| Arctic vegetation mapping using unsupervised training datasets and convolutional neural networks ZL Langford, J Kumar, FM Hoffman, AL Breen, CM Iversen Remote Sensing 11 (1), 69, 2019 | 63 | 2019 |
| Wildfire mapping in Interior Alaska using deep neural networks on imbalanced datasets Z Langford, J Kumar, F Hoffman 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 770-778, 2018 | 46 | 2018 |
| Mapping Arctic plant functional type distributions in the Barrow Environmental Observatory using WorldView-2 and LiDAR datasets Z Langford, J Kumar, FM Hoffman, RJ Norby, SD Wullschleger, VL Sloan, ... Remote Sensing 8 (9), 733, 2016 | 45 | 2016 |
| Robust signal classification using siamese networks Z Langford, L Eisenbeiser, M Vondal Proceedings of the ACM workshop on wireless security and machine learning, 1-5, 2019 | 24 | 2019 |
| Convolutional neural network approach for mapping arctic vegetation using multi-sensor remote sensing fusion ZL Langford, J Kumar, FM Hoffman 2017 IEEE International Conference on Data Mining Workshops (ICDMW), 322-331, 2017 | 22 | 2017 |
| Spatiotemporal dynamics of wetted soils across a polar desert landscape ZL Langford, MN Gooseff, DJ Lampkin Antarctic Science 27 (2), 197-209, 2015 | 14 | 2015 |
| Wildfires identification: Semantic segmentation using support vector machine classifier M Pecha, Z Langford, D Horák, R Tran Mills Programs and Algorithms of Numerical Mathematics, 173-186, 2023 | 4 | 2023 |
| Oak Ridge National Laboratory (DOE) Z Langford United States, 0 | 3 | |
| Remote sensing-based characterization, 2-m, Plant Functional Type Distributions, Barrow Environmental Observatory, 2010 Z Langford, J Kumar, F Hoffman Next Generation Ecosystems Experiment-Arctic, Oak Ridge National Laboratory …, 2016 | 1 | 2016 |
| Distributed and GPU-Enabled Machine-Learning Approaches for Wildfire Identification from Remote Sensing Data RT Mills, M Pecha, ZL Langford, J Kumar, D Horák AGU23, 2023 | | 2023 |
| Scalable Wildfire Classification Using Distributed Memory Parallel, GPU-enabled Support Vector Machines RT Mills, ZL Langford, M Pecha, J Kumar, FM Hoffman, D Horák AGU Fall Meeting Abstracts 2022, NH43A-08, 2022 | | 2022 |
| Leveraging gradient weighted class activation mapping to improve classification effectiveness: Case study in transportation infrastructure characterization TP Karnowski, D Aykac, RK Ferrell, C Gambrell, Z Langford, L Torkelson Electronic Imaging 34, 1-6, 2022 | | 2022 |
| Acknowledgment to Reviewers of Journal of Imaging in 2021 A Ouahabi, A Barnes, A Pouliakis, A Pakula, A Bhowmik, A Förschler, ... | | 2022 |
| Wildfire Classification using PETSc-based Support Vector Machines on Distributed-Memory GPU-based Parallel Computers R Mills, Z Langford, J Kumar, F Hoffman AGU Fall Meeting Abstracts 2021, IN11C-04, 2021 | | 2021 |
| Computationally Tractable High-Fidelity Representation of Global Hydrology in ESMs via Machine Learning Approaches to Scale-Bridging RT Mills, FM Hoffman, J Kumar, R Jacob, Z Langford, S Sreepathi, ... Artificial Intelligence for Earth System Predictability (AI4ESP …, 2021 | | 2021 |
| Exploiting Artificial Intelligence for Advancing Earth and Environmental System Science FM Hoffman, J Kumar, ZL Langford, VS Konduri, N Collier AGU Fall Meeting 2019, 2019 | | 2019 |
| Deep Transfer Learning With Field-Based Measurements for Large Area Classification ZL Langford, J Kumar, FM Hoffman 2019 International Conference on Data Mining Workshops (ICDMW), 262-269, 2019 | | 2019 |
| Remote Sensing-Based, 5-m, Vegetation Distributions, Kougarok Study Site, Seward Peninsula, Alaska, ca. 2009-2016 Z Langford, J Kumar, F Hoffman, C Iversen, A Breen Next Generation Ecosystems Experiment-Arctic, Oak Ridge National Laboratory …, 2019 | | 2019 |
| Deep Learning Approach for Mapping Arctic Vegetation using Multi-Sensor Remote Sensing Fusion ZL Langford, J Kumar, FM Hoffman Workshop on Innovating the Geosciences, 2018 | | 2018 |
| Deep Learning Approach for Mapping Arctic Vegetation using Multi-Sensor Remote Sensing Fusion J Kumar, Z Langford, F Hoffman ICEI 2018: 10th International Conference on Ecological Informatics …, 2018 | | 2018 |