason., 2019
CoRR, 2019
2018
The stablespec package for causal discovery on cross-sectional and longitudinal data in R.
Neurocomputing, 2018
CoRR, 2018
Bayesian data integration for quantifying the contribution of diverse measurements to parameter estimates.
Bioinform., 2018
Proceedings of the High Performance Computing for Computational Science - VECPAR 2018, 2018
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018
A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks.
Proceedings of the International Conference on Probabilistic Graphical Models, 2018
2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Neural Process. Lett., 2017
Handling hybrid and missing data in constraint-based causal discovery to study the etiology of ADHD.
Int. J. Data Sci. Anal., 2017
Exact p-values for pairwise comparison of Friedman rank sums, with application to comparing classifiers.
BMC Bioinform., 2017
RankProd 2.0: a refactored bioconductor package for detecting differentially expressed features in molecular profiling datasets.
Bioinform., 2017
Causality on cross-sectional data: Stable specification search in constrained structural equation modeling.
Appl. Soft Comput., 2017
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Robust Estimation of Gaussian Copula Causal Structure from Mixed Data with Missing Values.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
2016
Causality on Longitudinal Data: Stable Specification Search in Constrained Structural Equation Modeling.
CoRR, 2016
Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities.
CoRR, 2016
Deep Multi-scale Location-aware 3D Convolutional Neural Networks for Automated Detection of Lacunes of Presumed Vascular Origin.
CoRR, 2016
The Artificial Mind's Eye: Resisting Adversarials for Convolutional Neural Networks using Internal Projection.
CoRR, 2016
BMC Syst. Biol., 2016
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016
A single-layer network unsupervised feature learning method for white matter hyperintensity segmentation.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
Non-uniform patch sampling with deep convolutional neural networks for white matter hyperintensity segmentation.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Causal Discovery from Big Data - Mission (Im)possible?.
Proceedings of the 8th International Conference on Agents and Artificial Intelligence (ICAART 2016), 2016
Exploring Constraint: Simulating Self-Organization and Autogenesis in the Autogenic Automaton.
Proceedings of the Fifteenth International Conference on the Simulation and Synthesis of Living Systems, 2016
2015
A Bayesian Framework for Combining Protein and Network Topology Information for Predicting Protein-Protein Interactions.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015
Bayesian Estimation of Conditional Independence Graphs Improves Functional Connectivity Estimates.
PLoS Comput. Biol., 2015
Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015
Causality on Longitudinal Data: Stable Specification Search in Constrained Structural Equation Modeling.
Proceedings of the 1st International Workshop on Advanced Analytics and Learning on Temporal Data, 2015
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Proceedings of the Advances in Computational Intelligence, 2015
Proceedings of the Advances in Intelligent Data Analysis XIV, 2015
Proceedings of the Discovery Science - 18th International Conference, 2015
Causal Discovery from Medical Data: Dealing with Missing Values and a Mixture of Discrete and Continuous Data.
Proceedings of the Artificial Intelligence in Medicine, 2015
2014
J. Autom. Reason., 2014
Gaussian mixture models and semantic gating improve reconstructions from human brain activity.
Frontiers Comput. Neurosci., 2014
Frontiers Comput. Neurosci., 2014
A fast algorithm for determining bounds and accurate approximate p-values of the rank product statistic for replicate experiments.
BMC Bioinform., 2014
BMC Bioinform., 2014
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014
Proceedings of the Pattern Recognition in Bioinformatics, 2014
Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014
Proceedings of the INTERSPEECH 2014, 2014
Proceedings of the Neural Information Processing - 21st International Conference, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014
2013
NeuroImage, 2013
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013
Proceedings of the Partially Supervised Learning - Second IAPR International Workshop, 2013
Multi-view Multi-class Classification for Identification of Pathogenic Bacterial Strains.
Proceedings of the Multiple Classifier Systems, 11th International Workshop, 2013
Proceedings of the IJCAI 2013, 2013
Proceedings of the IEEE International Conference on Image Processing, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013
Proceedings of the Eighth Workshop on Innovative Use of NLP for Building Educational Applications, 2013
2012
Molecular Machines in the Synapse: Overlapping Protein Sets Control Distinct Steps in Neurosecretion.
