Sparse decomposition of audio spectrograms for automated disease detection in chickens. - Bradley M. Whitaker; Brandon T. Carroll; Wayne Daley; David V. Anderson (GlobalSIP, 2014)

Learning anomalous features via sparse coding using matrix norms. - Bradley M. Whitaker; David V. Anderson (SP/SPE, 2015)

Heart Sound Classification via Sparse Coding. - Bradley M. Whitaker; David V. Anderson (CinC, 2016)

AF Classification from ECG Recording Using Feature Ensemble and Sparse Coding. - Bradley M. Whitaker; Muhammad Rizwan 001; Varol Burak Aydemir; James M. Rehg; David V. Anderson (CinC, 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)

Using Block Coordinate Descent to Learn Sparse Coding Dictionaries with a Matrix Norm Update. - Bradley M. Whitaker; David V. Anderson (ICASSP, 2018)

Modifying sparse coding to model imbalanced datasets. - Bradley M. Whitaker (2018)

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 (CinC, 2019)

Detecting Cardiac Abnormalities From 12-lead ECG Signals Using Feature Selection, Feature Extraction, and Machine Learning Classification. - Garrett Perkins; Chase McGlinn; Muhammad Rizwan 001; Bradley M. Whitaker (CinC, 2020)

Covid-19 Chest CT Scan Image Classification Using LCKSVD and Frozen Sparse Coding. - Kaveen Liyanage; Fereshteh Ramezani; Bradley M. Whitaker (MICAD, 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 (MLSP, 2021)

Dictionary Learning on Graph Data with Weisfieler-Lehman Sub-Tree Kernel and Ksvd. - Kaveen Liyanage; Reese Pearsall; Clemente Izurieta; Bradley M. Whitaker (ICASSP, 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 (ISGT, 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., 2023)

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)

Using Large Language Models to Mitigate Human-Induced Bias in SMS Spam: An Empirical Approach. - Gerard Shu Fuhnwi; Matthew Revelle; Bradley M. Whitaker; Clemente Izurieta (ICAIC, 2025)