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厦门大学 [6]

山东大学 [6]

武汉大学 [6]

西安交通大学 [5]

大连理工大学 [5]

自动化研究所 [5]

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	CNN-Based Broad Learning for Cross-Domain Emotion Classification 期刊论文 TSINGHUA SCIENCE AND TECHNOLOGY, 2023, 卷号: 28, 期号: 2, 页码: 360-369 作者: Zeng, Rong; Liu, Hongzhan; Peng, Sancheng; Cao, Lihong; Yang, Aimin 收藏 \| 浏览/下载：27/0 \| 提交时间：2022/11/14 Measurement Deep learning Adaptation models Feature extraction Convolutional neural networks Data mining Task analysis cross-domain emotion classification CNN broad learning classifier co-training
	Structure attention co-training neural network for neovascularization segmentation in intravascular optical coherence tomography 期刊论文 MEDICAL PHYSICS, 2022, 页码: 16 作者: Wu, Xiangjun; Zhang, Yingqian; Zhang, Peng; Hui, Hui; Jing, Jing 收藏 \| 浏览/下载：34/0 \| 提交时间：2022/03/17 co-training IVOCT neovascularization segmentation structural attention mechanism
	An Iterative Co-Training Transductive Framework for Zero Shot Learning 期刊论文 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 6943-6956 作者: Liu, Bo; Hu, Lihua; Dong, Qiulei; Hu, Zhanyi 收藏 \| 浏览/下载：13/0 \| 提交时间：2021/11/02 Visualization Semantics Training Feature extraction Testing Detectors Predictive models Zero-shot learning transductive learning co-training
	Learning Adaptive Semi-Supervised Multi-Output Soft-Sensors with Co-Training of Heterogeneous Models 期刊论文 IEEE Access, 2020, 卷号: 8, 页码: 46493-46504 作者: Li, Dong; Huang DP(黄道平); Yu GP(于广平); Liu YQ(刘乙奇) 收藏 \| 浏览/下载：13/0 \| 提交时间：2020/04/11 Soft-sensors, semi-supervised co-training, multi-output recursive partial least square (RPLS) long short-term memory recurrent neural network (LSTM)
	Multi-scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets 会议论文 2019 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), 2019-01-01 作者: Wang, Mingjie; Zhou, Jun; Mao, Wendong; Gong, Minglun 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/02 Convolution Stochastic systems, Co-adaptation Convolution neural network Feature reuse Model complexity Regularization methods Stochastic features Training costs Training phase, Computer vision
	Short text topic model with word embeddings and context information 期刊论文 Advances in Intelligent Systems and Computing, 2019, 卷号: 769, 页码: 55-64 作者: Zhang, X.; Feng, R.; Liang, W. 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/02 Computer programming Computer science, Context information External knowledge Semantic information Semantic relatedness Short texts Topic Modeling Training dataset Word co-occurrence, Semantics
	Cooperative Hybrid Semi-Supervised Learning for Text Sentiment Classification 期刊论文 SYMMETRY-BASEL, 2019, 卷号: 11 作者: Li, Yang[1]; Lv, Ying[2]; Wang, Suge[3]; Liang, Jiye[4]; Li, Juanzi[5] 收藏 \| 浏览/下载：26/0 \| 提交时间：2019/04/22 text sentiment classification semi-supervised learning seed selecting training data updating alternately co-training
	基于生物医学文献的化学物质致病关系抽取期刊论文计算机研究与发展, 2018, 卷号: 55, 页码: 198-206 作者: 李智恒; 桂颖溢; 杨志豪; 林鸿飞; 王健收藏 \| 浏览/下载：9/0 \| 提交时间：2019/12/02 信息抽取文本挖掘半监督学习 Co-training算法化学物质-疾病关系
	A novel co-training approach for urban land cover mapping with unclear Landsat time series imagery 期刊论文 REMOTE SENSING OF ENVIRONMENT, 2018, 卷号: 217 作者: Hu, Ting; Huang, Xin; Li, Jiayi; Zhang, Lefei 收藏 \| 浏览/下载：8/0 \| 提交时间：2019/12/05 Land-cover mapping Unclear observations Landsat Co-training Collaborative representation classifier Matrix completion
	Online Social Spammer Detection Based on Semi-supervised Learning 会议论文 2018 INTERNATIONAL CONFERENCE ON ALGORITHMS, COMPUTING AND ARTIFICIAL INTELLIGENCE (ACAI 2018), 2018-01-01 作者: Ren, Honglin; Zhang, Zhigang; Xia, Chunhe 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/30 Social Spammer Semi-supervised Learning Co-training

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