| Shapley Values for Feature Selection: The Good, the Bad, and the Axioms D Fryer, I Strümke, H Nguyen IEEE Access 9, 144352 - 144360, 2021 | 177 | 2021 |
| Sub‐Weibull distributions: Generalizing sub‐Gaussian and sub‐Exponential properties to heavier tailed distributions M Vladimirova, S Girard, H Nguyen, J Arbel Stat 9 (1), e318, 2020 | 93 | 2020 |
| Expression of PTRF in PC-3 Cells modulates cholesterol dynamics and the actin cytoskeleton impacting secretion pathways KL Inder, YZ Zheng, MJ Davis, H Moon, D Loo, H Nguyen, JA Clements, ... Molecular & Cellular Proteomics 11 (2), 2012 | 79 | 2012 |
| Model‐based clustering and classification of functional data F Chamroukhi, HD Nguyen Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 9 (4 …, 2019 | 70 | 2019 |
| Approximation by finite mixtures of continuous density functions that vanish at infinity TT Nguyen, HD Nguyen, F Chamroukhi, GJ McLachlan Cogent Mathematics & Statistics 7 (1), 1750861, 2020 | 61 | 2020 |
| Laplace mixture of linear experts HD Nguyen, GJ McLachlan Computational Statistics & Data Analysis 93, 177-191, 2016 | 59 | 2016 |
| Multisite generalizability of schizophrenia diagnosis classification based on functional brain connectivity P Orban, C Dansereau, L Desbois, V Mongeau-Pérusse, CÉ Giguère, ... Schizophrenia research 192, 167-171, 2018 | 55 | 2018 |
| Practical and theoretical aspects of mixture‐of‐experts modeling: An overview HD Nguyen, F Chamroukhi Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 8 (4 …, 2018 | 48 | 2018 |
| On approximations via convolution-defined mixture models HD Nguyen, G McLachlan Communications in Statistics-Theory and Methods 48 (16), 3945-3955, 2019 | 46 | 2019 |
| A universal approximation theorem for mixture-of-experts models HD Nguyen, LR Lloyd-Jones, GJ McLachlan Neural computation 28 (12), 2585-2593, 2016 | 41 | 2016 |
| A globally convergent algorithm for lasso-penalized mixture of linear regression models LR Lloyd-Jones, HD Nguyen, GJ McLachlan Computational Statistics & Data Analysis 119, 19-38, 2018 | 36 | 2018 |
| Mini-batch learning of exponential family finite mixture models HD Nguyen, F Forbes, GJ McLachlan Statistics and Computing 30, 731-748, 2020 | 35 | 2020 |
| Online Quantitative Proteomics p-Value Calculator for Permutation-Based Statistical Testing of Peptide Ratios D Chen, A Shah, H Nguyen, D Loo, KL Inder, MM Hill Journal of proteome research 13 (9), 4184-4191, 2014 | 34 | 2014 |
| Pedestrian overpass use and its relationships with digital and social distractions, and overpass characteristics LT Truong, HTT Nguyen, HD Nguyen, HV Vu Accident Analysis & Prevention 131, 234-238, 2019 | 33 | 2019 |
| Approximation results regarding the multiple-output Gaussian gated mixture of linear experts model HD Nguyen, F Chamroukhi, F Forbes Neurocomputing 366, 208-214, 2019 | 32 | 2019 |
| An introduction to Majorization‐Minimization algorithms for machine learning and statistical estimation HD Nguyen Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 7 (2 …, 2017 | 32 | 2017 |
| Approximate Bayesian computation via the energy statistic HD Nguyen, J Arbel, H Lü, F Forbes IEEE Access 8, 131683-131698, 2020 | 29 | 2020 |
| A robust permutation test for quantitative SILAC proteomics experiments HD Nguyen, IA Wood, MM Hill Journal of Integrated OMICS 2 (2), 80-93, 2012 | 26 | 2012 |
| On strict sub-Gaussianity, optimal proxy variance and symmetry for bounded random variables J Arbel, O Marchal, HD Nguyen ESAIM: Probability and Statistics 24, 39-55, 2020 | 25 | 2020 |
| Approximations of conditional probability density functions in Lebesgue spaces via mixture of experts models HD Nguyen, TT Nguyen, F Chamroukhi, GJ McLachlan Journal of Statistical Distributions and Applications 8, 1-15, 2021 | 23 | 2021 |
Geoff McLachlanProfessor of Statistics, University of Queensland在 uq.edu.au 的电子邮件经过验证
