Bradley M. Whitaker

According to our database, Bradley M. Whitaker authored at least 15 papers between 2014 and 2024.

Collaborative distances:

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

2024

A Generalized approach to the operationalization of Software Quality Models.

Clemente Izurieta, Derek Reimanis, Eric O'Donoghue, Kaveen Liyanage, Assoumer Redempta Manzi Muneza, Bradley M. Whitaker, Ann Marie Reinhold

PeerJ Comput. Sci., 2024

2023

Comparison of Supervised Learning and Changepoint Detection for Insect Detection in Lidar Data.

Trevor C. Vannoy, Nathaniel B. Sweeney, Joseph A. Shaw, Bradley M. Whitaker

Remote. Sens., December, 2023

Random Forest Meta Learner for Generating Pseudo-Measurements in Active Distribution Power Networks.

Sepideh Radhoush, Trevor C. Vannoy, Bradley M. Whitaker, M. Hashem Nehrir

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023

Dictionary Learning on Graph Data with Weisfieler-Lehman Sub-Tree Kernel and Ksvd.

Kaveen Liyanage, Reese Pearsall, Clemente Izurieta, Bradley M. Whitaker

Proceedings of the IEEE International Conference on Acoustics, 2023

2021

Detection of Insects in Class-Imbalanced Lidar Field Measurements.

Trevor C. Vannoy, Trey P. Scofield, Joseph A. Shaw, Riley D. Logan, Bradley M. Whitaker, Elizabeth M. Rehbein

Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Covid-19 Chest CT Scan Image Classification Using LCKSVD and Frozen Sparse Coding.

Kaveen Liyanage, Fereshteh Ramezani, Bradley M. Whitaker

Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2021

2020

Detecting Cardiac Abnormalities From 12-lead ECG Signals Using Feature Selection, Feature Extraction, and Machine Learning Classification.

Garrett Perkins, Chase McGlinn, Muhammad Rizwan, Bradley M. Whitaker

Proceedings of the Computing in Cardiology, 2020

2019

Early Detection of Sepsis Using Feature Selection, Feature Extraction, and Neural Network Classification.

Erik H. Gilbertson, Khristian M. Jones, Abigail M. Stroh, Bradley M. Whitaker

Proceedings of the 46th Computing in Cardiology, 2019

2018

Modifying sparse coding to model imbalanced datasets.

Bradley M. Whitaker

PhD thesis, 2018

Using Block Coordinate Descent to Learn Sparse Coding Dictionaries with a Matrix Norm Update.

Bradley M. Whitaker, David V. Anderson

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Outlier Learning via Augmented Frozen Dictionaries.

Brandon T. Carroll, Bradley M. Whitaker, Wayne Daley, David V. Anderson

IEEE ACM Trans. Audio Speech Lang. Process., 2017

AF Classification from ECG Recording Using Feature Ensemble and Sparse Coding.

Bradley M. Whitaker, Muhammad Rizwan, Varol Burak Aydemir, James M. Rehg, David V. Anderson

Proceedings of the Computing in Cardiology, 2017

2016

Heart Sound Classification via Sparse Coding.

Bradley M. Whitaker, David V. Anderson

Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2015

Learning anomalous features via sparse coding using matrix norms.

Bradley M. Whitaker, David V. Anderson

Proceedings of the IEEE Signal Processing and Signal Processing Education Workshop, 2015

2014

Sparse decomposition of audio spectrograms for automated disease detection in chickens.

Bradley M. Whitaker, Brandon T. Carroll, Wayne Daley, David V. Anderson

Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014