| Optimal thresholding of classifiers to maximize F1 measure ZC Lipton, C Elkan, B Naryanaswamy Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014 | 446 | 2014 |
| A multi-horizon quantile recurrent forecaster R Wen, K Torkkola, B Narayanaswamy, D Madeka arXiv preprint arXiv:1711.11053, 2017 | 437 | 2017 |
| Thresholding classifiers to maximize F1 score ZC Lipton, C Elkan, B Narayanaswamy arXiv preprint arXiv:1402.1892, 2014 | 214 | 2014 |
| Joint multiple intent detection and slot labeling for goal-oriented dialog R Gangadharaiah, B Narayanaswamy Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 110 | 2019 |
| Data driven investigation of faults in HVAC systems with model, cluster and compare (MCC) B Narayanaswamy, B Balaji, R Gupta, Y Agarwal Proceedings of the 1st ACM conference on embedded systems for energy …, 2014 | 95 | 2014 |
| Zodiac: Organizing large deployment of sensors to create reusable applications for buildings B Balaji, C Verma, B Narayanaswamy, Y Agarwal Proceedings of the 2nd ACM international conference on embedded systems for …, 2015 | 76 | 2015 |
| A multiarmed bandit incentive mechanism for crowdsourcing demand response in smart grids S Jain, B Narayanaswamy, Y Narahari Proceedings of the AAAI conference on artificial intelligence 28 (1), 2014 | 72 | 2014 |
| Temporal-contextual recommendation in real-time Y Ma, B Narayanaswamy, H Lin, H Ding Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 65 | 2020 |
| Online optimization for the smart (micro) grid B Narayanaswamy, VK Garg, TS Jayram Proceedings of the 3rd international conference on future energy systems …, 2012 | 64 | 2012 |
| Task-oriented dialog systems utilizing combined supervised and reinforcement learning R Gangadharaiah, B Narayanaswamy, C Elkan US Patent 10,860,629, 2020 | 54 | 2020 |
| Orl: Reinforcement learning benchmarks for online stochastic optimization problems B Balaji, J Bell-Masterson, E Bilgin, A Damianou, PM Garcia, A Jain, ... arXiv preprint arXiv:1911.10641, 2019 | 41 | 2019 |
| Learning to be energy-wise: Discriminative methods for load disaggregation D Rahayu, B Narayanaswamy, S Krishnaswamy, C Labbé, DP Seetharam Proceedings of the 3rd International Conference on Future Energy Systems …, 2012 | 35 | 2012 |
| A novel method for two-speaker segmentation R Gangadharaiah, B Narayanaswamy, N Balakrishnan Eighth International Conference on Spoken Language Processing, 2004 | 33 | 2004 |
| Imitation-regularized offline learning Y Ma, YX Wang, B Narayanaswamy The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 25 | 2019 |
| Estimating the wake losses in large wind farms: A machine learning approach F Japar, S Mathew, B Narayanaswamy, CM Lim, J Hazra ISGT 2014, 1-5, 2014 | 23 | 2014 |
| Graphical model approach to iris matching under deformation and occlusion R Kerekes, B Narayanaswamy, J Thornton, M Savvides, BVKV Kumar 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-6, 2007 | 22 | 2007 |
| Buildingsherlock: Fault management framework for hvac systems in commercial buildings H Teraoka, B Balaji, R Zhang, A Nwokafor, B Narayanaswamy, Y Agarwal | 20 | 2014 |
| A multi-horizon quantile recurrent forecaster. arXiv 2017 R Wen, K Torkkola, B Narayanaswamy, D Madeka arXiv preprint arXiv:1711.11053, 0 | 20 | |
| Thresholding classifiers to maximize F1 score. arXiv 2014 ZC Lipton, C Elkan, B Narayanaswamy arXiv preprint arXiv:1402.1892, 0 | 19 | |
| Non-technical loss detection and localization V Arya, K Das, J Hazra, S Kalyanaraman, B Narayanaswamy, ... US Patent 9,536,198, 2017 | 16 | 2017 |
Charles ElkanProfessor of Computer Science, University of California, San Diegoucsd.edu의 이메일 확인됨
