| Deep Reinforcement Learning for Network Slicing with Heterogeneous Resource Requirements and Time Varying Traffic Dynamics J Koo, VB Mendiratta, MR Rahman, A Walid 15th International Conference on Network and Service Management, CNSM 2019 …, 2019 | 60 | 2019 |
| Application of machine learning and artificial intelligence to extend EFIT equilibrium reconstruction LL Lao, S Kruger, C Akcay, P Balaprakash, TA Bechtel, E Howell, J Koo, ... Plasma Physics and Controlled Fusion 64 (7), 074001, 2022 | 20 | 2022 |
| Combined convolutional and recurrent neural networks for hierarchical classification of images J Koo, D Klabjan, J Utke 2020 IEEE International Conference on Big Data, Atlanta, GA, USA, 2020 | 12 | 2020 |
| Improved Classification Based on Deep Belief Networks J Koo, D Klabjan 29th International Conference on Artificial Neural Networks, Bratislava …, 2020 | 9 | 2020 |
| Hpc storage service autotuning using variational-autoencoder-guided asynchronous bayesian optimization M Dorier, R Egele, P Balaprakash, J Koo, S Madireddy, S Ramesh, ... 2022 IEEE International Conference on Cluster Computing (CLUSTER), 381-393, 2022 | 8 | 2022 |
| ytopt: Autotuning scientific applications for energy efficiency at large scales X Wu, P Balaprakash, M Kruse, J Koo, B Videau, P Hovland, V Taylor, ... arXiv preprint arXiv:2303.16245, 2023 | 7 | 2023 |
| Customized Monte Carlo Tree Search for LLVM/Polly's Composable Loop Optimization Transformations J Koo, P Balaprakash, M Kruse, X Wu, P Hovland, M Hall 12th IEEE International Workshop on Performance Modeling, Benchmarking and …, 2021 | 7 | 2021 |
| A Unified Defect Pattern Analysis of Wafer Maps Using Density-Based Clustering J Koo, S Hwang IEEE Access 9, 78873-78882, 2021 | 5 | 2021 |
| Neuromorphic architectures for edge computing under extreme environments A Yanguas-Gil, J Koo, S Madireddy, P Balaprakash, JW Elam, AU Mane 2021 IEEE Space Computing Conference (SCC), 39-45, 2021 | 3 | 2021 |
| Analysis of defective patterns on wafers in semiconductor manufacturing: A bibliographical review BJ Yum, JH Koo, SJ Kim 2012 IEEE International Conference on Automation Science and Engineering …, 2012 | 3 | 2012 |
| An inverse classification framework with limited budget and maximum number of perturbed samples J Koo, D Klabjan, J Utke Expert Systems with Applications 212, 118761, 2023 | 2* | 2023 |
| Development of Technology Evaluation Model Consider Qualitative and Quantitative Factors Using Brown-Gibson Model H Byeong-Hyeon, G Jae-Hun, C Chan-U, S Hui-Cheol, S Beom-Seok, ... Korean institute of industrial engineers Autumn symposium, 609-615, 2009 | 2 | 2009 |
| Transfer-learning-based Autotuning using Gaussian Copula T Randall*, J Koo*, B Videau, M Kruse, X Wu, P Hovland, M Hall, R Ge, ... Proceedings of the 37th International Conference on Supercomputing, 37-49, 2023 | | 2023 |
| Model order reduction of magnetic and MSE EFIT reconstructions with neural networks C Akcay, J Koo, S Madireddy, L Lao, X Sun, Y Liu, P Balaprakash APS Division of Plasma Physics Meeting Abstracts 2022, CO03. 007, 2022 | | 2022 |
| Model Order Reduction of the Plasma Equilibrium Reconstruction framework EFIT with Deep Neural Networks J Koo, S Madireddy, C Akcay, T Bechtel, S Kruger, Y Liu, X Sun, ... APS Division of Plasma Physics Meeting Abstracts 2022, GO05. 011, 2022 | | 2022 |
| Overview and Progress of the EFIT-AI Project S Kruger, L Lao, C Akcay, T Bechtel, Y Liu, J McClenaghan, D Orozco, ... APS Division of Plasma Physics Meeting Abstracts 2022, PP11. 057, 2022 | | 2022 |
| A Mathematical View of the EFIT-AI Project S Kruger, E Howell, J Leddy, L Lao, C Akcay, T Bechtel, J McClenaghan, ... APS Division of Plasma Physics Meeting Abstracts 2021, GP11. 033, 2021 | | 2021 |
| Uncertainty quantification of EFIT reconstructions using the EFIT-AI database C Akcay, J McClenaghan, T Bechtel, D Orozco, Y Liu, L Lao, S Kruger, ... APS Division of Plasma Physics Meeting Abstracts 2021, GP11. 035, 2021 | | 2021 |
| Overview of the SciDAC EFIT-AI Machine-Learning (ML) and Artificial-Intelligence (AI) Enhanced Equilibrium Reconstruction Project L Lao, C Akcay, T Bechtel, Y Liu, J McClenaghan, D Orozco, D Schissel, ... APS Division of Plasma Physics Meeting Abstracts 2021, GP11. 034, 2021 | | 2021 |
| Development of large field-of-view high-resolution hard x-ray microscope using polymer optics at Advanced Photon Source Z Qiao, X Shi, P Kenesei, A Last, L Assoufid, J Koo, S Madireddy, ... | | 2021 |
Prasanna BalaprakashDirector of AI Programs and Distinguished R&D Staff Scientist, Oak Ridge National LaboratoryVerified email at ornl.gov
