Vu Dinh 个人学术档案 - 学术资源搜索

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	总计	2019 年至今
引用	528	410
h 指数	12	11
i10 指数	14	12

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Lam Si Tung HoAssociate Professor, Department of Mathematics and Statistics, Dalhousie University在 dal.ca 的电子邮件经过验证
Frederick "Erick" A. Matsen IVProfessor, Fred Hutchinson Cancer Research Center在 fredhutch.org 的电子邮件经过验证
Gregery T BuzzardProfessor of Mathematics, Purdue University在 purdue.edu 的电子邮件经过验证
Cuong V. NguyenDurham University在 durham.ac.uk 的电子邮件经过验证
Ann RundellAssociate Professor of Biomedical Engineering, Purdue University在 purdue.edu 的电子邮件经过验证
Binh NguyenAssociate Professor, University of Science, Vietnam.在 hcmus.edu.vn 的电子邮件经过验证
cheng zhangPeking University在 pku.edu.cn 的电子邮件经过验证
Ankush ChakrabartyPrincipal Research Scientist at Mitsubishi Electric Research Laboratories (MERL)在 merl.com 的电子邮件经过验证
Stanislaw H. ŻakProfessor of Electrical and Computer Engineering, Purdue University在 purdue.edu 的电子邮件经过验证
Aaron DarlingIllumina Australia; Professor @ University of Technology Sydney在 illumina.com 的电子邮件经过验证
Brian C. ClaywellLendio在 lendio.com 的电子邮件经过验证
Connor McCoyFred Hutchinson Cancer Research Center在 fhcrc.org 的电子邮件经过验证
Mathieu FourmentUniversity of Technology Sydney在 uts.edu.au 的电子邮件经过验证
Martin CorlessAeronautics & Astronautics, Purdue University在 purdue.edu 的电子邮件经过验证
Arman BilgeComputational evolutionary biologist在 armanbilge.com 的电子邮件经过验证
Bradley J. LucierProfessor Emeritus of Mathematics and Computer Science, Purdue University在 math.purdue.edu 的电子邮件经过验证
Dor Ben-AmotzPurdue University在 purdue.edu 的电子邮件经过验证
Marc A. SuchardProfessor, University of California, Los Angeles在 ucla.edu 的电子邮件经过验证
Huan XuAlibaba Inc在 alibaba-inc.com 的电子邮件经过验证
Jeffrey P PerleyPurdue University在 purdue.edu 的电子邮件经过验证

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Vu Dinh

University of Delaware

在 udel.edu 的电子邮件经过验证 - 首页

Phylogenetics Machine learning Uncertainty quantification


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Support Vector Machine Informed Explicit Nonlinear Model Predictive Control Using Low-Discrepancy Sequences A Chakrabarty, V Dinh, M Corless, AE Rundell, SH Zak, GT Buzzard IEEE, 2016	83	2016
Mel-frequency cepstral coefficients for eye movement identification NV Cuong, V Dinh, LST Ho 2012 ieee 24th international conference on tools with artificial …, 2012	64	2012
Probabilistic path hamiltonian monte carlo V Dinh, A Bilge, C Zhang, FA Matsen IV International Conference on Machine Learning, 1009-1018, 2017	53	2017
Consistent feature selection for analytic deep neural networks VC Dinh, LS Ho Advances in Neural Information Processing Systems 33, 2420-2431, 2020	39	2020
Effective online Bayesian phylogenetics via sequential Monte Carlo with guided proposals M Fourment, BC Claywell, V Dinh, C McCoy, FA Matsen IV, AE Darling Systematic biology 67 (3), 490-502, 2018	36	2018
Online Bayesian phylogenetic inference: theoretical foundations via sequential Monte Carlo V Dinh, AE Darling, FA Matsen IV Systematic biology 67 (3), 503-517, 2018	31	2018
Binary complementary filters for compressive Raman spectroscopy OG Rehrauer, VC Dinh, BR Mankani, GT Buzzard, BJ Lucier, ... Applied spectroscopy 72 (1), 69-78, 2018	30	2018
Robust explicit nonlinear model predictive control with integral sliding mode A Chakrabarty, V Dinh, GT Buzzard, SH Żak, AE Rundell 2014 American Control Conference, 2851-2856, 2014	22	2014
Proceedings of the 34th International Conference on Machine Learning. Proceedings of Machine Learning Research V Dinh, A Bilge, C Zhang, FA Matsen	19	2017
Learning from non-iid data: Fast rates for the one-vs-all multiclass plug-in classifiers V Dinh, LST Ho, NV Cuong, D Nguyen, BT Nguyen Theory and Applications of Models of Computation: 12th Annual Conference …, 2015	18	2015
Fast learning rates with heavy-tailed losses VC Dinh, LS Ho, B Nguyen, D Nguyen Advances in neural information processing systems 29, 2016	16	2016
Generalization and robustness of batched weighted average algorithm with V-geometrically ergodic Markov data NV Cuong, LST Ho, V Dinh Algorithmic Learning Theory: 24th International Conference, ALT 2013 …, 2013	12	2013
Consistent feature selection for neural networks via Adaptive Group Lasso V Dinh, LST Ho arXiv preprint arXiv:2006.00334, 2020	11	2020
Experimental design for dynamics identification of cellular processes V Dinh, AE Rundell, GT Buzzard Bulletin of mathematical biology 76, 597-626, 2014	10	2014
Multi-task learning improves ancestral state reconstruction LST Ho, V Dinh, CV Nguyen Theoretical Population Biology 126, 33-39, 2019	7	2019
Consistency and convergence rate of phylogenetic inference via regularization V Dinh, LST Ho, MA Suchard, FA Matsen IV Annals of statistics 46 (4), 1481, 2018	7	2018
The shape of the one-dimensional phylogenetic likelihood function V Dinh, FA Matsen IV The annals of applied probability: an official journal of the Institute of …, 2017	7	2017
A machine learning approach to identifying important features for achieving step thresholds in individuals with chronic stroke AE Miller, E Russell, DS Reisman, HE Kim, V Dinh Plos one 17 (6), e0270105, 2022	6	2022
Searching for minimal optimal neural networks LST Ho, V Dinh Statistics & Probability Letters 183, 109353, 2022	6	2022
Bayesian active learning with abstention feedbacks CV Nguyen, LST Ho, H Xu, V Dinh, BT Nguyen Neurocomputing 471, 242-250, 2022	6	2022

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