| Machining parameter recommendations using in-process machining data aggregation J Karandikar, JH Chae, KS Smith, T Schmitz, C Steed US Patent App. 18/239,438, 2024 | | 2024 |
| QVis: A Visual Analytics Tool for Exploring Noise and Errors in Quantum Computing Systems CA Steed, J Chae, S Dasgupta, TS Humble 2023 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2023 | 2 | 2023 |
| CPViz: Visualizing clinical pathways represented in higher-order networks J Chae, BH Park, M Kim, E Rush, O Ozmen, M Jones, M Ward, ... Electronic Imaging 35, 1-8, 2023 | | 2023 |
| Graph-based Cascading Impact Estimation for Identifying Crucial Infrastructure Components S Lee, S Chintavali, S Tennille, J Chae, A Tabassum, V Tansakul, ... 2022 IEEE International Conference on Big Data (Big Data), 6749-6751, 2022 | | 2022 |
| Web application for machining parameter recommendation using visual analytics J Chae, KS Smith, T Schmitz, J Karandikar, CA Steed Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), 2022 | | 2022 |
| Visual Understanding of COVID-19 Knowledge Graph for Predictive Analysis SH Lim, J Chae, G Cong, D Herrmannova, RM Patton, R Kannan, ... 2021 IEEE International Conference on Big Data (Big Data), 4381-4386, 2021 | 2 | 2021 |
| TangibleData: Interactive Data Visualization with Mid-Air Haptics A Bhardwaj, J Chae, RH Noeske, JR Kim Proceedings of the 27th ACM Symposium on Virtual Reality Software and …, 2021 | 13 | 2021 |
| A modeling framework for designing and evaluating curbside traffic management policies at Dallas-Fort Worth International Airport J Ugirumurera, J Severino, K Ficenec, Y Ge, Q Wang, L Williams, J Chae, ... Transportation Research Part A: Policy and Practice 153, 130-150, 2021 | 7 | 2021 |
| Data Analysis Approach for Large Data Volumes in a Connected Community S Chinthavali, S Lee, M Starke, J Chae, V Tansakul, J Munk, H Zandi, ... 2021 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2021 | 2 | 2021 |
| Converting Clinical Pathways to BPM+ Standards: A Case Study in Stable Ischemic Heart Disease J Chae, BH Park, M Jones, M Ward, J Nebeker 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems …, 2020 | 3 | 2020 |
| CrossVis: A visual analytics system for exploring heterogeneous multivariate data with applications to materials and climate sciences CA Steed, JR Goodall, J Chae, A Trofimov Graphics and Visual Computing 3, 200013, 2020 | 14 | 2020 |
| Graphics and Visual Computing CA Steed, JR Goodall, J Chae, A Trofimov | | 2020 |
| Visualization System for Evolutionary Neural Networks for Deep Learning J Chae, CD Schuman, SR Young, JT Johnston, DC Rose, RM Patton, ... 2019 IEEE International Conference on Big Data (Big Data), 4498-4502, 2019 | 2 | 2019 |
| Visual Analytics for Deep Embeddings of Large Scale Molecular Dynamics Simulations J Chae, D Bhowmik, H Ma, A Ramanathan, C Steed 2019 IEEE International Conference on Big Data (Big Data), 1759-1764, 2019 | 6 | 2019 |
| Exascale Deep Learning to Accelerate Cancer Research RM Patton, JT Johnston, SR Young, CD Schuman, TE Potok, DC Rose, ... 2019 IEEE International Conference on Big Data (Big Data), 1488-1496, 2019 | 19 | 2019 |
| Fine-Grained Exploitation of Mixed Precision for Faster CNN Training JT Johnston, SR Young, CD Schuman, J Chae, DD March, RM Patton, ... 2019 IEEE/ACM Workshop on Machine Learning in High Performance Computing …, 2019 | 6 | 2019 |
| Co-Registered Application of Matrix Assisted Laser Desorption/Ionization Mass Spectrometry and Time-of-Flight Secondary Ion Mass Spectrometry Images for Visualizing Signaling … M Lorenz, ST King, N Borodinov, CA Steed, J Chae, AV Ievlev, ... Microscopy and Microanalysis 25 (S2), 1170-1171, 2019 | 1 | 2019 |
| Dynamic Color Mapping with a Multi-Scale Histogram: A Design Study with Physical Scientists J Chae, CA Steed, J Goodall, S Hahn Electronic Imaging 31, 1-13, 2019 | 1 | 2019 |
| Big Data Visualizations in Organizational Science L Tay, V Ng, A Malik, J Zhang, J Chae, DS Ebert, Y Ding, J Zhao, M Kern Organizational Research Methods 21 (3), 660-688, 2018 | 29 | 2018 |
| Visualization for classification in deep neural networks J Chae, S Gao, A Ramanthan, C Steed, GD Tourassi Workshop on Visual Analytics for Deep Learning, 2017 | 14 | 2017 |
David S EbertGallogly Professor of ECE, Assoc. VPRP, University of Oklahoma在 ou.edu 的电子邮件经过验证