PLoS Comput. Biol., 2012
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012
Proceedings of the Discovery Science - 15th International Conference, 2012
Overview and Evaluation of Premise Selection Techniques for Large Theory Mathematics.
Proceedings of the Automated Reasoning - 6th International Joint Conference, 2012
2011
IEEE Trans. Neural Networks, 2011
Predicting Preference Judgments of Individual Normal and Hearing-Impaired Listeners With Gaussian Processes.
IEEE Trans. Speech Audio Process., 2011
J. Artif. Intell. Res., 2011
Proceedings of the UAI 2011, 2011
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011
Proceedings of the Intelligent Computer Mathematics - 18th Symposium, 2011
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011
Multi-output Ranking for Automated Reasoning.
Proceedings of the KDIR 2011, 2011
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
2010
Efficient Bayesian multivariate fMRI analysis using a sparsifying spatio-temporal prior.
NeuroImage, 2010
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
Neurocomputing, 2010
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
Proceedings of the ECAI 2010, 2010
Proceedings of the Preference Learning., 2010
2009
Neural Networks, 2009
Bioinform., 2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009
2008
Proceedings of the UAI 2008, 2008
2007
Comput. Stat. Data Anal., 2007
Artif. Intell. Medicine, 2007
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007
Regulator Discovery from Gene Expression Time Series of Malaria Parasites: a Hierachical Approach.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
2006
Deterministic approximate inference techniques for conditionally Gaussian state space models.
Stat. Comput., 2006
Convexity Arguments for Efficient Minimization of the Bethe and Kikuchi Free Energies.
J. Artif. Intell. Res., 2006
Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006
Proceedings of the Machine Learning: ECML 2006, 2006
2005
Novel approximations for inference in nonlinear dynamical systems using expectation propagation.
Neurocomputing, 2005
Proceedings of the Research and Development in Intelligent Systems XXII, 2005
Gaussian Quadrature Based Expectation Propagation.
Proceedings of the BNAIC 2005, 2005
Use of the Noisy Threshold Function in Building Bayesian Networks.
Proceedings of the BNAIC 2005, 2005
Incremental Utility Elicitation for Adaptive Personalization.
Proceedings of the BNAIC 2005, 2005
2004
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004
2003
Hierarchical Visualization of Time-Series Data Using Switching Linear Dynamical Systems.
IEEE Trans. Pattern Anal. Mach. Intell., 2003
Neural Comput. Appl., 2003
J. Mach. Learn. Res., 2003
Proceedings of the NNSP 2003, 2003
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003
Generalized belief propagation for approximate inference in hybrid Bayesian networks.
Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003
2002
Proceedings of the UAI '02, 2002
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
Stable Fixed Points of Loopy Belief Propagation Are Local Minima of the Bethe Free Energy.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
Automatic Categorization of Web Pages and User Clustering with Mixtures of Hidden Markov Models.
Proceedings of the WEBKDD 2002, 2002
Proceedings of the Artificial Neural Networks, 2002
2001
IEEE Trans. Neural Networks, 2001
2000
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of Distributions.
Proceedings of the 15th International Conference on Pattern Recognition, 2000
Empirical Bayes for Learning to Learn.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000
Proceedings of the Artificial Neural Networks in Medicine and Biology, 2000
1999
Int. J. Neural Syst., 1999
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999
1998
Solving a Huge Number of Similar Tasks: A Combination of Multi-Task Learning and a Hierarchical Bayesian Approach.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998
1997
Proceedings of the Advances in Neural Information Processing Systems 10, 1997
Proceedings of the Artificial Neural Networks, 1997
1996
IEEE Trans. Neural Networks, 1996
Neural Comput., 1996
Proceedings of the Advances in Neural Information Processing Systems 9, 1996
Proceedings of the Advances in Neural Information Processing Systems 9, 1996
1995
Proceedings of the Neural Networks: Artificial Intelligence and Industrial Applications, 1995
Proceedings of the Neural Networks: Artificial Intelligence and Industrial Applications, 1995
1994
Proceedings of the 2nd European Symposium on Artificial Neural Networks, 1994
1993
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993
1992
Neural Networks, 1992