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2020 – today
- 2024
[j9]Allison H. Baker
, Alexander Pinard, Dorit M. Hammerling:
On a Structural Similarity Index Approach for Floating-Point Data. IEEE Trans. Vis. Comput. Graph. 30(9): 6261-6274 (2024)- 2023
- [j8]Mitchell Krock, William Kleiber, Dorit Hammerling, Stephen Becker:
Modeling Massive Highly Multivariate Nonstationary Spatial Data with the Basis Graphical Lasso. J. Comput. Graph. Stat. 32(4): 1472-1487 (2023) - 2022
- [j7]Christopher D. Elvidge, Mikhail N. Zhizhin, David M. Keith, Steven D. Miller, Feng-Chi Hsu, Tilottama Ghosh, Sharolyn Anderson, Christian K. Monrad, Morgan D. Bazilian, Jay Taneja, Paul C. Sutton, John C. Barentine, William S. Kowalik, Christopher C. M. Kyba, Dee W. Pack, Dorit Hammerling:
The VIIRS Day/Night Band: A Flicker Meter in Space? Remote. Sens. 14(6): 1316 (2022) - [c6]Hayden Sather, Alexander Pinard, Allison H. Baker, Dorit M. Hammerling:
What can real information content tell us about compressing climate model data? DRBSD@SC 2022: 29-36 - [i3]Allison H. Baker, Alexander Pinard, Dorit M. Hammerling:
DSSIM: a structural similarity index for floating-point data. CoRR abs/2202.02616 (2022) - 2021
- [j6]Dong H. Ahn, Allison H. Baker, Michael Bentley, Ian Briggs, Ganesh Gopalakrishnan, Dorit M. Hammerling, Ignacio Laguna, Gregory L. Lee, Daniel J. Milroy, Mariana Vertenstein:
Keeping science on keel when software moves. Commun. ACM 64(2): 66-74 (2021) - [j5]Dorit M. Hammerling, Allison H. Baker:
Advancing data compression via noise detection. Nat. Comput. Sci. 1(11): 711-712 (2021) - [i2]Mitchell Krock, William Kleiber, Dorit Hammerling, Stephen Becker:
Modeling massive multivariate spatial data with the basis graphical lasso. CoRR abs/2101.02404 (2021) - 2020
- [j4]Matthew Edwards, Stefano Castruccio, Dorit Hammerling:
Marginally parameterized spatio-temporal models and stepwise maximum likelihood estimation. Comput. Stat. Data Anal. 151: 107018 (2020) - [j3]Andrew Poppick, Joseph Nardi, Noah Feldman, Allison H. Baker, Alexander Pinard, Dorit M. Hammerling:
A statistical analysis of lossily compressed climate model data. Comput. Geosci. 145: 104599 (2020) - [c5]Alexander Pinard, Dorit M. Hammerling, Allison H. Baker:
Assessing Differences in Large Spatio-temporal Climate Datasets with a New Python package. IEEE BigData 2020: 2699-2707
2010 – 2019
- 2019
- [j2]Allison H. Baker, Dorit Hammerling, Terece L. Turton:
Evaluating image quality measures to assess the impact of lossy data compression applied to climate simulation data. Comput. Graph. Forum 38(3): 517-528 (2019) - [c4]Daniel J. Milroy, Allison H. Baker, Dorit M. Hammerling, Youngsung Kim, Elizabeth R. Jessup, Thomas Hauser:
Making Root Cause Analysis Feasible for Large Code Bases: A Solution Approach for a Climate Model. HPDC 2019: 73-84 - 2018
- [i1]Daniel J. Milroy, Allison H. Baker, Dorit M. Hammerling, Youngsung Kim, Elizabeth R. Jessup, Thomas Hauser:
Making root cause analysis feasible for large code bases: a solution approach for a climate model. CoRR abs/1810.13432 (2018) - 2017
- [j1]Matthias Katzfuss, Dorit Hammerling:
Parallel inference for massive distributed spatial data using low-rank models. Stat. Comput. 27(2): 363-375 (2017) - [c3]Allison H. Baker, Daniel J. Milroy, Dorit M. Hammerling, Haiying Xu:
Quality Assurance and Error Identification for the Community Earth System Model. CORRECTNESS@SC 2017: 8-13 - [c2]Allison H. Baker, Haiying Xu, Dorit M. Hammerling, Shaomeng Li, John P. Clyne:
Toward a Multi-method Approach: Lossy Data Compression for Climate Simulation Data. ISC Workshops 2017: 30-42 - 2016
- [c1]Daniel Milroy, Allison H. Baker, Dorit Hammerling, John M. Dennis, Sheri A. Mickelson, Elizabeth R. Jessup:
Towards Characterizing the Variability of Statistically Consistent Community Earth System Model Simulations. ICCS 2016: 1589-1600
Coauthor Index
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