| 11790242 |
Mini-machine learning |
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| 11782926 |
Automated provisioning for database performance |
Tomas Karnagel, Jian Wen, Seema Sundara, Nipun Agarwal, Mayur Bency |
2023-10-10 |
| 11720822 |
Gradient-based auto-tuning for machine learning and deep learning models |
Venkatanathan Varadarajan, Sandeep Agrawal, Nipun Agarwal |
2023-08-08 |
| 11620568 |
Using hyperparameter predictors to improve accuracy of automatic machine learning model selection |
Hesam Fathi Moghadam, Sandeep Agrawal, Venkatanathan Varadarajan, Anatoly Yakovlev, Nipun Agarwal |
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| 11615265 |
Automatic feature subset selection based on meta-learning |
Tomas Karnagel, Hesam Fathi Moghadam, Nipun Agarwal |
2023-03-28 |
| 11579951 |
Disk drive failure prediction with neural networks |
Onur Kocberber, Felix Schmidt, Arun Raghavan, Nipun Agarwal, Guang-Tong Zhou +1 more |
2023-02-14 |
| 11567937 |
Automated configuration parameter tuning for database performance |
Tomas Karnagel, Jian Wen, Seema Sundara, Nipun Agarwal, Mayur Bency |
2023-01-31 |
| 11562178 |
Adaptive sampling for imbalance mitigation and dataset size reduction in machine learning |
Jingxiao Cai, Sandeep Agrawal, Venkatanathan Varadarajan, Anatoly Yakovlev, Nipun Agarwal |
2023-01-24 |
| 11544494 |
Algorithm-specific neural network architectures for automatic machine learning model selection |
Sandeep Agrawal, Venkatanathan Varadarajan, Nipun Agarwal |
2023-01-03 |
| 11544630 |
Automatic feature subset selection using feature ranking and scalable automatic search |
Tomas Karnagel, Nipun Agarwal |
2023-01-03 |
