F. Jay Breidt

According to our database, F. Jay Breidt authored at least 15 papers between 1997 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A Framework for Profiling Spatial Variability in the Performance of Classification Models.

Menuka Warushavithana, Kassidy Barram, Caleb Carlson, Saptashwa Mitra, Sudipto Ghosh, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara

Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, 2023

Rubiks: Rapid Explorations and Summarization over High Dimensional Spatiotemporal Datasets.

Saptashwa Mitra, Matthew Young, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara

Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, 2023

2022

Attention-based convolutional capsules for evapotranspiration estimation at scale.

Samuel Armstrong, Paahuni Khandelwal, Dhruv Padalia, Gabriel B. Senay, Darin Schulte, Allan A. Andales, F. Jay Breidt, Shrideep Pallickara, Sangmi Lee Pallickara

Environ. Model. Softw., 2022

Alleviating Resource Requirements for Spatial Deep Learning Workloads.

Saptashwa Mitra, Menuka Warushavithana, Mazdak Arabi, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara

Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

Resource Efficient Profiling of Spatial Variability in Performance of Regression Models.

Caleb Carlson, Menuka Warushavithana, Saptashwa Mitra, Kassidy Barram, Sudipto Ghosh, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara

Proceedings of the IEEE International Conference on Big Data, 2022

2021

A Transfer Learning Scheme for Time Series Forecasting Using Facebook Prophet.

Menuka Warushavithana, Saptashwa Mitra, Mazdak Arabi, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara

Proceedings of the IEEE International Conference on Cluster Computing, 2021

Containerization of Model Fitting Workloads over Spatial Datasets.

Menuka Warushavithana, Saptashwa Mitra, Mazdak Arabi, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Distributed Orchestration of Regression Models Over Administrative Boundaries.

Menuka Warushavithana, Caleb Carlson, Saptashwa Mitra, Daniel Rammer, Mazdak Arabi, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara

Proceedings of the BDCAT '21: 2021 IEEE/ACM 8th International Conference on Big Data Computing, Applications and Technologies, Leicester, United Kingdom, December 6, 2021

2018

Model-Assisted Survey Estimation with Imperfectly Matched Auxiliary Data.

F. Jay Breidt, Jean D. Opsomer, Chien-Min Huang

Proceedings of the Predictive Econometrics and Big Data, 2018

2016

Predictive analytics using statistical, learning, and ensemble methods to support real-time exploration of discrete event simulations.

Walid Budgaga, Matthew Malensek, Sangmi Lee Pallickara, Neil Harvey, F. Jay Breidt, Shrideep Pallickara

Future Gener. Comput. Syst., 2016

2014

Using Distributed Analytics to Enable Real-Time Exploration of Discrete Event Simulations.

Matthew Malensek, Walid Budgaga, Sangmi Lee Pallickara, Neil Harvey, F. Jay Breidt, Shrideep Pallickara

Proceedings of the 7th IEEE/ACM International Conference on Utility and Cloud Computing, 2014

2011

Nonparametric Regression Using Kernel and Spline Methods.

Jean D. Opsomer, F. Jay Breidt

Proceedings of the International Encyclopedia of Statistical Science, 2011

A Measure-Theoretic Computational Method for Inverse Sensitivity Problems I: Method and Analysis.

F. Jay Breidt, Troy D. Butler, Donald J. Estep

SIAM J. Numer. Anal., 2011

2000

Highest density gates for target tracking.

F. Jay Breidt, Alicia L. Carriquiry

IEEE Trans. Aerosp. Electron. Syst., 2000

1997

Modeling the persistent volatility of asset returns.

F. Jay Breidt, Nuno Crato, Pedro J. F. de Lima

Proceedings of the IEEE/IAFE 1997 Computational Intelligence for Financial Engineering, 1997