Cynthia rudin google scholar citations

WebMar 8, 2024 · PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models Sachit Menon, Alexandru Damian, Shijia Hu, Nikhil Ravi, Cynthia … WebShow me in Google Scholar Beyond Rewards: a Hierarchical Perspective on Offline Multiagent Behavioral Analysis TL;DR:Treat neural networks as if they were a new species in the wild. Conduct an observational study to learn emergent behaviors of …

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WebEstablished in 1893, the Virginia Magazine of History & Biography (VMHB), the quarterly journal of the Virginia Museum of History & Culture, publishes articles and book reviews … 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 … little bear clarac 31 https://edwoodstudio.com

[PDF] Interpretable classifiers using rules and ... - Semantic Scholar

Web90. Cynthia Rudin. Professor of Computer Science, ECE, Statistics, and Biostatistics & Bioinformatics, Duke University. Verified email at cs.duke.edu - Homepage. machine … The following articles are merged in Scholar. Their combined citations are … WebYesterday, I was hit with the Ashburn bug. It occurs when Google misses a bot from one of the data centers in Ashburn, VA. The results is massive traffic to your site in less than 2 … WebApr 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 … little bear coffee and milk tea

Cynthia D. Rudin Scholars@Duke

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Cynthia rudin google scholar citations

[PDF] Interpretable classifiers using rules and ... - Semantic Scholar

WebDec 8, 2024 · Visit us in Hall J #615 Wed from 4-6 pm. Cynthia Rudin Retweeted. Interpretable ML Lab. @InterpretMLLab. ·. Oct 24, 2024. Introducing a new paradigm for interpretable ML! treeFarms lets you choose from the set of all near-optimal models instead of giving you just one. 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 …

Cynthia rudin google scholar citations

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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 ... WebApr 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.

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. WebCynthia Rudin, Daniel Wagner & Rich Sevieri Conference paper 7151 Accesses 43 Citations Part of the Lecture Notes in Computer Science book series (LNAI,volume 8190) Abstract Our goal is to automatically detect patterns of crime.

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 … WebFeb 11, 2024 · But Rudin's place is due to more than the number of papers written and citations. According to the Math Genealogy project, Rudin produced 24 successful PhD …

WebThe following articles are merged in Scholar. Their combined citations are counted only for the first article. ... Cynthia Rudin Professor of Computer Science, ECE, Statistics, ... Klaus-Robert Müller TU Berlin & Korea University & Google Brain & Max Planck Institute for Informatics, Germany Verified email at tu-berlin.de. Andrew Ross PhD ...

WebCrossRef Google Scholar Nath, S.V.: Crime pattern detection using data mining. In: Proceedings of Web Intelligence and Intelligent Agent Technology Workshops, pp. … little bear cartoon charactersWebThe 64th Virginia Mounted Infantry Regiment was organized in 1862 by the consolidation of the 21st and 29th Battalions of Virginia Infantry. Two-thirds of the regiment's force was … little bear coffee green jeansWebCynthia 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. … little bear coin slabsWebMar 20, 2024 · Download a PDF of the paper titled Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges, by Cynthia Rudin and 5 other … little bear coloring bookWebJun 11, 2024 · CITATION: "PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models," Sachit Menon, Alexandru Damian, Shijia Hu, Nikhil Ravi, Cynthia Rudin. IEEE/ CVF International Conference on Computer Vision and Pattern Recognition (CVPR), June 14-19, 2024. arXiv:2003.03808 little bear coffee companyWebSep 1, 2015 · DOI: 10.1214/15-AOAS848 Corpus ID: 17699665; Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model @article{Letham2015InterpretableCU, title={Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model}, author={Benjamin Letham … little bear christmas tree farmWebCynthia 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 little bear coming up next