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Jeffrey Dale
Jeffrey Dale
University of Missouri - Columbia
Verified email at umsystem.edu
Title
Cited by
Cited by
Year
Deep convolutional neural network target classification for underwater synthetic aperture sonar imagery
A Galusha, J Dale, JM Keller, A Zare
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIV …, 2019
432019
StreamSoNG: A Soft Streaming Classification Approach
W Wu, JM Keller, J Dale, JC Bezdek
IEEE Transactions on Emerging Topics in Computational Intelligence, 2021
92021
Maneuverability hazard detection and localization in low-altitude UAS imagery
JA Hurt, D Huangal, J Dale, TM Bajkowski, JM Keller, GJ Scott, SR Price
Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2020
72020
Analysis of grapevine gene expression data using node-based resilience clustering
J Dale, J Matta, S Howard, G Ercal, W Qiu, T Obafemi-Ajayi
2018 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2018
72018
Performance Evaluation and Enhancement of Biclustering Algorithms.
J Dale, A Nishimoto, T Obafemi-Ajayi
ICPRAM, 202-213, 2018
72018
Evaluating deep road segmentation techniques for low-altitude UAS imagery
D Huangal, J Dale, JA Hurt, TM Bajkowski, JM Keller, GJ Scott, SR Price
Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2020
62020
Detection of unknown maneuverability hazards in low-altitude uas color imagery using linear features
JJ Dale, D Huangal, JA Hurt, TM Bajkowski, JM Keller, GJ Scott, SR Price
2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-9, 2020
42020
Multi-objective Optimization Approach to find Biclusters in Gene Expression Data
J Dale, J Zhao, T Obafemi-Ajayi
2019 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2019
42019
Evaluation of image features for discriminating targets from false positives in synthetic aperture sonar imagery
J Dale, A Galusha, J Keller, A Zare
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIV …, 2019
42019
Differential morphological profile neural network for maneuverability hazard detection in unmanned aerial system imagery
JA Hurt, GJ Scott, D Huangal, J Dale, TM Bajkowski, JM Keller, SR Price
Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2021
32021
Accumulating confidence for deep neural network object detections and semantic segmentations in sequential UAS imagery through spatiotemporal feature correspondences generated …
T Bajkowski, JA Hurt, D Huangal, J Dale, J Keller, G Scott, S Price
Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2021
22021
Towards an explainable AI adjunct to deep network obstacle detection for multisensor vehicle maneuverability assessment
J Dale, T Bajkowski, JA Hurt, D Huangal, N Earle, J Keller, G Scott, ...
Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2021
2021
Estimation of dynamic detector confidence thresholds in SAS imagery using mixture models
J Dale
University of Missouri--Columbia, 2019
2019
An Ensemble of Face Recognition Algorithms for Unsupervised Expansion of Training Data
J Dale, A Clark
2018 International Conference on Computational Science and Computational …, 2018
2018
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