Issued Patents All Time
Showing 25 most recent of 27 patents
| Patent # | Title | Co-Inventors | Date |
|---|---|---|---|
| 12254065 | Regression detection and correction in relationships between performance indicators and ai metrics | Lukasz G. Cmielowski, Maksymilian Erazmus, Rafal Bigaj | 2025-03-18 |
| 12216738 | Predicting performance of machine learning models | Lukasz G. Cmielowski, Rafal Bigaj, Maksymilian Erazmus | 2025-02-04 |
| 12106191 | Continuous learning process using concept drift monitoring | Rafal Bigaj, Lukasz G. Cmielowski, Maksymilian Erazmus | 2024-10-01 |
| 11922279 | Standard error of prediction of performance in artificial intelligence model | Rafal Bigaj, Lukasz G. Cmielowski, Maksymilian Erazmus | 2024-03-05 |
| 11853392 | Providing reduced training data for training a machine learning model | Lukasz G. Cmielowski, Amadeusz Masny, Daniel Jakub Ryszka | 2023-12-26 |
| 11816542 | Finding root cause for low key performance indicators | Lukasz G. Cmielowski, Rafal Bigaj, Maksymilian Erazmus | 2023-11-14 |
| 11790256 | Analyzing test result failures using artificial intelligence models | Lukasz G. Cmielowski, Maksymilian Erazmus, Rafal Bigaj | 2023-10-17 |
| 11748638 | Machine learning model monitoring | Rafal Bigaj, Lukasz G. Cmielowski, Maksymilian Erazmus | 2023-09-05 |
| 11704220 | Machine learning based data monitoring | Rafal Bigaj, Lukasz G. Cmielowski, Maksymilian Erazmus | 2023-07-18 |
| 11699082 | Multi-dimensional record correlations | Lukasz G. Cmielowski, Maksymilian Erazmus, Rafal Bigaj | 2023-07-11 |
| 11699071 | Evaluating surrogate machine learning models | Lukasz G. Cmielowski, Rafal Bigaj, Maksymilian Erazmus | 2023-07-11 |
| 11593388 | Indexing based on feature importance | Rafal Bigaj, Lukasz G. Cmielowski, Maksymilian Erazmus | 2023-02-28 |
| 11556860 | Continuous learning system for models without pipelines | Lukasz G. Cmielowski, Rafal Bigaj, Blazej Rafal Rutkowski | 2023-01-17 |
| 11551152 | Input feature significance identification based on batches of prediction | Lukasz G. Cmielowski, Maksymilian Erazmus, Rafal Bigaj | 2023-01-10 |
| 11507670 | Method for testing an artificial intelligence model using a substitute model | Lukasz G. Cmielowski, Rafal Bigaj, Maksymilian Erazmus | 2022-11-22 |
| 11501239 | Metric specific machine learning model improvement through metric specific outlier removal | Lukasz G. Cmielowski, Maksymilian Erazmus, Rafal Bigaj | 2022-11-15 |
| 11488036 | Multi-class classification evaluation metric determination | Rafal Bigaj, Lukasz G. Cmielowski, Bartlomiej T. Malecki | 2022-11-01 |
| 11475324 | Dynamic recommendation system for correlated metrics and key performance indicators | Lukasz G. Cmielowski, Maksymilian Erazmus, Rafal Bigaj | 2022-10-18 |
| 11475326 | Analyzing test result failures using artificial intelligence models | Lukasz G. Cmielowski, Maksymilian Erazmus, Rafal Bigaj | 2022-10-18 |
| 11461648 | Standardizing disparate data points | Lukasz G. Cmielowski, Maksymilian Erazmus, Rafal Bigaj | 2022-10-04 |
| 11429858 | Deep learning experiment content generation based on single design | Lukasz G. Cmielowski, Rafal Bigaj, Pawel Slowikowski | 2022-08-30 |
| 11410271 | Reconstructing missing slices in slice-based scans of 3D objects | Maria Hanna Oleszkiewicz, Blazej Rafal Rutkowski, Piotr Padkowski | 2022-08-09 |
| 11301351 | Machine learning based data monitoring | Rafal Bigaj, Lukasz G. Cmielowski, Maksymilian Erazmus | 2022-04-12 |
| 11237942 | Model comparison with unknown metric importance | Lukasz G. Cmielowski, Rafal Bigaj, Maksymilian Erazmus | 2022-02-01 |
| 11024004 | Reconstructing missing slices in slice-based scans of 3D objects | Maria Hanna Oleszkiewicz, Blazej Rafal Rutkowski, Piotr Padkowski | 2021-06-01 |