ThetaRay Ltd.
16Patents
16Active
16Granted
49Portfolio score
Filing activity: Mar 15, 2013 → Jul 18, 2021
Most-cited patents
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US9843596B1 | Anomaly detection in dynamically evolving data and systems | Electricity | 109 | Active |
| US10692004B1 | System and method for anomaly detection in dynamically evolving data using random neural network decomposition | Physics | 25 | Active |
| US10419470B1 | System and method for anomaly detection in dynamically evolving data using hybrid decomposition | Electricity | 17 | Active |
| US9942254B1 | Measure based anomaly detection | Electricity | 13 | Active |
| US10148680B1 | System and method for anomaly detection in dynamically evolving data using hybrid decomposition | Electricity | 12 | Active |
| US10333953B1 | Anomaly detection in dynamically evolving data and systems | Electricity | 8 | Active |
| US10509695B1 | System and method for anomaly detection in dynamically evolving data using low rank matrix decomposition | Physics | 7 | Active |
| US10187409B1 | Anomaly detection in dynamically evolving data and systems | Electricity | 6 | Active |
| US10296832B1 | System and method for detecting an undesirable event | Physics | 6 | Active |
| US11049004B1 | System and method for anomaly detection in dynamically evolving data using random neural network decomposition | Physics | 5 | Active |
| US10719768B1 | System and method for detecting an undesirable event | Physics | 1 | Active |
| US9147162B2 | Method for classification of newly arrived multidimensional data points in dynamic big data sets | Physics | 1 | Active |
| US10812515B1 | System and method for anomaly detection in dynamically evolving data using hybrid decomposition | Electricity | 1 | Active |
| US11935385B1 | Anomaly detection using dictionary based projection | Physics | 0 | Active |
| US10432654B1 | Measure-based anomaly detection | Electricity | 0 | Active |
| US10798118B1 | System and method for anomaly detection in dynamically evolving data using hybrid decomposition | Electricity | 0 | Active |
Source: USPTO / EPO open patent data. Counts and citation impact are objective bibliographic measures.