Issued Patents All Time
Showing 25 most recent of 29 patents
| Patent # | Title | Co-Inventors | Date |
|---|---|---|---|
| 12254065 | Regression detection and correction in relationships between performance indicators and ai metrics | Lukasz G. Cmielowski, Wojciech Sobala, Maksymilian Erazmus | 2025-03-18 |
| 12216738 | Predicting performance of machine learning models | Lukasz G. Cmielowski, Wojciech Sobala, Maksymilian Erazmus | 2025-02-04 |
| 12106191 | Continuous learning process using concept drift monitoring | Wojciech Sobala, Lukasz G. Cmielowski, Maksymilian Erazmus | 2024-10-01 |
| 11922279 | Standard error of prediction of performance in artificial intelligence model | Wojciech Sobala, Lukasz G. Cmielowski, Maksymilian Erazmus | 2024-03-05 |
| 11915150 | Refinement of a predicted event based on explainability data | Larisa Shwartz, Frank Bagehorn, Jinho Hwang, Marcos Vinicius L. Paraiso, Vidhya Shankar Venkatesan +2 more | 2024-02-27 |
| 11816542 | Finding root cause for low key performance indicators | Lukasz G. Cmielowski, Wojciech Sobala, Maksymilian Erazmus | 2023-11-14 |
| 11790256 | Analyzing test result failures using artificial intelligence models | Lukasz G. Cmielowski, Maksymilian Erazmus, Wojciech Sobala | 2023-10-17 |
| 11748638 | Machine learning model monitoring | Lukasz G. Cmielowski, Wojciech Sobala, Maksymilian Erazmus | 2023-09-05 |
| 11704220 | Machine learning based data monitoring | Lukasz G. Cmielowski, Wojciech Sobala, Maksymilian Erazmus | 2023-07-18 |
| 11699071 | Evaluating surrogate machine learning models | Lukasz G. Cmielowski, Wojciech Sobala, Maksymilian Erazmus | 2023-07-11 |
| 11699082 | Multi-dimensional record correlations | Lukasz G. Cmielowski, Wojciech Sobala, Maksymilian Erazmus | 2023-07-11 |
| 11681928 | Refinement of a predicted event based on explainability data | Larisa Shwartz, Frank Bagehorn, Jinho Hwang, Marcos Vinicius L. Paraiso, Vidhya Shankar Venkatesan +2 more | 2023-06-20 |
| 11676063 | Exposing payload data from non-integrated machine learning systems | Lukasz G. Cmielowski, Bartlomiej T. Malecki, Maria Hanna Oleszkiewicz | 2023-06-13 |
| 11593388 | Indexing based on feature importance | Lukasz G. Cmielowski, Wojciech Sobala, Maksymilian Erazmus | 2023-02-28 |
| 11556860 | Continuous learning system for models without pipelines | Lukasz G. Cmielowski, Blazej Rafal Rutkowski, Wojciech Sobala | 2023-01-17 |
| 11551152 | Input feature significance identification based on batches of prediction | Lukasz G. Cmielowski, Maksymilian Erazmus, Wojciech Sobala | 2023-01-10 |
| 11507670 | Method for testing an artificial intelligence model using a substitute model | Lukasz G. Cmielowski, Wojciech Sobala, Maksymilian Erazmus | 2022-11-22 |
| 11501239 | Metric specific machine learning model improvement through metric specific outlier removal | Lukasz G. Cmielowski, Wojciech Sobala, Maksymilian Erazmus | 2022-11-15 |
| 11488036 | Multi-class classification evaluation metric determination | Lukasz G. Cmielowski, Bartlomiej T. Malecki, Wojciech Sobala | 2022-11-01 |
| 11475324 | Dynamic recommendation system for correlated metrics and key performance indicators | Lukasz G. Cmielowski, Maksymilian Erazmus, Wojciech Sobala | 2022-10-18 |
| 11475326 | Analyzing test result failures using artificial intelligence models | Lukasz G. Cmielowski, Maksymilian Erazmus, Wojciech Sobala | 2022-10-18 |
| 11461648 | Standardizing disparate data points | Lukasz G. Cmielowski, Maksymilian Erazmus, Wojciech Sobala | 2022-10-04 |
| 11429858 | Deep learning experiment content generation based on single design | Lukasz G. Cmielowski, Wojciech Sobala, Pawel Slowikowski | 2022-08-30 |
| 11301351 | Machine learning based data monitoring | Lukasz G. Cmielowski, Wojciech Sobala, Maksymilian Erazmus | 2022-04-12 |
| 11237942 | Model comparison with unknown metric importance | Lukasz G. Cmielowski, Wojciech Sobala, Maksymilian Erazmus | 2022-02-01 |