Dr. cynthia rudin
WebCynthia Rudin is an associate professor of computer science, electrical and computer engineering, and statistical science at Duke University, with secondary appointments in … WebCynthia Rudin. Professor of Computer Science, ECE, Statistics, and Biostatistics & Bioinformatics, Duke University. ... T Wang, C Rudin, F Doshi-Velez, Y Liu, E Klampfl, P …
Dr. cynthia rudin
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WebMar 10, 2024 · Seyda Ertekin, Cynthia Rudin, Haym Hirsh. Shorter versions of this have appeared at the NIPS Workshop on Computational Social Science and the Wisdom of Crowds ( paper, bib, Haym's Slides ), and Collective Intelligence ( paper and bib ) The Latent State Hazard Model, with Application to Wind Turbine Reliability. WebApr 8, 2024 · Presenter: Dr. Cynthia Rudin Title: ... Bio: Cynthia Rudin is a professor of computer science, electrical and computer engineering, and statistical science at Duke University, and directs the Prediction Analysis Lab, whose main focus is in interpretable machine learning. She is also an associate director of the Statistical and Applied ...
WebHi folks, I recently read and was fascinated by the idea of a paper by Dr. Cynthia Rudin on using naturally interpretable ML models instead of trying to explain a black box model (like CNN or RNN) with another model (such as the saliency map).. I'd like to learn more about interpretable ML algorithms in detail, but I haven't got much clue about where to start. WebCynthia Rudin is an associate professor of computer science, electrical and computer engineering, and statistical science at Duke University, with secondary appointments in the statistics and mathematics departments. She directs the Prediction Analysis Lab. Her interests are in machine learning, data mining, applied statistics, and knowledge ...
WebDr. Jennifer Couch, National Cancer Institute Dr. Cynthia Rudin, Duke University. Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead Panel Discussion: Interpretable AI vs Explainable AI. Moderated by Dr. David Basanta Gutierrez, H. Lee Moffitt Cancer Center & Research … WebHimabindu Lakkaraju, Cynthia Rudin. NIPS Workshop on Interpretable Machine Learning in Complex Systems, 2016. pdf. Learning Cost-Effective and Interpretable Treatment Regimes for Judicial Bail Decisions. …
WebDec 16, 2024 · --Dr. Cynthia Rudin, Professor of Computer Science, Electrical and Computer Engineering, Statistical Science, and …
WebDr. Cynthia Rudin is a professor of computer science and engineering at Duke University. She directs the Interpretable Machine Learning Lab, and her goal is to design predictive models that people can understand. Her lab applies machine learning in many areas, such as healthcare, criminal justice, and energy reliability. ... medtronic t00040WebDr. Cynthia Rudin Title: Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead Abstract: With widespread use of … medtronic synthetic meshname a word that rhymes with tangleWebCynthia Rudin is a professor of computer science, electrical and computer engineering, statistical science, and biostatistics & bioinformatics at Duke University, and directs the … medtronic syringe pumpsWebApr 8, 2024 · Bio: Cynthia Rudin is a professor of computer science, electrical and computer engineering, and statistical science at Duke University, and directs the … name a workman\\u0027s toolWebJan 13, 2024 · Professor Cynthia Rudin at NCSU’s Red Talk: Data Science 2024. Dr. Cynthia Rudin gave a fascinating overview of black-box machine learning models often used by private industry. name a winner of i\u0027m a celebrityWebNov 26, 2024 · Cynthia Rudin. Black box machine learning models are currently being used for high stakes decision-making throughout society, causing problems throughout … name a well known ciliate