Zachary L. Langford

According to our database, Zachary L. Langford authored at least 7 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Leveraging gradient weighted class activation mapping to improve classification effectiveness: Case study in transportation infrastructure characterization.

Thomas P. Karnowski, Deniz Aykac, Regina K. Ferrell, Christy Gambrell, Zachary L. Langford, Lauren Torkelson

Proceedings of the Intelligent Robotics and Industrial Applications using Computer Vision 2022, 2022

2019

Arctic Vegetation Mapping Using Unsupervised Training Datasets and Convolutional Neural Networks.

Zachary L. Langford, Jitendra Kumar, Forrest M. Hoffman, Amy L. Breen, Colleen M. Iversen

Remote. Sens., 2019

Robust Signal Classification Using Siamese Networks.

Zachary L. Langford, Logan Eisenbeiser, Matthew Vondal

Proceedings of the ACM Workshop on Wireless Security and Machine Learning, 2019

Deep Transfer Learning With Field-Based Measurements for Large Area Classification.

Zachary L. Langford, Jitendra Kumar, Forrest M. Hoffman

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

2018

Wildfire Mapping in Interior Alaska Using Deep Neural Networks on Imbalanced Datasets.

Zachary L. Langford, Jitendra Kumar, Forrest M. Hoffman

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017

Convolutional Neural Network Approach for Mapping Arctic Vegetation Using Multi-Sensor Remote Sensing Fusion.

Zachary L. Langford, Jitendra Kumar, Forrest M. Hoffman

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2016

Mapping Arctic Plant Functional Type Distributions in the Barrow Environmental Observatory Using WorldView-2 and LiDAR Datasets.

Zachary L. Langford, Jitendra Kumar, Forrest M. Hoffman, Richard J. Norby, Stan D. Wullschleger, Victoria L. Sloan, Colleen M. Iversen

Remote. Sens., 2016