Issued Patents 2023
Showing 1–23 of 23 patents
| Patent # | Title | Co-Inventors | Date |
|---|---|---|---|
| 11832170 | Detection of parallel operating Wi-Fi networks | William J. McFarland, Yoseph Malkin, Na Hyun Ha, Adam R. Hotchkiss, Sandeep Eyyuni | 2023-11-28 |
| 11830034 | Method and apparatus for providing electronic communications | Rajesh Girish Parekh, Ying Chen | 2023-11-28 |
| 11797520 | ROWID elimination rewrite | Pit Fender, Benjamin Schlegel | 2023-10-24 |
| 11790242 | Mini-machine learning | Sandeep Agrawal, Venkatanathan Varadarajan, Sam Idicula | 2023-10-17 |
| 11784964 | Machine learning-based DNS request string representation with hash replacement | Renata Khasanova, Felix Schmidt, Stuart Wray, Craig Schelp, Matteo Casserini | 2023-10-10 |
| 11782926 | Automated provisioning for database performance | Sam Idicula, Tomas Karnagel, Jian Wen, Seema Sundara, Mayur Bency | 2023-10-10 |
| 11748798 | Method and apparatus for item selection | Sushant Wason | 2023-09-05 |
| 11743746 | Intelligent monitoring systems and methods for Wi-Fi metric-based alarms for cloud-based Wi-Fi networks | William J. McFarland, Yoseph Malkin, Na Hyun Ha, Yusuke Sakamoto, Sai Pradeep Venkatraman +3 more | 2023-08-29 |
| 11727439 | Generating optimized in-channel and cross-channel promotion recommendations using free shipping qualifier | Feili Hou, Vyomkesh Tripathi, Rajesh Girish Parekh | 2023-08-15 |
| 11720751 | Global, model-agnostic machine learning explanation technique for textual data | Zahra Zohrevand, Tayler Hetherington, Karoon Rashedi Nia, Yasha Pushak, Sanjay Jinturkar | 2023-08-08 |
| 11720822 | Gradient-based auto-tuning for machine learning and deep learning models | Venkatanathan Varadarajan, Sam Idicula, Sandeep Agrawal | 2023-08-08 |
| 11704386 | Multi-stage feature extraction for effective ML-based anomaly detection on structured log data | Amin Suzani, Saeid Allahdadian, Milos Vasic, Matteo Casserini, Hamed Ahmadi +2 more | 2023-07-18 |
| 11704317 | Partial group by for eager group by placement query plans | Pit Fender, Benjamin Schlegel | 2023-07-18 |
| 11687540 | Fast, approximate conditional distribution sampling | Yasha Pushak, Tayler Hetherington, Karoon Rashedi Nia, Zahra Zohrevand, Sanjay Jinturkar | 2023-06-27 |
| 11620568 | Using hyperparameter predictors to improve accuracy of automatic machine learning model selection | Hesam Fathi Moghadam, Sandeep Agrawal, Venkatanathan Varadarajan, Anatoly Yakovlev, Sam Idicula | 2023-04-04 |
| 11620547 | Estimating number of distinct values in a data set using machine learning | Tomas Karnagel, Onur Kocberber, Farhan Tauheed | 2023-04-04 |
| 11620118 | Extraction from trees at scale | Arno Schneuwly, Nikola Milojkovic, Felix Schmidt | 2023-04-04 |
| 11615265 | Automatic feature subset selection based on meta-learning | Tomas Karnagel, Sam Idicula, Hesam Fathi Moghadam | 2023-03-28 |
| 11579951 | Disk drive failure prediction with neural networks | Onur Kocberber, Felix Schmidt, Arun Raghavan, Sam Idicula, Guang-Tong Zhou +1 more | 2023-02-14 |
| 11567937 | Automated configuration parameter tuning for database performance | Sam Idicula, Tomas Karnagel, Jian Wen, Seema Sundara, Mayur Bency | 2023-01-31 |
| 11562178 | Adaptive sampling for imbalance mitigation and dataset size reduction in machine learning | Jingxiao Cai, Sandeep Agrawal, Sam Idicula, Venkatanathan Varadarajan, Anatoly Yakovlev | 2023-01-24 |
| 11544630 | Automatic feature subset selection using feature ranking and scalable automatic search | Tomas Karnagel, Sam Idicula | 2023-01-03 |
| 11544494 | Algorithm-specific neural network architectures for automatic machine learning model selection | Sandeep Agrawal, Sam Idicula, Venkatanathan Varadarajan | 2023-01-03 |