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基于强化学习的减少烘丝过程中烟丝“干头”量的方法 期刊论文
自动化学报, 2023, 卷号: 49, 期号: 8, 页码: 1679-1687
Authors:  毕素环;  蒋一翔;  于树松;  丁香乾;  牟亮亮;  王彬
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烟丝含水率  过干烟丝  强化学习  超调  
Second-Order Global Attention Networks for Graph Classification and Regression 会议论文
, Beijing, China, August 27-28, 2022
Authors:  Hu Fenyu;  Cui Zeyu;  Wu Shu;  Liu Qiang;  Wu Jinlin;  Wang Liang;  Tan Tieniu
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HIV感染者认知功能障碍的多模态脑影像研究 学位论文
, 2023
Authors:  李想
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HIV认知功能障碍  磁共振影像  多模态融合  个体化预测  独立成分分析  结构相似性网络  
Toward Data-Driven Digital Therapeutics Analytics: Literature Review and Research Directions 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 42-66
Authors:  Uichin Lee;  Gyuwon Jung;  Eun-Yeol Ma;  Jin San Kim;  Heepyung Kim;  Jumabek Alikhanov;  Youngtae Noh;  Heeyoung Kim
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Causal inference  data-driven analytics framework  digital therapeutics (DTx)  mobile and wearable data  technical and behavioral engagement  
基于多源数据的媒体转载效果分析方法研究 学位论文
, 北京: 中国科学院自动化研究所, 2021
Authors:  刘贺静
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多源数据  媒体转载效果  转载行为预测  热点挖掘  反馈分析  
Analyzing Topics of JUUL Discussions on Social Media Using a Semantics-assisted NMF model 会议论文
, Shenzhen, China, 2019-7-1
Authors:  Hejing Liu;  Qiudan Li;  Riheng Yao;  Daniel Dajun Zeng
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Predicting Lung Cancers Using Epidemiological Data: A Generative-Discriminative Framework 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 5, 页码: 1067-1078
Authors:  Jinpeng Li;  Yaling Tao;  Ting Cai
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Cancer prevention  discriminative model  generative model  lung cancer  machine learning  
Electronic Nose and Its Applications: A Survey 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 179-209
Authors:  Diclehan Karakaya;  Oguzhan Ulucan;  Mehmet Turkan
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Artificial intelligence  machine learning  pattern recognition  electronic nose (EN)  sensors technology.  
Characterizing Social Media Messages Related to Underage JUUL E-Cigarette Buying and Selling: Cross-Sectional Analysis of Reddit Subreddits 期刊论文
JOURNAL OF MEDICAL INTERNET RESEARCH, 2020, 卷号: 22, 期号: 7, 页码: 13
Authors:  Liu, Hejing;  Li, Qiudan;  Zhan, Yongcheng;  Zhang, Zhu;  Zeng, Daniel D.;  Leischow, Scott J.
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JUUL  e-cigarette  Reddit  cross-sectional analysis  electronic nicotine delivery system  underage JUUL use  
基于全局性结构的网络隐藏语义表示方法及其应用研究 学位论文
, 中国科学院自动化研究所: 中国科学院自动化研究所, 2020
Authors:  温婉婷
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网络表示学习  全局性结构  量子纠缠  隐藏语义