| Neural knowledge extraction from cloud service incidents M Shetty, C Bansal, S Kumar, N Rao, N Nagappan, T Zimmermann 2021 IEEE/ACM 43rd International Conference on Software Engineering …, 2021 | 5 | 2021 |
| SoftNER: Mining knowledge graphs from cloud incidents M Shetty, C Bansal, S Kumar, N Rao, N Nagappan Empirical Software Engineering 27 (4), 1-34, 2022 | 3 | 2022 |
| AutoTSG: Learning and Synthesis for Incident Troubleshooting M Shetty, C Bansal, SP Upadhyayula, A Radhakrishna, A Gupta arXiv preprint arXiv:2205.13457, 2022 | | 2022 |
| Automatic recognition of entities related to cloud incidents MS Molahalli, C Bansal, S Kumar, RAO Nikitha, N Nagappan, ... US Patent App. 16/925,453, 2022 | | 2022 |
| A Machine Learning Understanding of Sepsis M Shetty, SM Alex, M Moni, F Edathadathil, P Prasanna, V Menon, ... 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | | 2021 |
| DeepAnalyze: Learning to Localize Crashes at Scale M Shetty, C Bansal, S Nath, S Bowles, H Wang, O Arman, S Ahari arXiv preprint arXiv:2109.14326, 2021 | | 2021 |
| Exploration and Comparison of Modern AI Algorithms to Predict Drug Efficacy M Shetty, R Neil, A Kasi, V Murali, P Athri, G Srinivasa IEEE International Conference on Electronics, Computing and Communication …, 2020 | | 2020 |
Chetan BansalMicrosoft ResearchVerified email at microsoft.com
