オープン アクセスを義務付けられた論文 - David S. Matteson詳細
一般には非公開: 1 件
Generating a multimodal artificial intelligence model to differentiate benign and malignant follicular neoplasms of the thyroid: A proof-of-concept study
AC Lin, Z Liu, J Lee, GF Ranvier, A Taye, R Owen, DS Matteson, D Lee
Surgery 175 (1), 121-127, 2024
委任: US National Institutes of Health
一般公開: 65 件
VARX-L: Structured regularization for large vector autoregressions with exogenous variables
WB Nicholson, DS Matteson, J Bien
International Journal of Forecasting 33 (3), 627-651, 2017
委任: US National Science Foundation
High Dimensional Forecasting via Interpretable Vector Autoregression
WB Nicholson, I Wilms, J Bien, DS Matteson
J. Mach. Learn. Res. 21, 166:1-166:52, 2020
委任: US National Science Foundation, US Agency for International Development …
Independent component analysis via distance covariance
DS Matteson, RS Tsay
Journal of the American Statistical Association 112 (518), 623-637, 2017
委任: US National Science Foundation
Probabilistic transformer for time series analysis
B Tang, DS Matteson
Advances in Neural Information Processing Systems 34, 23592-23608, 2021
委任: US National Science Foundation, US Agency for International Development
Dynamic shrinkage processes
DR Kowal, DS Matteson, D Ruppert
Journal of the Royal Statistical Society: Series B 81 (4), 781–804, 2019
委任: US National Science Foundation, US Agency for International Development
Large-network travel time distribution estimation for ambulances
BS Westgate, DB Woodard, DS Matteson, SG Henderson
European Journal of Operational Research 252 (1), 322-333, 2016
委任: US National Science Foundation
A Bayesian multivariate functional dynamic linear model
DR Kowal, DS Matteson, D Ruppert
Journal of the American Statistical Association 112 (518), 733-744, 2017
委任: US National Science Foundation
Leveraging cloud data to mitigate user experience from ‘breaking bad’
NA James, A Kejariwal, DS Matteson
2016 IEEE International Conference on Big Data (Big Data), 3499-3508, 2016
委任: US National Science Foundation
BigVAR: Tools for modeling sparse high-dimensional multivariate time series
W Nicholson, DS Matteson, J Bien
arXiv preprint arXiv:1702.07094, 2017
委任: US National Science Foundation
Multivariate random forest prediction of poverty and malnutrition prevalence
C Browne, DS Matteson, L McBride, L Hu, Y Liu, Y Sun, J Wen, CB Barrett
PloS one 16 (9), e0255519, 2021
委任: US Agency for International Development, CGIAR
Functional autoregression for sparsely sampled data
DR Kowal, DS Matteson, D Ruppert
Journal of Business & Economic Statistics 37 (1), 97-109, 2019
委任: US National Science Foundation
Predicting poverty and malnutrition for targeting, mapping, monitoring, and early warning
L McBride, CB Barrett, C Browne, L Hu, Y Liu, DS Matteson, Y Sun, J Wen
Applied Economic Perspectives and Policy, 2021
委任: US Agency for International Development
Deep denoising for scientific discovery: A case study in electron microscopy
S Mohan, R Manzorro, JL Vincent, B Tang, DY Sheth, EP Simoncelli, ...
IEEE Transactions on Computational Imaging 8, 585-597, 2022
委任: US National Science Foundation
Generalizing distance covariance to measure and test multivariate mutual dependence via complete and incomplete V-statistics
Z Jin, DS Matteson
Journal of Multivariate Analysis 168, 304-322, 2018
委任: US National Science Foundation
Developing and evaluating deep neural network-based denoising for nanoparticle TEM images with ultra-low signal-to-noise
JL Vincent, R Manzorro, S Mohan, B Tang, DY Sheth, EP Simoncelli, ...
Microscopy and Microanalysis 27 (6), 1431-1447, 2021
委任: US National Science Foundation
Pruning and Nonparametric Multiple Change Point Detection
W Zhang, NA James, DS Matteson
Data Mining Workshops (ICDMW), 2017 IEEE International Conference on, 288-295, 2017
委任: US National Science Foundation
Predicting Melbourne ambulance demand using kernel warping
Z Zhou, DS Matteson
The Annals of Applied Statistics 10 (4), 1977-1996, 2016
委任: US National Science Foundation
An evaluation of independent component analyses with an application to resting-state fMRI
BB Risk, DS Matteson, D Ruppert, A Eloyan, BS Caffo
Biometrics 70 (1), 224-236, 2014
委任: US National Institutes of Health
PyXtal_FF: a python library for automated force field generation
H Yanxon, D Zagaceta, B Tang, DS Matteson, Q Zhu
Machine Learning: Science and Technology 2 (2), 027001, 2020
委任: US National Science Foundation
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