Issued Patents All Time
Showing 1–9 of 9 patents
| Patent # | Title | Co-Inventors | Date |
|---|---|---|---|
| 12361071 | Systems and methods for machine learning classification-based automated remediations and handling of data items | Steve Woodward, Shaun Becker | 2025-07-15 |
| 12287761 | Systems and methods for machine learning-based classification of digital computer files using file metadata | Steve Woodward, Alexis Johnson, Shaun Becker | 2025-04-29 |
| 12259847 | Systems and methods for intelligent digital item discovery and machine learning-informed handling of digital items and digital item governance | Steve Woodward, Shaun Becker | 2025-03-25 |
| 11531640 | Systems and methods for intelligent digital item discovery and machine learning-informed handling of digital items and digital item governance | Steve Woodward, Shaun Becker | 2022-12-20 |
| 11183175 | Systems and methods implementing data query language and utterance corpus implements for handling slot-filling and dialogue intent classification data in a machine learning task-oriented dialogue system | Kevin Leach, Michael A. Laurenzano | 2021-11-23 |
| 11043208 | Systems and methods for mixed setting training for slot filling machine learning tasks in a machine learning task-oriented dialogue system | Daniel C. Michelin, Jonathan K. Kummerfeld, Kevin Leach, Joseph Peper, Yunqi Zhang | 2021-06-22 |
| 10929761 | Systems and methods for automatically detecting and repairing slot errors in machine learning training data for a machine learning-based dialogue system | Anish Mahendran, Parker Hill, Jonathan K. Kummerfeld, Michael A. Laurenzano, Lingjia Tang +1 more | 2021-02-23 |
| 10796104 | Systems and methods for constructing an artificially diverse corpus of training data samples for training a contextually-biased model for a machine learning-based dialogue system | Andrew Lee, Christopher Andrew Clarke, Kevin Leach, Jonathan K. Kummerfeld, Parker Hill +4 more | 2020-10-06 |
| 10679150 | Systems and methods for automatically configuring training data for training machine learning models of a machine learning-based dialogue system including seeding training samples or curating a corpus of training data based on instances of training data identified as anomalous | Anish Mahendran, Andrew Lee, Jonathan K. Kummerfeld, Parker Hill, Michael A. Laurenzano +3 more | 2020-06-09 |