Aysu Ezen Can
24Patents
2h-index
18Co-inventors
46Inventor score
Filing activity: Sep 9, 2016 → Apr 24, 2024
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US10360301B2 | Personalized approach to handling hypotheticals in text | Physics | 4 | Active |
| US11093533B2 | Validating belief states of an AI system by sentiment analysis and controversy detection | Physics | 3 | Active |
| US10366161B2 | Anaphora resolution for medical text with machine learning and relevance feedback | Physics | 2 | Active |
| US10095775B1 | Gap identification in corpora | Physics | 1 | Active |
| US10275456B2 | Determining context using weighted parsing scoring | Physics | 1 | Active |
| US11823798B2 | Container-based knowledge graphs for determining entity relations in non-narrative text | Physics | 1 | Active |
| US11113418B2 | De-identification of electronic medical records for continuous data development | Physics | 1 | Active |
| US10380251B2 | Mining new negation triggers dynamically based on structured and unstructured knowledge | Physics | 0 | Active |
| US11392764B2 | Classifying text to determine a goal type used to select machine learning algorithm outcomes | Physics | 0 | Active |
| US11042576B2 | Identifying and prioritizing candidate answer gaps within a corpus | Physics | 0 | Active |
| US10902198B2 | Generating rules for automated text annotation | Physics | 0 | Active |
| US10216719B2 | Relation extraction using QandA | Physics | 0 | Active |
| US12266197B2 | Detection of manual entry error | Physics | 0 | Active |
| US10902046B2 | Breaking down a high-level business problem statement in a natural language and generating a solution from a catalog of assets | Physics | 0 | Active |
| US10740365B2 | Gap identification in corpora | Physics | 0 | Active |
| US10467343B2 | Detecting problematic language in inclusion and exclusion criteria | Physics | 0 | Active |
| US10937551B2 | Medical concept sorting based on machine learning of attribute value differentiation | Physics | 0 | Active |
| US11397851B2 | Classifying text to determine a goal type used to select machine learning algorithm outcomes | Physics | 0 | Active |
| US12010260B2 | Detecting synthetic sounds in call audio | Electricity | 0 | Active |
| US10902044B2 | Cognitive document quality determination with automated heuristic generation | Physics | 0 | Active |
| US10540440B2 | Relation extraction using Q and A | Physics | 0 | Active |
| US12413667B2 | Detecting synthetic sounds in call audio | Electricity | 0 | Active |
| US11636376B2 | Active learning for concept disambiguation | Physics | 0 | Active |
| US10740555B2 | Deep learning approach to grammatical correction for incomplete parses | Physics | 0 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.