Jacob Leverich
37Patents
10h-index
35Co-inventors
71Inventor score
Filing activity: Aug 8, 2008 → Apr 14, 2023
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US9760240B2 | Graphical user interface for static and adaptive thresholds | Electricity | 50 | Active |
| US10200262B1 | Continuous anomaly detection service | Electricity | 26 | Active |
| US10503348B2 | Graphical user interface for static and adaptive thresholds | Electricity | 20 | Active |
| US10375098B2 | Anomaly detection based on relationships between multiple time series | Physics | 18 | Active |
| US10776719B2 | Adaptive key performance indicator thresholds updated using training data | Physics | 18 | Active |
| US10235638B2 | Adaptive key performance indicator thresholds | Physics | 16 | Active |
| US10817757B2 | Automated data preprocessing for machine learning | Physics | 15 | Active |
| US10146609B1 | Configuration of continuous anomaly detection service | Physics | 15 | Active |
| US10855712B2 | Detection of anomalies in a time series using values of a different time series | Physics | 12 | Active |
| US8788747B2 | Independently controlled virtual memory devices in memory modules | Emerging Cross-Sectional Technologies | 10 | Active |
| US10592093B2 | Anomaly detection | Physics | 9 | Active |
| US10607150B2 | Machine-learning data analysis tool | Electricity | 8 | Active |
| US11340774B1 | Anomaly detection based on a predicted value | Physics | 4 | Active |
| US10558516B2 | Anomaly detection for signals populated based on historical data points | Physics | 2 | Active |
| US10572811B2 | Methods and systems for determining probabilities of occurrence for events and determining anomalous events | Physics | 2 | Active |
| US8812886B2 | Dynamic utilization of power-down modes in multi-core memory modules | Emerging Cross-Sectional Technologies | 2 | Active |
| US11632383B2 | Predictive model selection for anomaly detection | Physics | 2 | Active |
| US11226977B1 | Application of event subtypes defined by user-specified examples | Physics | 2 | Active |
| US10922625B2 | Distributed data processing for machine learning | Electricity | 2 | Active |
| US10909140B2 | Clustering events based on extraction rules | Physics | 1 | Active |
| US10685279B2 | Automatically generating field extraction recommendations | Physics | 1 | Active |
| US11537951B2 | Efficiently executing commands at external computing services | Electricity | 0 | Active |
| US11657065B2 | Clustering events while excluding extracted values | Physics | 0 | Active |
| US10726030B2 | Defining event subtypes using examples | Physics | 0 | Active |
| US11681900B2 | Providing field extraction recommendations for display | Physics | 0 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.