Bradley M. Whitaker

Orcid: 0000-0001-8884-9743

According to our database1, Bradley M. Whitaker authored at least 13 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2023
Comparison of Supervised Learning and Changepoint Detection for Insect Detection in Lidar Data.
Remote. Sens., December, 2023

Random Forest Meta Learner for Generating Pseudo-Measurements in Active Distribution Power Networks.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023

Dictionary Learning on Graph Data with Weisfieler-Lehman Sub-Tree Kernel and Ksvd.
Proceedings of the IEEE International Conference on Acoustics, 2023

2021
Detection of Insects in Class-Imbalanced Lidar Field Measurements.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Covid-19 Chest CT Scan Image Classification Using LCKSVD and Frozen Sparse Coding.
Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2021

2020
Detecting Cardiac Abnormalities From 12-lead ECG Signals Using Feature Selection, Feature Extraction, and Machine Learning Classification.
Proceedings of the Computing in Cardiology, 2020

2019
Early Detection of Sepsis Using Feature Selection, Feature Extraction, and Neural Network Classification.
Proceedings of the 46th Computing in Cardiology, 2019

2018
Using Block Coordinate Descent to Learn Sparse Coding Dictionaries with a Matrix Norm Update.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Outlier Learning via Augmented Frozen Dictionaries.
IEEE ACM Trans. Audio Speech Lang. Process., 2017

AF Classification from ECG Recording Using Feature Ensemble and Sparse Coding.
Proceedings of the Computing in Cardiology, 2017

2016
Heart Sound Classification via Sparse Coding.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2015
Learning anomalous features via sparse coding using matrix norms.
Proceedings of the IEEE Signal Processing and Signal Processing Education Workshop, 2015

2014
Sparse decomposition of audio spectrograms for automated disease detection in chickens.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014


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