An Experimental Investigation of Calibration Techniques for Imbalanced Data by Lanlan Huang, Junkai Zhao, Bing Zhu, Hao Chen, Seppe Vanden Broucke

Subjects: “…Probability calibration…”
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Between Two Worlds: Investigating the Intersection of Human Expertise and Machine Learning in the Case of Coronary Artery Disease Diagnosis by Ioannis D. Apostolopoulos, Nikolaos I. Papandrianos, Dimitrios J. Apostolopoulos, Elpiniki Papageorgiou

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Applying probability calibration to ensemble methods to predict 2-year mortality in patients with DLBCL by Shuanglong Fan, Zhiqiang Zhao, Hongmei Yu, Lei Wang, Chuchu Zheng, Xueqian Huang, Zhenhuan Yang, Meng Xing, Qing Lu, Yanhong Luo

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Machine learning framework to extract the biomarker potential of plasma IgG N-glycans towards disease risk stratification by Konstantinos Flevaris, Joseph Davies, Shoh Nakai, Frano Vučković, Gordan Lauc, Malcolm G. Dunlop, Cleo Kontoravdi

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Achieving well-informed decision-making in drug discovery: a comprehensive calibration study using neural network-based structure-activity models by Hannah Rosa Friesacher, Ola Engkvist, Lewis Mervin, Yves Moreau, Adam Arany

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Using inferred probabilities to measure the accuracy of imprecise forecasts by Paul Lehner, Avra Michelson, Leonard Adelman, Anna Goodman

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Using inferred probabilities to measure the accuracy of imprecise forecasts by Paul Lehner, Avra Michelson, Leonard Adelman, Anna Goodman

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