Horst Cornelius Samulowitz
20Patents
3h-index
55Co-inventors
62Inventor score
Filing activity: Dec 1, 2009 → Aug 25, 2022
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US9547821B1 | Deep learning for algorithm portfolios | Physics | 19 | Active |
| US8433660B2 | Managing a portfolio of experts | Physics | 4 | Active |
| US11620582B2 | Automated machine learning pipeline generation | Physics | 3 | Active |
| US11048718B2 | Methods and systems for feature engineering | Physics | 2 | Active |
| US11599826B2 | Knowledge aided feature engineering | Physics | 2 | Active |
| US11861469B2 | Code generation for Auto-AI | Physics | 1 | Active |
| US11868230B2 | Automated unsupervised machine learning utilizing meta-learning | Physics | 1 | Active |
| US11275974B2 | Random feature transformation forests for automatic feature engineering | Physics | 0 | Active |
| US11663251B2 | Question answering approach to semantic parsing of mathematical formulas | Physics | 0 | Active |
| US10373071B2 | Automated intelligent data navigation and prediction tool | Physics | 0 | Active |
| US10295992B2 | Production system having constraint evaluator generating constrained sequences | Emerging Cross-Sectional Technologies | 0 | Active |
| US11954424B2 | Automatic domain annotation of structured data | Physics | 0 | Active |
| US12412102B2 | Interactive feature engineering in automatic machine learning with domain knowledge | Physics | 0 | Active |
| US12124822B2 | Mining code expressions for data analysis | Electricity | 0 | Active |
| US11816127B2 | Quality assessment of extracted features from high-dimensional machine learning datasets | Physics | 0 | Active |
| US11966340B2 | Automated time series forecasting pipeline generation | Physics | 0 | Active |
| US10572819B2 | Automated intelligent data navigation and prediction tool | Physics | 0 | Active |
| US11941541B2 | Automated machine learning using nearest neighbor recommender systems | Physics | 0 | Active |
| US12242980B2 | Machine learning with multiple constraints | Physics | 0 | Active |
| US11681931B2 | Methods for automatically configuring performance evaluation schemes for machine learning algorithms | Physics | 0 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.