Lee Becker
20Patents
5h-index
21Co-inventors
65Inventor score
Filing activity: Jul 16, 2002 → Aug 19, 2019
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US9451085B2 | Social media provocateur detection and mitigation | Electricity | 11 | Active |
| US8016597B2 | System and method for interjecting bilateral brain activation into routine activity | Human Necessities | 10 | Active |
| US9444940B2 | Pseudo agent matching | Electricity | 9 | Active |
| US9432325B2 | Automatic negative question handling | Electricity | 5 | Active |
| US6918098B2 | Random code generation using genetic algorithms | Physics | 5 | Expired |
| US9454760B2 | Natural language processing (NLP) and natural language generation (NLG) based on user context for enhanced contact center communication | Physics | 4 | Active |
| US9438732B2 | Cross-lingual seeding of sentiment | Electricity | 4 | Active |
| US9378459B2 | Cross-domain topic expansion | Physics | 4 | Active |
| US9020135B2 | Dialog compatability | Electricity | 3 | Active |
| US8964962B1 | Dialog reorder | Electricity | 3 | Active |
| US11475245B2 | Systems and methods for automated evaluation model customization | Physics | 2 | Active |
| US11443140B2 | Systems and methods for automated machine learning model training for a custom authored prompt | Physics | 2 | Active |
| US9715492B2 | Unspoken sentiment | Electricity | 2 | Active |
| US9635175B2 | Aggregated multi-topic agent desktop | Electricity | 1 | Active |
| US11449762B2 | Real time development of auto scoring essay models for custom created prompts | Physics | 1 | Active |
| US9542455B2 | Anti-trending | Physics | 1 | Active |
| US11875706B2 | Systems and methods for automated machine learning model training quality control | Physics | 0 | Active |
| US11741849B2 | Systems and methods for interface-based machine learning model output customization | Physics | 0 | Active |
| US11817014B2 | Systems and methods for interface-based automated custom authored prompt evaluation | Physics | 0 | Active |
| US10599765B2 | Semantic translation model training | Physics | 0 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.