Bradley M. Whitaker
Bradley M. Whitaker
Assistant Professor, Montana State University
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Cited by
Cited by
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
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
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
Heart sound classification via sparse coding
BM Whitaker, DV Anderson
2016 Computing in Cardiology Conference (CinC), 805-808, 2016
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
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
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
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
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
Predicting Length of Stay using machine learning for total joint replacements performed at a rural community hospital
S Sridhar, B Whitaker, A Mouat-Hunter, B McCrory
Plos one 17 (11), e0277479, 2022
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
Simultaneous State Estimation and Bad Data Detection on PMU Measurements in Active Distribution Power Networks
S Radhoush, T Vannoy, BM Whitaker, H Nehrir
2022 North American Power Symposium (NAPS), 1-6, 2022
Feature analysis in satellite image classification using LC-KSVD and frozen dictionary learning
K Liyanage, BM Whitaker
2022 Intermountain Engineering, Technology and Computing (IETC), 1-6, 2022
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
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
Touchless respiratory monitor preliminary data and results
B Hill, R Stapley, MSB Nesar, BM Whitaker
2021 IEEE Aerospace Conference (50100), 1-7, 2021
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
Satellite image classification using LC-KSVD sparse coding
K Liyanage, BM Whitaker
2020 Intermountain Engineering, Technology and Computing (IETC), 1-6, 2020
Distribution System State Estimation and False Data Injection Attack Detection with a Multi-Output Deep Neural Network
S Radhoush, T Vannoy, K Liyanage, BM Whitaker, H Nehrir
Energies 16 (5), 2288, 2023
Automatic detection of multilayer hexagonal boron nitride in optical images using deep learning-based computer vision
F Ramezani, S Parvez, JP Fix, A Battaglin, S Whyte, NJ Borys, ...
Scientific Reports 13 (1), 1595, 2023
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