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Journal of Applied Statistics Volume 42, 2015 - Issue 3
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Original Articles

Unbalanced data classification using support vector machines with active learning on scleroderma lung disease patterns

J. LeeDepartment of Statistics, University of California, Los Angeles, Los Angeles, CA, USA
,
Y. WuDepartment of Statistics, University of California, Los Angeles, Los Angeles, CA, USA
&
H. KimDepartment of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA;Department of Radiological Science, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USACorrespondence[email protected]
Pages 676-689 | Received 26 Feb 2014, Accepted 15 Oct 2014, Published online: 09 Dec 2014

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Hongzhen Tian, Reuven Zev Cohen, Chuck Zhang & Yajun Mei. (2023) Active learning-based multistage sequential decision-making model with application on common bile duct stone evaluation. Journal of Applied Statistics 50:14, pages 2951-2969.
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Ningjing Liu, Yamine Bouzembrak, Leonieke M. van den Bulk, Anand Gavai, Lukas J. van den Heuvel & Hans J.P. Marvin. (2022) Automated food safety early warning system in the dairy supply chain using machine learning. Food Control 136, pages 108872.
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Qingyong Wang, Yun Zhou, Weiming Zhang, Zhangui Tang & Xiaojing Chen. (2020) Adaptive sampling using self-paced learning for imbalanced cancer data pre-diagnosis. Expert Systems with Applications 152, pages 113334.
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Arni S.R. Srinivasa Rao & Michael P. Diamond. (2020) Deep Learning of Markov Model-Based Machines for Determination of Better Treatment Option Decisions for Infertile Women. Reproductive Sciences 27:2, pages 763-770.
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Emilio Serrano & Javier Bajo. (2019) Deep neural network architectures for social services diagnosis in smart cities. Future Generation Computer Systems 100, pages 122-131.
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Iris Reychav, Lin Zhu, Roger McHaney, Dongsong Zhang, Yacov Shacham & Yaron Arbel. (2019) Real-time survival prediction in emergency situations with unbalanced cardiac patient data. Health and Technology 9:3, pages 277-287.
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Emilio Serrano, Mari Carmen Suárez-Figueroa, Jacinto González-Pachón & Asunción Gómez-Pérez. (2018) Toward proactive social inclusion powered by machine learning. Knowledge and Information Systems 58:3, pages 651-667.
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Berkman Sahiner, Aria Pezeshk, Lubomir M. Hadjiiski, Xiaosong Wang, Karen Drukker, Kenny H. Cha, Ronald M. Summers & Maryellen L. Giger. (2018) Deep learning in medical imaging and radiation therapy. Medical Physics 46:1.
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Maogui Hu, Wei Li, Lianfa Li, Douglas Houston & Jun Wu. (2016) Refining Time-Activity Classification of Human Subjects Using the Global Positioning System. PLOS ONE 11:2, pages e0148875.
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Shounak Datta & Swagatam Das. (2015) Near-Bayesian Support Vector Machines for imbalanced data classification with equal or unequal misclassification costs. Neural Networks 70, pages 39-52.
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