Grégory Mermoud
216Patents
13h-index
33Co-inventors
82Inventor score
Filing activity: Jun 24, 2013 → May 30, 2024
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US9923911B2 | Anomaly detection supporting new application deployments | Electricity | 67 | Active |
| US9338065B2 | Predictive learning machine-based approach to detect traffic outside of service level agreements | Electricity | 41 | Active |
| US9838409B2 | Cold start mechanism to prevent compromise of automatic anomaly detection systems | Electricity | 38 | Active |
| US9774522B2 | Triggering reroutes using early learning machine-based prediction of failures | Emerging Cross-Sectional Technologies | 35 | Active |
| US9736056B2 | Centralized predictive routing using delay predictability measurements | Electricity | 31 | Active |
| US10187413B2 | Network-based approach for training supervised learning classifiers | Electricity | 26 | Active |
| US9544162B2 | Lightweight multicast acknowledgement technique in communication networks | Electricity | 24 | Active |
| US10931692B1 | Filtering mechanism to reduce false positives of ML-based anomaly detectors and classifiers | Electricity | 23 | Active |
| US10764310B2 | Distributed feedback loops from threat intelligence feeds to distributed machine learning systems | Electricity | 21 | Active |
| US10346277B2 | Adaptive sampling to build accurate application throughput models | Electricity | 19 | Active |
| US10574512B1 | Deep learning architecture for collaborative anomaly detection and explanation | Electricity | 18 | Active |
| US9547828B2 | Hierarchical hybrid batch-incremental learning | Electricity | 18 | Active |
| US10062036B2 | Predictive path characteristics based on non-greedy probing | Physics | 14 | Active |
| US9628362B2 | Learning machine based detection of abnormal network performance | Emerging Cross-Sectional Technologies | 13 | Active |
| US9374281B2 | Learning machine-based mechanism to improve QoS dynamically using selective tracking of packet retransmissions | Emerging Cross-Sectional Technologies | 12 | Active |
| US9794145B2 | Scheduling predictive models for machine learning systems | Electricity | 11 | Active |
| US9178772B2 | Cumulative node heartbeat relay agents in constrained computer networks | Emerging Cross-Sectional Technologies | 11 | Active |
| US10218726B2 | Dynamic device clustering using device profile information | Electricity | 10 | Active |
| US10771313B2 | Using random forests to generate rules for causation analysis of network anomalies | Electricity | 10 | Active |
| US9426040B2 | Mixed distributed/centralized routing techniques based on closed-loop feedback from a learning machine to avoid dark zones | Emerging Cross-Sectional Technologies | 9 | Active |
| US9749188B2 | Predictive networking architecture for next-generation multiservice, multicarrier WANs | Electricity | 8 | Active |
| US9432248B2 | Dynamically computing fate sharing in computer networks using learning machines | Electricity | 8 | Active |
| US9525617B2 | Distributed predictive routing using delay predictability measurements | Electricity | 8 | Active |
| US10063575B2 | Anomaly detection in a network coupling state information with machine learning outputs | Physics | 8 | Active |
| US10440577B1 | Hard/soft finite state machine (FSM) resetting approach for capturing network telemetry to improve device classification | Physics | 8 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.