| Application of UNet fully convolutional neural network to impervious surface segmentation in urban environment from high resolution satellite imagery J McGlinchy, B Johnson, B Muller, M Joseph, J Diaz IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 88 | 2019 |
| Predicting property damage from tornadoes with zero-inflated neural networks J Diaz, MB Joseph Weather and Climate Extremes 25, 100216, 2019 | 34 | 2019 |
| Stream temperature prediction in a shifting environment: Explaining the influence of deep learning architecture SN Topp, J Barclay, J Diaz, AY Sun, X Jia, D Lu, JM Sadler, AP Appling Water Resources Research 59 (4), e2022WR033880, 2023 | 17 | 2023 |
| 'What I Need to Know is What I Don't Know!': Filtering Disaster Twitter Data for Information from Local Individuals. LAS Denis, AL Hughes, J Diaz, K Solvik, MB Joseph, JK Balch ISCRAM, 730-743, 2020 | 14 | 2020 |
| Classifying Twitter Users for Disaster Response: A Highly Multimodal or Simple Approach? J Diaz, LAS Denis, MB Joseph, K Solvik, JK Balch ISCRAM, 774-789, 2020 | 9 | 2020 |
| Fully convolutional neural network for impervious surface segmentation in mixed urban environment J McGlinchy, B Muller, B Johnson, M Joseph, J Diaz Photogrammetric Engineering & Remote Sensing 87 (2), 117-123, 2021 | 7 | 2021 |
| Evaluating deep learning architecture and data assimilation for improving water temperature forecasts at unmonitored locations JA Zwart, J Diaz, S Hamshaw, S Oliver, JC Ross, M Sleckman, AP Appling, ... Frontiers in Water 5, 1184992, 2023 | 3 | 2023 |
| Improving the thermal infrared monitoring of volcanoes: A deep learning approach for intermittent image series J Diaz, G Cervone, C Wauthier arXiv preprint arXiv:2109.12767, 2021 | 1 | 2021 |
| Opportunities and challenges for near-term water forecasting JA Zwart, A Appling, A Archer, H Corson-Dosch, J Diaz, P Goodling, ... WaterSciCon24, 2024 | | 2024 |
| Forecasting Hydrological Drought Onset, Duration, and Intensity in the Colorado River Basin and Across the Conterminous United States Using Machine Learning Models JC Hammond, A Archer, G Cook, JA Diaz, P Goodling, SD Hamshaw, ... 104th AMS Annual Meeting, 2024 | | 2024 |
| From Workflows to Streamflows: How We Build Shared Understanding to Predict Streamflow Droughts Using Deep Learning E White, SD Hamshaw, JC Hammond, WD Watkins, J Diaz, JA Zwart, ... AGU Fall Meeting Abstracts 2023 (1977), H41P-1977, 2023 | | 2023 |
| A Variational Inference Framework for Estimating Lake Attributes and Temperatures WA McAliley, J Diaz, LR Platt AGU Fall Meeting Abstracts 2023, H20-05, 2023 | | 2023 |
| Prediction of Streamflow Drought in the Colorado River Basin Region using Deep Learning SD Hamshaw, JC Hammond, RR Sando, E White, WD Watkins, ... AGU Fall Meeting Abstracts 2023, H21H-04, 2023 | | 2023 |
| Machine Learning Water Quality Predictions in the Here, Now, There, Then, and Soon A Appling, JA Zwart, E White, SN Topp, TP Thompson, AM Snyder, ... 103rd AMS Annual Meeting, 2023 | | 2023 |
| Not all publications have extents, not all extents are completely accurate Satellite remote sensing of river discharge: A framework for assessing the accuracy of discharge … DM Bjerklie, M Durand, JM LeNoir, RW Dudley, C Birkett, J Jones, ... Transportation Research Record, Journal of the Transportation Research Board …, 2023 | | 2023 |
| Volcanic Forecasting with Intermittent Infrared Images via Deep Learning J Diaz, G Cervone, C Wauthier AGU Fall Meeting Abstracts 2020, GC134-08, 2020 | | 2020 |
| Data-Driven Hydrological Drought Onset, Duration and Intensity Forecasts for the Conterminous United States (CONUS): Developing and Testing an Operational Tool to Enhance … JC Hammond, A Archer, J Diaz, P Goodling, A Heldmyer, SD Hamshaw, ... AGU24, 0 | | |
| A Deep Learning Approach for Prediction of Streamflow Drought at Ungaged Locations SD Hamshaw, J Diaz, P Goodling, RR Sando, R McShane, WD Watkins, ... AGU24, 0 | | |
| Drought model rodeo: A comparison of data-driven models varying in complexity to forecast streamflow drought in the Colorado River Basin P Goodling, J Diaz, JC Hammond, AJ Heldmyer, SD Hamshaw, ... WaterSciCon24, 0 | | |