{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11526764","patent":{"patent_number":"US-11526764","title":"System and methods for explainability ensembles for neural network architectures in regulated applications","assignee":null,"inventors":[],"filing_date":"2019-12-06T00:00:00.000Z","publication_date":"2022-12-13T00:00:00.000Z","cpc_codes":["G06N","G06N"],"num_claims":20,"abstract":"A system for analyzing machine learning-derived misappropriation types with an array of shadow models is provided. The system comprises: a controller configured for analyzing an output of a machine learning model, the controller being further configured to: input interaction data into a machine learning model, wherein the interaction data is analyzed using the machine learning model to determine a misappropriation type output associated with the interaction data; identify data features in the interaction data associated with the misappropriation type output; construct an array of shadow models based on the data features, wherein each individual model in the array of shadow models is configured to extract logical constructs from a portion of the data features; and consolidate the logical constructs output by the array of shadow models, wherein consolidating the logical constructs determines a final explanation output for the misappropriation type output determined by the machine learning model."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"System and methods for explainability ensembles for neural network architectures in regulated applications","description":"A system for analyzing machine learning-derived misappropriation types with an array of shadow models is provided. The system comprises: a controller configured for analyzing an output of a machine le","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11526764","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11526764","citation_suggestion":"Patentable. \"System and methods for explainability ensembles for neural network architectures in regulated applications\" (US-11526764). https://patentable.app/patents/US-11526764","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11526764","json":"https://patentable.app/api/llm-context/US-11526764","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T15:48:02.396Z"}