| Gmail smart compose: Real-time assisted writing MX Chen, BN Lee, G Bansal, Y Cao, S Zhang, J Lu, J Tsay, Y Wang, ... Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 213 | 2019 |
| Secure and Automated Enterprise Revenue Forecasting J Barker, A Gajewar, K Golyaev, G Bansal, M Conners Innovative Applications of Artificial Intelligence, 2018 | 13 | 2018 |
| Predictive modeling across multiple horizons combining time series & external data G Bansal, AS Gajewar, D GuhaThakurta, K Golyaev, M Shrivastava, ... US Patent App. 15/178,445, 2017 | 11 | 2017 |
| Revenue Forecasting for Enterprise Products A Gajewar, G Bansal International Symposium of Forecasting, 2016 | 11 | 2016 |
| Online Discovery of Group Level Events in Time Series. XC Chen, A Mueen, VK Narayanan, N Karampatziakis, G Bansal, ... SDM, 632-640, 2014 | 5 | 2014 |
| SEASONALITY DETECTION IN TIME SERIES DATA G Bansal, VK Narayanan, AA Mueen US Patent 20,150,377,938, 2015 | 4 | 2015 |
| Using Machine Translation to Localize Task Oriented NLG Output S Roy, C Brunk, KY Kim, J Zhao, M Freitag, M Kale, G Bansal, S Mudgal, ... arXiv preprint arXiv:2107.04512, 2021 | 1 | 2021 |
| Making Lemonade Out of Lemons: Model Stacking for Forecasting K Golyaev, J Barker, G Bansal International Symposium of Forecasting, 2017 | | 2017 |
| Computationally Efficient Prediction Intervals for Machine Learning Forecasts J Barker, G Bansal International Symposium of Forecasting, 2017 | | 2017 |
| Data Science with Microsoft SQL Server 2016 | | 2016 |
| Forecasting Revenue for S&P 500 Companies Using the baselineforecast Package K Golyaev, G Bansal useR, 2016 | | 2016 |
| Forecasting Sales of Consumer Devices Using Search Query Data M Shrivastava, K Golyaev, G Bansal, M Conners, S Ronen, W Sun International Symposium of Forecasting, 2016 | | 2016 |
