Cynthia Rudin

http://dbpedia.org/resource/Cynthia_Rudin an entity of type: Thing

Cynthia Diane Rudin (born 1976) is an American computer scientist and statistician specializing in machine learning and known for her work in interpretable machine learning. She is the director of the Interpretable Machine Learning Lab at Duke University, where she is a professor of computer science, electrical and computer engineering, statistical science, and biostatistics and bioinformatics. In 2022, she won the Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity from the Association for the Advancement of Artificial Intelligence (AAAI) for her work on the importance of transparency for AI systems in high-risk domains. rdf:langString
Cynthia Diane Rudin (née en 1976) est une informaticienne et statisticienne américaine spécialisée dans l'apprentissage automatique et connue pour ses travaux sur l' (en). Elle est directrice du Prediction Analysis Lab à l'Université Duke, où elle est professeure d'informatique, de génie électrique et informatique et de sciences statistiques. rdf:langString
rdf:langString Cynthia Rudin
rdf:langString Cynthia Rudin
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rdf:langString November 2022
rdf:langString Cynthia Diane Rudin (born 1976) is an American computer scientist and statistician specializing in machine learning and known for her work in interpretable machine learning. She is the director of the Interpretable Machine Learning Lab at Duke University, where she is a professor of computer science, electrical and computer engineering, statistical science, and biostatistics and bioinformatics. In 2022, she won the Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity from the Association for the Advancement of Artificial Intelligence (AAAI) for her work on the importance of transparency for AI systems in high-risk domains.
rdf:langString Cynthia Diane Rudin (née en 1976) est une informaticienne et statisticienne américaine spécialisée dans l'apprentissage automatique et connue pour ses travaux sur l' (en). Elle est directrice du Prediction Analysis Lab à l'Université Duke, où elle est professeure d'informatique, de génie électrique et informatique et de sciences statistiques.
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