WebGoogle Scholar Citations Sign in to continue to Google Scholar Citations Email or phone Forgot email? Not your computer? Use a private browsing window to sign in. Learn more … WebC. Chen and C. Rudin. An optimization approach to learning falling rule lists. In International Conference on Artificial Intelligence and Statistics (AISTATS), 2024. Google Scholar H. A. Chipman, E. I. George, and R. E. McCulloch. Bayesian CART model search. Journal of the American Statistical Association, 93(443):935-948, 1998.
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WebCynthia Rudin is a professor of computer science, electrical and computer engineering, statistical science, and biostatistics & bioinformatics at Duke University, and directs the Interpretable Machine Learning Lab. … WebNov 16, 2024 · Overall, the list includes 38 of Duke University's most prominent and influential researchers. Peak achievement in the sciences isn’t measured by stopwatches or goals scored, it goes by citations – the number of times other scientists have referenced your findings in their own academic papers.
WebSep 19, 2024 · Good news! Google scholar provides citations for articles from the search result list (currently MLA, APA, Chicago, Harvard or Vancouver). To grab a citation click on the Cite link below a search result and select from the available citation styles. As with any resource that provides citations, always double check to make sure formatting is ... WebAug 4, 2024 · Google Scholar; F. Wang and C. Rudin. 2015natexlaba. Causal Falling Rule Lists. Preprint at arXiv:1510.05189 (Oct. 2015). Google Scholar; F. Wang and C. …
WebFeb 10, 2024 · Dr. Been Kim, Former PhD student, currently employed at Google Dr. Ben Letham, Former PhD student, currently employed at FaceBook Data Science Team Dr. Ramin Moghaddass, Former PhD student, currently Assistant Professor, Industrial Engineering, University of Miami, Florida WebCynthia Rudin's 224 research works with 9,867 citations and 20,323 reads, including: Matched Machine Learning: A Generalized Framework for Treatment Effect Inference With Learned Metrics
WebJan 1, 2024 · Corpus ID: 213875993 AI reflections in 2024 Alexander S. Rich, C. Rudin, +20 authors J. Stilgoe Published 1 January 2024 Computer Science Nature Machine Intelligence There is no shortage of opinions on the impact of …
WebCrossRef Google Scholar Nath, S.V.: Crime pattern detection using data mining. In: Proceedings of Web Intelligence and Intelligent Agent Technology Workshops, pp. … diabetic diet education mailableWebApr 6, 2024 · Cynthia Rudin is the Earl D. McLean, Jr. Professor of Computer Science and Engineering at Duke University. She directs the Interpretable Machine Learning Lab, and her goal is to design predictive … diabetic diet delivery serviceCynthia 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 … cindy monahan pompano beach flWeb21 Citations. Part of the Lecture Notes in Computer Science book series (LNAI,volume 3559) Abstract ... MathSciNet Google Scholar Rudin, C., Schapire, R.E., Daubechies, I.: Analysis of boosting algorithms using the smooth margin function: A study of three algorithms. ... Cynthia Rudin. Google Research, 1440 Broadway, New York, NY, 10018. cindy mom boondocksWebFeb 11, 2024 · The book by W. Rudin "Principles of Mathematical Analysis" has 10304 citations. Please use Google Scholar yourself. – Nobody Feb 11, 2024 at 9:50 6 I haven't really worked in analysis where Rudin made his contributions but writing a very popular text book and making big research contributions are separate things. diabetic diet education pamphletWeb@inproceedings{Letham2013AnIS, title={An Interpretable Stroke Prediction Model using Rules and Bayesian Analysis}, author={Benjamin Letham and Cynthia Rudin and Tyler H. McCormick and David Madigan}, booktitle={AAAI Conference on Artificial Intelligence}, year={2013} } Benjamin Letham, C. Rudin, +1 author D. Madigan; Published in diabetic diet easy food recipesWebApr 6, 2024 · Cynthia Rudin is the Earl D. McLean, Jr. 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. cindy monger