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Connectome-based predictive modeling of attention: Comparing different functional connectivity features and prediction methods across datasets

机译：基于Connectome的注意力建模：在数据集中比较不同的功能连接特征和预测方法

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Kwangsun Yoo; Monica D. Rosenberg; Wei-Ting Hsu; Sheng Zhang; Chiang-Shan R. Li; Dustin Scheinost; R. Todd Constable; Marvin M. Chun;
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年度 2018
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1. Connectome-based predictive modeling of attention: Comparing different functional connectivity features and prediction methods across datasets [J] . Yoo Kwangsun, Rosenberg Monica D., Hsu Wei-Ting, NeuroImage . 2018,第期

机译：基于Connectome的注意力建模：在数据集中比较不同的功能连接特征和预测方法
2. Prediction is a Balancing Act: Importance of Sampling Methods to Balance Sensitivity and Specificity of Predictive Models based on Imbalanced Chemical Datasets [J] . Banerjee Priyanka, Dehnbostel Frederic Oliver, Preissner Robert Frontiers in Chemistry . 2018,第1期

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5. Predictive Modeling of Human Disease: Comparison of Genome-Wide Phenotype Prediction Methods, a Method for Novel Genetic Feature Coding, and Development of Biomarkers for Freidreich Ataxia [D] . Zhao, Zoe Zijun. 2019

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6. Connectome-based predictive modeling of attention: Comparingdifferent functional connectivity features and prediction methods acrossdatasets [O] . Kwangsun Yoo, Monica D Rosenberg, Wei-Ting Hsu, -1

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7. Comparing functional connectivity based predictive models across datasets [O] . Dadi, Kamalaker, Abraham, Alexandre, Rahim, Mehdi, 2016

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Connectome-based predictive modeling of attention: Comparing different functional connectivity features and prediction methods across datasets

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