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F. Jay Breidt
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2020 – today
- 2023
- [c9]Menuka Warushavithana
, Kassidy Barram
A Framework for Profiling Spatial Variability in the Performance of Classification Models. BDCAT 2023: 06:1-06:11 - [c8]Saptashwa Mitra
Rubiks: Rapid Explorations and Summarization over High Dimensional Spatiotemporal Datasets. BDCAT 2023: 11:1-11:11 - 2022
- [j4]Samuel Armstrong
Attention-based convolutional capsules for evapotranspiration estimation at scale. Environ. Model. Softw. 152: 105366 (2022) - [c7]Caleb Carlson, Menuka Warushavithana, Saptashwa Mitra, Kassidy Barram, Sudipto Ghosh, F. Jay Breidt
Resource Efficient Profiling of Spatial Variability in Performance of Regression Models. IEEE Big Data 2022: 437-444 - [c6]Saptashwa Mitra, Menuka Warushavithana, Mazdak Arabi, F. Jay Breidt
Alleviating Resource Requirements for Spatial Deep Learning Workloads. CCGRID 2022: 452-462 - 2021
- [c5]Menuka Warushavithana, Caleb Carlson, Saptashwa Mitra, Daniel Rammer, Mazdak Arabi, F. Jay Breidt
Distributed Orchestration of Regression Models Over Administrative Boundaries. BDCAT 2021: 80-90 - [c4]Menuka Warushavithana, Saptashwa Mitra, Mazdak Arabi, F. Jay Breidt
Containerization of Model Fitting Workloads over Spatial Datasets. IEEE BigData 2021: 3770-3779 - [c3]Menuka Warushavithana, Saptashwa Mitra, Mazdak Arabi, F. Jay Breidt
A Transfer Learning Scheme for Time Series Forecasting Using Facebook Prophet. CLUSTER 2021: 809-810
2010 – 2019
- 2018
- [p1]F. Jay Breidt
Model-Assisted Survey Estimation with Imperfectly Matched Auxiliary Data. Predictive Econometrics and Big Data 2018: 21-35 - 2016
- [j3]Walid Budgaga, Matthew Malensek, Sangmi Lee Pallickara, Neil Harvey, F. Jay Breidt
Predictive analytics using statistical, learning, and ensemble methods to support real-time exploration of discrete event simulations. Future Gener. Comput. Syst. 56: 360-374 (2016) - 2014
- [c2]Matthew Malensek, Walid Budgaga, Sangmi Lee Pallickara, Neil Harvey, F. Jay Breidt
Using Distributed Analytics to Enable Real-Time Exploration of Discrete Event Simulations. UCC 2014: 49-58 - 2011
- [j2]F. Jay Breidt
A Measure-Theoretic Computational Method for Inverse Sensitivity Problems I: Method and Analysis. SIAM J. Numer. Anal. 49(5): 1836-1859 (2011) - [r1]Jean D. Opsomer, F. Jay Breidt:
Nonparametric Regression Using Kernel and Spline Methods. International Encyclopedia of Statistical Science 2011: 974-977
2000 – 2009
- 2000
- [j1]F. Jay Breidt, Alicia L. Carriquiry:
Highest density gates for target tracking. IEEE Trans. Aerosp. Electron. Syst. 36(1): 47-55 (2000)
1990 – 1999
- 1997
- [c1]F. Jay Breidt, Nuno Crato, Pedro J. F. de Lima:
Modeling the persistent volatility of asset returns. CIFEr 1997: 266-272
Coauthor Index
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