Breidt, Jay
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1

Rubiks: Rapid Explorations and Summarization over High Dime..:

, In: Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, Applications and Technologies,
Mitra, Saptashwa ; Young, Matt ; Breidt, Jay.. - p. 1-11 , 2023
 
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2

A Framework for Profiling Spatial Variability in the Perfor..:

, In: Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, Applications and Technologies,
 
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3

A Data Quality Scorecard to Assess a Data Source's Fitness ..:

, In: 2023 Big Data Meets Survey Science (BigSurv),
Mirel, Lisa B. ; Banks, Julie ; Breidt, Jay... - p. 1-5 , 2023
 
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Resource Efficient Profiling of Spatial Variability in Perf..:

, In: 2022 IEEE International Conference on Big Data (Big Data),
 
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5

Alleviating Resource Requirements for Spatial Deep Learning..:

, In: 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid),
 
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Distributed Orchestration of Regression Models Over Adminis..:

, In: 2021 IEEE/ACM 8th International Conference on Big Data Computing, Applications and Technologies (BDCAT '21),
 
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7

Fish consumption as a driver of risk‐management decisions a..:

Judd, Nancy ; Lowney, Yvette ; Anderson, Paul...
Environmental Toxicology and Chemistry.  34 (2015)  11 - p. 2427-2436 , 2015
 
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8

Nonlinear Time Series: Nonparametric and Parametric Methods:

Breidt, Jay
Journal of the American Statistical Association.  100 (2005)  469 - p. 348-349 , 2005
 
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10

Discussion of the 2022 Hansen Lecture: "The Evolution of th..:

Breidt, F Jay
Journal of Survey Statistics and Methodology.  12 (2023)  2 - p. 305-310 , 2023
 
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13

Modeling ammonia volatilization from urea application to ag..:

Gurung, Ram B. ; Ogle, Stephen M. ; Breidt, F. Jay...
Nutrient Cycling in Agroecosystems.  119 (2021)  2 - p. 259-273 , 2021
 
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