| Coupled igmm-gans with applications to anomaly detection in human mobility data D Smolyak, K Gray, S Badirli, G Mohler ACM Transactions on Spatial Algorithms and Systems (TSAS) 6 (4), 1-14, 2020 | 30 | 2020 |
| Drawing graphs on the sphere S Perry, MS Yin, K Gray, S Kobourov Proceedings of the International Conference on Advanced Visual Interfaces, 1-9, 2020 | 14 | 2020 |
| Multi-level tree based approach for interactive graph visualization with semantic zoom F De Luca, I Hossain, K Gray, S Kobourov, K Börner arXiv preprint arXiv:1906.05996, 2019 | 12 | 2019 |
| The Cost Implications in Ontario, Alberta, and British Columbia of Early Versus Delayed External Cephalic Version in the Early External Cephalic Version 2 (EECV2) Trial RJ Ahmed, A Gafni, EK Hutton, EK Hutton, J Barrett, GD Carson, ... Journal of Obstetrics and Gynaecology Canada 38 (3), 235-245. e3, 2016 | 7 | 2016 |
| A scalable method for readable tree layouts K Gray, M Li, R Ahmed, MK Rahman, A Azad, S Kobourov, K Börner IEEE Transactions on Visualization and Computer Graphics 30 (2), 1564-1578, 2023 | 6 | 2023 |
| Low-shot, semi-supervised, uncertainty quantification enabled model for high consequence hsi data K Gray, D Ries, J Zollweg 2022 IEEE Aerospace Conference (AERO), 1-8, 2022 | 4 | 2022 |
| Visualizing evolving trees K Gray, M Li, R Ahmed, S Kobourov International Symposium on Graph Drawing and Network Visualization, 319-335, 2022 | 3 | 2022 |
| Wooly Graphs: A Mathematical Framework For Knitting K Gray, B Bell, D Sieper, S Kobourov, F Schreiber, K Klein, S Hong arXiv preprint arXiv:2407.00511, 2024 | | 2024 |
| A Graph Model and a Layout Algorithm for Knitting Patterns K Gray, B Bell, S Kobourov arXiv preprint arXiv:2406.13800, 2024 | | 2024 |
| Novel Techniques for Visualization of Graphs and Trees K Gray The University of Arizona, 2024 | | 2024 |
| The Model Assessment Wizard (MAW): A Visualization System for Ontology Constraint Violations K Gray, J Murdock, ER Carroll Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2023 | | 2023 |
| An Uncertainty Quantification Enabled Semi-Supervised Paired Neural Network for Few-Shot Classification. D Ries, K Gray Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |
| Low-shot, Semi-supervised, Uncertainty Quantified Learningwith Hyperspectral Imagery Data. K Gray, J Zollweg, D Ries Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |
| A Map-based Interactive System for Visualizing Large Networks with Semantic Zooming K GRAY, M LI, R AHMED, MDK RAHMAN, A AZAD, S KOBOUROV, ... | | 2022 |
| Triplet Loss in Siamese Networks for Low-Shot Learning. KE Gray, D Ries, JD Zollweg Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020 | | 2020 |
