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APIScanner - Towards Automated Detection of Deprecated APIs in Python Libraries
Vadlamani, Aparna, Kalicheti, Rishitha, Chimalakonda, Sridhar
Published in 2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) (01.05.2021)
Published in 2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) (01.05.2021)
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Conference Proceeding
Empirical Bayes PCA in high dimensions
Zhong, Xinyi, Su, Chang, Fan, Zhou
Published in Journal of the Royal Statistical Society. Series B, Statistical methodology (01.07.2022)
Published in Journal of the Royal Statistical Society. Series B, Statistical methodology (01.07.2022)
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Journal Article
Convex Optimization, Shape Constraints, Compound Decisions, and Empirical Bayes Rules
Koenker, Roger, Mizera, Ivan
Published in Journal of the American Statistical Association (01.06.2014)
Published in Journal of the American Statistical Association (01.06.2014)
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Journal Article
Identifiability of nonparametric mixture models and Bayes optimal clustering
Published in The Annals of statistics
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Journal Article
Quantum advantage in variational Bayes inference
Miyahara, Hideyuki, Roychowdhury, Vwani
Published in Proceedings of the National Academy of Sciences - PNAS (01.08.2023)
Published in Proceedings of the National Academy of Sciences - PNAS (01.08.2023)
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Journal Article
How Do Python Framework APIs Evolve? An Exploratory Study
Zhang, Zhaoxu, Zhu, Hengcheng, Wen, Ming, Tao, Yida, Liu, Yepang, Xiong, Yingfei
Published in 2020 IEEE 27th International Conference on Software Analysis, Evolution and Reengineering (SANER) (01.02.2020)
Published in 2020 IEEE 27th International Conference on Software Analysis, Evolution and Reengineering (SANER) (01.02.2020)
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Conference Proceeding
Bayes Variable Selection in Semiparametric Linear Models
Kundu, Suprateek, Dunson, David B.
Published in Journal of the American Statistical Association (01.03.2014)
Published in Journal of the American Statistical Association (01.03.2014)
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Journal Article
Recognition of gasoline in fire debris using machine learning: Part I, application of random forest, gradient boosting, support vector machine, and naïve bayes
Bogdal, C., Schellenberg, R., Höpli, O., Bovens, M., Lory, M.
Published in Forensic science international (01.02.2022)
Published in Forensic science international (01.02.2022)
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Journal Article
DAMpred: Recognizing Disease-Associated nsSNPs through Bayes-Guided Neural-Network Model Built on Low-Resolution Structure Prediction of Proteins and Protein–Protein Interactions
Quan, Lijun, Wu, Hongjie, Lyu, Qiang, Zhang, Yang
Published in Journal of molecular biology (14.06.2019)
Published in Journal of molecular biology (14.06.2019)
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Journal Article