arrow
Back
D

David S. Matteson

Cornell University

26H-index
223Paper Count
3.1KCitation Count
Published Papers 23
Publication Date
Spatial heterogeneity in machine learning-based poverty mapping: Where do models underperform?
err2026-01-15
err0
errOAAI
errYating Ru; Elizabeth Tennant; David S. Matteson; Christopher B. Barrett
errShare
errSave
Widespread Advances in Corn and Soybean Phenology in Response to Future Climate Change Across the United States
err2025-04-01
err0
PREAI
errYang, Yanjun; Tao, Bo; Ruane, Alex C.; Shen, Chaopeng; Matteson, David S.; Cousin, Remi; Ren, Wei
errShare
errSave
Visualizing nanoparticle surface dynamics and instabilities enabled by deep denoising
errSCIENCE
IF45.8
err2025-02-28
err1
PREAI
errCrozier, Peter A.; Leibovich, Matan; Haluai, Piyush; Tan, Mai; Thomas, Andrew M.; Vincent, Joshua; Mohan, Sreyas; Morales, Adria Marcos; Kulkarni, Shreyas A.; Matteson, David S.; Wang, Yifan; Fernandez-Granda, Carlos
errShare
errSave
Vector AutoRegressive Moving Average Models: A Review
err2025-01-13
err0
errOAAI
errDueker, Marie-Christine; Matteson, David S.; Tsay, Ruey S.; Wilms, Ines
errShare
errSave
Generating a multimodal artificial intelligence model to differentiate benign and malignant follicular neoplasms of the thyroid: A proof-of-concept study
errSURGERY
IF2.7
err2024-01-01
err4
PREAI
errLin, Ann C.; Liu, Zelong; Lee, Justine; Ranvier, Gustavo Fernandez; Taye, Aida; Owen, Randall; Matteson, David S.; Lee, Denise
errShare
errSave
Testing Simultaneous Diagonalizability
err2023-06-08
err1
errOAAI
errXu, Yuchen; Duker, Marie-Christine; Matteson, David S. S.
errShare
errSave
Clustering future scenarios based on predicted range maps
err2023-03-31
err0
errOAAI
errDavidow, Matthew; Schafer, Toryn L. J.; Merow, Cory; Che-Castaldo, Judy; Duker, Marie-Christine; Feng, Emily; Matteson, David S.
errShare
errSave
Predicting poverty with vegetation index
err2021-12-23
err9
PREAI
errTang, Binh; Liu, Yanyan; Matteson, David S.
errShare
errSave
Predicting poverty and malnutrition for targeting, mapping, monitoring, and early warning
err2021-07-15
err22
errOAAI
errMcBride, Linden; Barrett, Christopher B.; Browne, Christopher; Hu, Leiqiu; Liu, Yanyan; Matteson, David S.; Sun, Ying; Wen, Jiaming
errShare
errSave
PyXtal_FF: a python library for automated force field generation
err2020-12-28
err20
errOAAI
errYanxon, Howard; Zagaceta, David; Tang, Binh; Matteson, David S.; Zhu, Qiang
errShare
errSave
Dynamic shrinkage processes
err2019-05-28
err57
errOAAI
errKowal, Daniel R.; Matteson, David S.; Ruppert, David
errShare
errSave
Linear Non-Gaussian Component Analysis Via Maximum Likelihood
err2018-07-09
err11
errOAAI
errRisk, Benjamin B.; Matteson, David S.; Ruppert, David
errShare
errSave
errShare
errSave
A Bayesian Multivariate Functional Dynamic Linear Model
err2017-04-17
err45
errOAAI
errKowal, Daniel R.; Matteson, David S.; Ruppert, David
errShare
errSave
Large-network travel time distribution estimation for ambulances
err2016-07-01
err55
errOAAI
errWestgate, Bradford S.; Woodard, Dawn B.; Matteson, David S.; Henderson, Shane G.
errShare
errSave
A Spatio-Temporal Point Process Model for Ambulance Demand
err2015-04-22
err58
errOAAI
errZhou, Zhengyi; Matteson, David S.; Woodard, Dawn B.; Henderson, Shane G.; Micheas, Athanasios C.
errShare
errSave