Name
Affiliation
Papers
TOM HESKES
Institute for Computing and Information Sciences, Radboud University Nijmegen, The Netherlands
150
Collaborators
Citations 
PageRank 
220
1519
198.44
Referers 
Referees 
References 
3020
3486
1643
Search Limit
1001000
Title
Citations
PageRank
Year
Spectral Ranking Of Causal Influence In Complex Systems00.342021
Probabilistic modelling of gait for robust passive monitoring in daily life00.342021
A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks.00.342018
Stable specification search in structural equation model with latent variables.00.342018
Exact p-values for pairwise comparison of Friedman rank sums, with application to comparing classifiers.30.372017
Multi-Domain Transfer Component Analysis for Domain Generalization.40.402017
RankProd 2.0: a refactored bioconductor package for detecting differentially expressed features in molecular profiling datasets.10.372017
Handling hybrid and missing data in constraint-based causal discovery to study the etiology of ADHD.30.442017
Massively-Parallel Best Subset Selection For Ordinary Least-Squares Regression00.342017
Location Sensitive Deep Convolutional Neural Networks For Segmentation Of White Matter Hyperintensities220.862016
Copula PC Algorithm for Causal Discovery from Mixed Data.40.442016
Computing Lower and Upper Bounds on the Probability of Causal Statements.00.342016
A single-layer network unsupervised feature learning method for white matter hyperintensity segmentation.00.342016
The Artificial Mind's Eye: Resisting Adversarials for Convolutional Neural Networks using Internal Projection.00.342016
Deep Multi-scale Location-aware 3D Convolutional Neural Networks for Automated Detection of Lacunes of Presumed Vascular Origin.50.402016
A Bayesian Framework for Combining Protein and Network Topology Information for Predicting Protein-Protein Interactions30.442015
Batch Steepest-Descent-Mildest-Ascent for Interactive Maximum Margin Clustering.00.342015
Causality on cross-sectional data: Stable specification search in constrained structural equation modeling.30.432015
Small white matter lesion detection in cerebral small vessel disease20.432015
Keco: Kernel-Based Online Co-Agreement Algorithm00.342015
Bayesian Estimation of Conditional Independence Graphs Improves Functional Connectivity Estimates.40.412015
Magma: Generalized Gene-Set Analysis Of Gwas Data91.062015
Hidden Markov Models for Reading Words from the Human Brain00.342015
Using Topology Information for Protein-Protein Interaction Prediction30.362014
Causal Discovery From Databases With Discrete And Continuous Variables70.572014
A fast algorithm for determining bounds and accurate approximate p-values of the rank product statistic for replicate experiments.130.722014
Unsupervised Feature Learning For Visual Sign Language Identification10.402014
Properties of Bethe free energies and message passing in Gaussian models40.462014
Quantifying uncertainty in brain network measures using Bayesian connectomics.20.362014
Automatic sign language identification40.462013
Learning Sparse Causal Models is not NP-hard.90.712013
Improving native language identification with tf-idf weighting90.532013
Multi-view Multi-class Classification for Identification of Pathogenic Bacterial Strains.00.342013
Bayesian inference of structural brain networks.90.472013
Neighborhood Co-Regularized Multi-View Spectral Clustering Of Microbiome Data20.372013
Linear reconstruction of perceived images from human brain activity.211.002013
Bayesian sparse partial least squares.10.362013
Bayesian probabilities for constraint-based causal discovery10.382013
Molecular Machines in the Synapse: Overlapping Protein Sets Control Distinct Steps in Neurosecretion.00.342012
Approximate Inference and Constrained Optimization404.512012
A Linear Gaussian Framework for Decoding of Perceived Images30.462012
Overview and evaluation of premise selection techniques for large theory mathematics311.202012
Online Co-regularized Algorithms.10.352012
Learning from multiple annotators with Gaussian processes200.912011
Premise Selection for Mathematics by Corpus Analysis and Kernel Methods321.222011
The Dynamic Beamformer.10.352011
Approximate Marginals in Latent Gaussian Models110.962011
A Markov random field approach to neural encoding and decoding20.482011
Learning2Reason00.342011
A structure independent algorithm for causal discovery.20.402011
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