Bradley M. Whitaker

18 papers Misc 2Journal 3Unranked 12
YearRankTypeTitle / Venue / Authors
2025 — conf
Attention and Edge-Aware Band Selection for Efficient Hyperspectral Classification of Burned Vegetation.
MLSP
Mahmad Isaq Karankot, Bradley M. Whitaker, Xiaobing Zhou, Muhammad Umer Masood
2025 — conf
Using Large Language Models to Mitigate Human-Induced Bias in SMS Spam: An Empirical Approach.
ICAIC
Gerard Shu Fuhnwi, Matthew Revelle, Bradley M. Whitaker, Clemente Izurieta
2024 J jnl
A Generalized approach to the operationalization of Software Quality Models.
PeerJ Comput. Sci.
Clemente Izurieta, Derek Reimanis, Eric O'Donoghue, Kaveen Liyanage, Assoumer Redempta Manzi Muneza, Bradley M. Whitaker, Ann Marie Reinhold
2023 J jnl
Comparison of Supervised Learning and Changepoint Detection for Insect Detection in Lidar Data.
Remote. Sens.
Trevor C. Vannoy, Nathaniel B. Sweeney, Joseph A. Shaw, Bradley M. Whitaker
2023 Misc conf
Dictionary Learning on Graph Data with Weisfieler-Lehman Sub-Tree Kernel and Ksvd.
ICASSP
Kaveen Liyanage, Reese Pearsall, Clemente Izurieta, Bradley M. Whitaker
2023 — conf
Incorporating Temporal and Meteorological Data for Generating Pseudo-measurements in Active Distribution Power Networks.
CAI
Sepideh Radhoush, Kaveen Liyanage, Trevor C. Vannoy, Bradley M. Whitaker, M. Hashem Nehrir
2023 — conf
Random Forest Meta Learner for Generating Pseudo-Measurements in Active Distribution Power Networks.
ISGT
Sepideh Radhoush, Trevor C. Vannoy, Bradley M. Whitaker, M. Hashem Nehrir
2021 — conf
Covid-19 Chest CT Scan Image Classification Using LCKSVD and Frozen Sparse Coding.
MICAD
Kaveen Liyanage, Fereshteh Ramezani, Bradley M. Whitaker
2021 — conf
Detection of Insects in Class-Imbalanced Lidar Field Measurements.
MLSP
Trevor C. Vannoy, Trey P. Scofield, Joseph A. Shaw, Riley D. Logan, Bradley M. Whitaker, Elizabeth M. Rehbein
2020 — conf
Detecting Cardiac Abnormalities From 12-lead ECG Signals Using Feature Selection, Feature Extraction, and Machine Learning Classification.
CinC
Garrett Perkins, Chase McGlinn, Muhammad Rizwan, Bradley M. Whitaker
2019 — conf
Early Detection of Sepsis Using Feature Selection, Feature Extraction, and Neural Network Classification.
CinC
Erik H. Gilbertson, Khristian M. Jones, Abigail M. Stroh, Bradley M. Whitaker
2018 — —
Modifying sparse coding to model imbalanced datasets.
Bradley M. Whitaker
2018 Misc conf
Using Block Coordinate Descent to Learn Sparse Coding Dictionaries with a Matrix Norm Update.
ICASSP
Bradley M. Whitaker, David V. Anderson
2017 — conf
AF Classification from ECG Recording Using Feature Ensemble and Sparse Coding.
CinC
Bradley M. Whitaker, Muhammad Rizwan, Varol Burak Aydemir, James M. Rehg, David V. Anderson
2017 J jnl
Outlier Learning via Augmented Frozen Dictionaries.
IEEE ACM Trans. Audio Speech Lang. Process.
Brandon T. Carroll, Bradley M. Whitaker, Wayne Daley, David V. Anderson
2016 — conf
Heart Sound Classification via Sparse Coding.
CinC
Bradley M. Whitaker, David V. Anderson
2015 — conf
Learning anomalous features via sparse coding using matrix norms.
SP/SPE
Bradley M. Whitaker, David V. Anderson
2014 — conf
Sparse decomposition of audio spectrograms for automated disease detection in chickens.
GlobalSIP
Bradley M. Whitaker, Brandon T. Carroll, Wayne Daley, David V. Anderson