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Bradley M. Whitaker
Bradley M. Whitaker
Assistant Professor, Montana State University
Verified email at montana.edu
Title
Cited by
Cited by
Year
Combining sparse coding and time-domain features for heart sound classification
BM Whitaker, PB Suresha, C Liu, GD Clifford, DV Anderson
Physiological measurement 38 (8), 1701, 2017
682017
AF detection from ECG recordings using feature selection, sparse coding, and ensemble learning
M Rizwan, BM Whitaker, DV Anderson
Physiological Measurement 39 (12), 124007, 2018
242018
Sparse decomposition of audio spectrograms for automated disease detection in chickens
BM Whitaker, BT Carroll, W Daley, DV Anderson
2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2014
182014
Heart sound classification via sparse coding
BM Whitaker, DV Anderson
2016 Computing in Cardiology Conference (CinC), 805-808, 2016
172016
Outlier learning via augmented frozen dictionaries
BT Carroll, BM Whitaker, W Dayley, DV Anderson
IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (6), 1207 …, 2017
112017
AF classification from ECG recording using feature ensemble and sparse coding
BM Whitaker, M Rizwan, VB Aydemir, JM Rehg, DV Anderson
2017 Computing in Cardiology (CinC), 1-4, 2017
102017
Frequency dependence of slab coupled optical sensor sensitivity
S Chadderdon, BM Whitaker, E Whiting, D Perry, RH Selfridge, ...
Applied Optics 52 (27), 6771-6775, 2013
82013
Slab coupled optical fiber sensor calibration
B Whitaker, J Noren, S Chadderdon, W Wang, R Forber, R Selfridge, ...
Review of Scientific Instruments 84 (2), 023108, 2013
52013
Learning anomalous features via sparse coding using matrix norms
BM Whitaker, DV Anderson
2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE …, 2015
42015
Detection of insects in class-imbalanced lidar field measurements
TC Vannoy, TP Scofield, JA Shaw, RD Logan, BM Whitaker, EM Rehbein
2021 IEEE 31st International Workshop on Machine Learning for Signal …, 2021
22021
Applying Gaussian Mixture Models to Detect Fish from Airborne LiDAR Measurements
TP Scofield, J Belfort, JH Churnside, MR Roddewig, JA Shaw, ...
2021 IEEE Research and Applications of Photonics in Defense Conference …, 2021
22021
Early Detection of Sepsis Using Feature Selection, Feature Extraction, and Neural Network Classification
EH Gilbertson, KM Jones, AM Stroh, BM Whitaker
2019 Computing in Cardiology (CinC), Page 1-Page 4, 2019
22019
Touchless respiratory monitor preliminary data and results
B Hill, R Stapley, MSB Nesar, BM Whitaker
2021 IEEE Aerospace Conference (50100), 1-7, 2021
12021
Machine learning pipeline for shift-invariant detection of volcanoes on venus
T Scofield, BM Whitaker
2020 Intermountain Engineering, Technology and Computing (IETC), 1-6, 2020
12020
Satellite Image Classification Using LC-KSVD Sparse Coding
K Liyanage, BM Whitaker
2020 Intermountain Engineering, Technology and Computing (IETC), 1-6, 2020
12020
Using Block Coordinate Descent to Learn Sparse Coding Dictionaries with a Matrix Norm Update
BM Whitaker, DV Anderson
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
12018
Automated insect recognition in unlabeled lidar field measurements
HB Madsen, TC Vannoy, EM Rehbein, RD Logan, JA Shaw, BM Whitaker
Laser Radar Technology and Applications XXVII 12110, 53-57, 2022
2022
Toward a hardware implementation of lidar-based real-time insect detection
TC Vannoy, EM Rehbein, RD Logan, JA Shaw, BM Whitaker
Real-Time Image Processing and Deep Learning 2022 12102, 131-138, 2022
2022
Using Neural Networks to Model the Spread of COVID-19
I Boyd, D Hedges, BT Carter, BM Whitaker
2022 Intermountain Engineering, Technology and Computing (IETC), 1-6, 2022
2022
Identifying Patterns in Fault Recovery Techniques and Hardware Status of Radiation Tolerant Computers Using Principal Components Analysis
F Ramezani, C Major, C Barney, J Williams, BJ LaMeres, BM Whitaker
2022 Intermountain Engineering, Technology and Computing (IETC), 1-6, 2022
2022
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