Predicting COVID-19 disease progression and patient outcomes based on temporal deep learning von Sun, Chenxi, Hong, Shenda, Song, Moxian, Li, Hongyan, Wang, Zhenjie

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Engine fault diagnosis based on sensor data fusion using evidence theory von Song, Moxian, Jiang, Wen

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Classifying vaguely labeled data based on evidential fusion von Song, Moxian, Sun, Chenxi, Cai, Derun, Hong, Shenda, Li, Hongyan

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A Ranking-Based Cross-Entropy Loss for Early Classification of Time Series von Sun, Chenxi, Li, Hongyan, Song, Moxian, Hong, Shenda

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Dlsa: Semi-supervised partial label learning via dependence-maximized label set assignment von Song, Moxian, Li, Hongyan, Sun, Chenxi, Cai, Derun, Hong, Shenda

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Time pattern reconstruction for classification of irregularly sampled time series von Sun, Chenxi, Li, Hongyan, Song, Moxian, Cai, Derun, Zhang, Baofeng, Hong, Shenda

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Evaluating Topological Vulnerability Based on Fuzzy Fractal Dimension von Wen, Tao, Song, Moxian, Jiang, Wen

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SPL-LDP: a label distribution propagation method for semi-supervised partial label learning von Song, Moxian, Sun, Chenxi, Cai, Derun, Hong, Shenda, Li, Hongyan

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Knowledge-shot learning: An interpretable deep model for classifying imbalanced electrocardiography data von Chou, Yen-hsiu, Hong, Shenda, Zhou, Yuxi, Shang, Junyuan, Song, Moxian, Li, Hongyan

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A New Interval Numbers Power Average Operator in Multiple Attribute Decision Making von Song, Moxian, Jiang, Wen, Xie, Chunhe, Zhou, Deyun

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Personalized vital signs control based on continuous action-space reinforcement learning with supervised experience von Sun, Chenxi, Hong, Shenda, Song, Moxian, Shang, Junyuan, Li, Hongyan

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Adaptive model training strategy for continuous classification of time series von Sun, Chenxi, Li, Hongyan, Song, Moxian, Cai, Derun, Zhang, Baofeng, Hong, Shenda

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An improved evidential DEMATEL identify critical success factors under uncertain environment von Shang, Xueqian, Song, Moxian, Huang, Kai, Jiang, Wen

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A Systematic Review of Echo State Networks From Design to Application von Sun, Chenxi, Song, Moxian, Cai, Derun, Zhang, Baofeng, Hong, Shenda, Li, Hongyan

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Continuous diagnosis and prognosis by controlling the update process of deep neural networks von Sun, Chenxi, Li, Hongyan, Song, Moxian, Cai, Derun, Zhang, Baofeng, Hong, Shenda

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A New Interval Numbers Power Average Operator in Multiple Attribute Decision Making: NEW INTERVAL NUMBERS POWER AVERAGE OPERATOR IN MADM von Song, Moxian, Jiang, Wen, Xie, Chunhe, Zhou, Deyun

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A multi-model architecture based on deep learning for aircraft load prediction von Sun, Chenxi, Li, Hongyan, Dui, Hongna, Hong, Shenda, Sun, Yongyue, Song, Moxian, Cai, Derun, Zhang, Baofeng, Wang, Qiang, Wang, Yongjun, Liu, Bo

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Curriculum Design Helps Spiking Neural Networks to Classify Time Series von Sun, Chenxi, Li, Hongyan, Song, Moxian, Can, Derun, Hong, Shenda

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Curricular and Cyclical Loss for Time Series Learning Strategy von Sun, Chenxi, Li, Hongyan, Song, Moxian, Cai, Derun, Hong, Shenda

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Continuous Diagnosis and Prognosis by Controlling the Update Process of Deep Neural Networks von Sun, Chenxi, Li, Hongyan, Song, Moxian, Cai, Derun, Zhang, Baofeng, Hong, Shenda

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