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Improving visual question answering using dropout and enhanced question encoder 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 90, 期号: 1, 页码: 404-414
Authors:  Fang, Zhiwei;  Liu, Jing;  Li, Yong;  Qiao, Yanyuan;  Lu, Hanqing
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Visual question answering  Coherent dropout  Siamese dropout  Enhanced question encoder  
面向用户行为序列的深度上下文建模 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2019
Authors:  崔强
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上下文信息  深度学习  用户行为序列  循环神经网络  注意力机制  
面向社交媒体的用户建模方法研究 学位论文
工学博士, 中国科学院自动化研究所: 中国科学院大学, 2019
Authors:  蔡驰宇
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社交媒体  用户建模  用户检测  跨平台  深度学习  
基于深度学习的语音合成方法研究 学位论文
工学博士, 中国科学院自动化研究所: 中国科学院大学, 2019
Authors:  郑艺斌
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语音合成  深度学习  韵律建模  端到端声学建模  多风格建模  
A Hierarchical Contextual Attention-based Network for Sequential Recommendation 期刊论文
Neurocomputing, 2019, 期号: no, 页码: no
Authors:  Qiang Cui;  Shu Wu;  Yan Huang;  Liang Wang
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Sequential Recommendation  Short-term Interest  Context  Attention Mechanism  Recurrent Neural Network  
Parallel Vehicular Networks: A CPSS-Based Approach via Multimodal Big Data in IoV 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2019, 卷号: 6, 期号: 1, 页码: 1079-1089
Authors:  Han, Shuangshuang;  Wang, Xiao;  Zhang, Jun Jason;  Cao, Dongpu;  Wang, Fei-Yue
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Cyber-social-physical system (CPSS)  Internet of Vehicles (IoV)  parallel system  social networks  
基于深度学习的视觉问答 学位论文
, 中国科园学院大大学: 中科院自动化研究所, 2019
Authors:  方治炜
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视觉问答  深度学习  多模态融合  答案蒸馏  模型泛化能力  问题编码  
Exploring Writing Pattern with Pop Culture Ingredients for Social User Modeling 会议论文
, Budapest, Hungary, July 14-19
Authors:  Chiyu Cai;  Linjing Li;  Daniel Zeng;  Hongyuan Ma
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Type-2 Fuzzy Comprehension Evaluation for Tourist Attractive Competency 期刊论文
IEEE Transactions on Computational Social Systems, 2019, 卷号: 6, 期号: 1, 页码: 96-102
Authors:  H. Mo;  K. Yan;  X. Zhao;  Y. Zeng;  Wang X(王晓);  Fei-Yue Wang
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Fuzzy Sets, Interval Type-2 Fuzzy Sets (IT2 Fss), T2 Fss, Tourist Attractive Competency, Type-2 Fuzzy Comprehension Evaluation.  
Distant supervision for relation extraction with hierarchical selective attention 期刊论文
NEURAL NETWORKS, 2018, 卷号: 108, 页码: 240-247
Authors:  Zhou, Peng;  Xu, Jiaming;  Qi, Zhenyu;  Bao, Hongyun;  Chen, Zhineng;  Xu, Bo
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Relation extraction  Distant supervision  Hierarchical attention  Piecewise convolutional neural networks