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Simple and Accurate Uncertainty Quantification from Bias-Variance Decomposition
Accurate uncertainty quantification is crucial for many applications whe...
02/13/2020 ∙ by Shi Hu, et al. ∙
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Anomaly Detection for imbalanced datasets with Deep Generative Models
Many important data analysis applications present with severely imbalanc...
11/02/2018 ∙ by Nazly Rocio Santos Buitrago, et al. ∙
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Towards radiologist-level cancer risk assessment in CT lung screening using deep learning
Lung cancer is the leading cause of cancer mortality in the US, responsi...
04/05/2018 ∙ by Stojan Trajanovski, et al. ∙
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Towards an automated method based on Iterated Local Search optimization for tuning the parameters of Support Vector Machines
We provide preliminary details and formulation of an optimization strate...
07/11/2017 ∙ by Sergio Consoli, et al. ∙
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Multiscale Event Detection in Social Media
Event detection has been one of the most important research topics in so...
04/25/2014 ∙ by Xiaowen Dong, et al. ∙
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