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Bradley M. Whitaker
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2020 – today
- 2023
- [j2]Trevor C. Vannoy, Nathaniel B. Sweeney, Joseph A. Shaw, Bradley M. Whitaker:
Comparison of Supervised Learning and Changepoint Detection for Insect Detection in Lidar Data. Remote. Sens. 15(24): 5634 (2023) - [c11]Kaveen Liyanage, Reese Pearsall, Clemente Izurieta, Bradley M. Whitaker:
Dictionary Learning on Graph Data with Weisfieler-Lehman Sub-Tree Kernel and Ksvd. ICASSP 2023: 1-5 - [c10]Sepideh Radhoush, Trevor C. Vannoy, Bradley M. Whitaker, M. Hashem Nehrir:
Random Forest Meta Learner for Generating Pseudo-Measurements in Active Distribution Power Networks. ISGT 2023: 1-5 - 2021
- [c9]Kaveen Liyanage, Fereshteh Ramezani, Bradley M. Whitaker:
Covid-19 Chest CT Scan Image Classification Using LCKSVD and Frozen Sparse Coding. MICAD 2021: 272-281 - [c8]Trevor C. Vannoy, Trey P. Scofield, Joseph A. Shaw, Riley D. Logan, Bradley M. Whitaker, Elizabeth M. Rehbein:
Detection of Insects in Class-Imbalanced Lidar Field Measurements. MLSP 2021: 1-6 - 2020
- [c7]Garrett Perkins, Chase McGlinn, Muhammad Rizwan, Bradley M. Whitaker:
Detecting Cardiac Abnormalities From 12-lead ECG Signals Using Feature Selection, Feature Extraction, and Machine Learning Classification. CinC 2020: 1-4
2010 – 2019
- 2019
- [c6]Erik H. Gilbertson, Khristian M. Jones, Abigail M. Stroh, Bradley M. Whitaker:
Early Detection of Sepsis Using Feature Selection, Feature Extraction, and Neural Network Classification. CinC 2019: 1-4 - 2018
- [b1]Bradley M. Whitaker:
Modifying sparse coding to model imbalanced datasets. Georgia Institute of Technology, Atlanta, GA, USA, 2018 - [c5]Bradley M. Whitaker, David V. Anderson:
Using Block Coordinate Descent to Learn Sparse Coding Dictionaries with a Matrix Norm Update. ICASSP 2018: 2761-2765 - 2017
- [j1]Brandon T. Carroll, Bradley M. Whitaker, Wayne Daley, David V. Anderson:
Outlier Learning via Augmented Frozen Dictionaries. IEEE ACM Trans. Audio Speech Lang. Process. 25(6): 1207-1215 (2017) - [c4]Bradley M. Whitaker, Muhammad Rizwan, Varol Burak Aydemir, James M. Rehg, David V. Anderson:
AF Classification from ECG Recording Using Feature Ensemble and Sparse Coding. CinC 2017 - 2016
- [c3]Bradley M. Whitaker, David V. Anderson:
Heart Sound Classification via Sparse Coding. CinC 2016 - 2015
- [c2]Bradley M. Whitaker, David V. Anderson:
Learning anomalous features via sparse coding using matrix norms. SP/SPE 2015: 196-201 - 2014
- [c1]Bradley M. Whitaker, Brandon T. Carroll, Wayne Daley, David V. Anderson:
Sparse decomposition of audio spectrograms for automated disease detection in chickens. GlobalSIP 2014: 1122-1126
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