Spectral Ranking Of Causal Influence In Complex Systems | 0 | 0.34 | 2021 |
Probabilistic modelling of gait for robust passive monitoring in daily life | 0 | 0.34 | 2021 |
A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks. | 0 | 0.34 | 2018 |
Stable specification search in structural equation model with latent variables. | 0 | 0.34 | 2018 |
Exact p-values for pairwise comparison of Friedman rank sums, with application to comparing classifiers. | 3 | 0.37 | 2017 |
Multi-Domain Transfer Component Analysis for Domain Generalization. | 4 | 0.40 | 2017 |
RankProd 2.0: a refactored bioconductor package for detecting differentially expressed features in molecular profiling datasets. | 1 | 0.37 | 2017 |
Handling hybrid and missing data in constraint-based causal discovery to study the etiology of ADHD. | 3 | 0.44 | 2017 |
Massively-Parallel Best Subset Selection For Ordinary Least-Squares Regression | 0 | 0.34 | 2017 |
Location Sensitive Deep Convolutional Neural Networks For Segmentation Of White Matter Hyperintensities | 22 | 0.86 | 2016 |
Copula PC Algorithm for Causal Discovery from Mixed Data. | 4 | 0.44 | 2016 |
Computing Lower and Upper Bounds on the Probability of Causal Statements. | 0 | 0.34 | 2016 |
A single-layer network unsupervised feature learning method for white matter hyperintensity segmentation. | 0 | 0.34 | 2016 |
The Artificial Mind's Eye: Resisting Adversarials for Convolutional Neural Networks using Internal Projection. | 0 | 0.34 | 2016 |
Deep Multi-scale Location-aware 3D Convolutional Neural Networks for Automated Detection of Lacunes of Presumed Vascular Origin. | 5 | 0.40 | 2016 |
A Bayesian Framework for Combining Protein and Network Topology Information for Predicting Protein-Protein Interactions | 3 | 0.44 | 2015 |
Batch Steepest-Descent-Mildest-Ascent for Interactive Maximum Margin Clustering. | 0 | 0.34 | 2015 |
Causality on cross-sectional data: Stable specification search in constrained structural equation modeling. | 3 | 0.43 | 2015 |
Small white matter lesion detection in cerebral small vessel disease | 2 | 0.43 | 2015 |
Keco: Kernel-Based Online Co-Agreement Algorithm | 0 | 0.34 | 2015 |
Bayesian Estimation of Conditional Independence Graphs Improves Functional Connectivity Estimates. | 4 | 0.41 | 2015 |
Magma: Generalized Gene-Set Analysis Of Gwas Data | 9 | 1.06 | 2015 |
Hidden Markov Models for Reading Words from the Human Brain | 0 | 0.34 | 2015 |
Using Topology Information for Protein-Protein Interaction Prediction | 3 | 0.36 | 2014 |
Causal Discovery From Databases With Discrete And Continuous Variables | 7 | 0.57 | 2014 |
A fast algorithm for determining bounds and accurate approximate p-values of the rank product statistic for replicate experiments. | 13 | 0.72 | 2014 |
Unsupervised Feature Learning For Visual Sign Language Identification | 1 | 0.40 | 2014 |
Properties of Bethe free energies and message passing in Gaussian models | 4 | 0.46 | 2014 |
Quantifying uncertainty in brain network measures using Bayesian connectomics. | 2 | 0.36 | 2014 |
Automatic sign language identification | 4 | 0.46 | 2013 |
Learning Sparse Causal Models is not NP-hard. | 9 | 0.71 | 2013 |
Improving native language identification with tf-idf weighting | 9 | 0.53 | 2013 |
Multi-view Multi-class Classification for Identification of Pathogenic Bacterial Strains. | 0 | 0.34 | 2013 |
Bayesian inference of structural brain networks. | 9 | 0.47 | 2013 |
Neighborhood Co-Regularized Multi-View Spectral Clustering Of Microbiome Data | 2 | 0.37 | 2013 |
Linear reconstruction of perceived images from human brain activity. | 21 | 1.00 | 2013 |
Bayesian sparse partial least squares. | 1 | 0.36 | 2013 |
Bayesian probabilities for constraint-based causal discovery | 1 | 0.38 | 2013 |
Molecular Machines in the Synapse: Overlapping Protein Sets Control Distinct Steps in Neurosecretion. | 0 | 0.34 | 2012 |
Approximate Inference and Constrained Optimization | 40 | 4.51 | 2012 |
A Linear Gaussian Framework for Decoding of Perceived Images | 3 | 0.46 | 2012 |
Overview and evaluation of premise selection techniques for large theory mathematics | 31 | 1.20 | 2012 |
Online Co-regularized Algorithms. | 1 | 0.35 | 2012 |
Learning from multiple annotators with Gaussian processes | 20 | 0.91 | 2011 |
Premise Selection for Mathematics by Corpus Analysis and Kernel Methods | 32 | 1.22 | 2011 |
The Dynamic Beamformer. | 1 | 0.35 | 2011 |
Approximate Marginals in Latent Gaussian Models | 11 | 0.96 | 2011 |
A Markov random field approach to neural encoding and decoding | 2 | 0.48 | 2011 |
Learning2Reason | 0 | 0.34 | 2011 |
A structure independent algorithm for causal discovery. | 2 | 0.40 | 2011 |