ADAPTIVE SEMI-SUPERVISED LEARNING FOR CROSS-DOMAIN SENTIMENT CLASSIFICATION

• 1. 一种基于半监督学习的跨领域情感分类方法及系统 [P] . 中国专利： CN113360659A . 2021-09-07
• 2. 基于主题特征的半监督学习情感分类方法 [P] . 中国专利： CN105912525A . 2016-08-31
• 3. METHODS AND SYSTEMS FOR AUTOMATED DOCUMENT CLASSIFICATION WITH PARTIALLY LABELED DATA USING SEMI-SUPERVISED LEARNING [P] . US2022036134A1 . 2022-02-03

  机译： 用于自动文档分类的方法和系统，使用半监督学习具有部分标记的数据

• 4. USER CLASSIFICATION FROM DATA VIA DEEP SEGMENTATION FOR SEMI-SUPERVISED LEARNING [P] . US2021142152A1 . 2021-05-13

  机译： 用户通过深度分割从数据分类进行半监督学习

• 5. SEMI-SUPERVISED LEARNING-BASED IMAGE CLASSIFICATION METHOD AND APPARATUS, AND COMPUTER DEVICE [P] . WO2021082428A1 . 2021-05-06

  机译： 半监督基于学习的图像分类方法和装置，以及计算机设备

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• 2. Semi-Supervised Learning with Generative Adversarial Networks on Digital Signal Modulation Classification [J] . Ya Tu, Yun Lin, Jin Wang, 计算机、材料和连续体(英文) . 2018,第005期
• 3. Semi-supervised classification based on p-norm multiple kernel learning with manifold regularization [J] . Tao Yang, Dongmei Fu 系统工程与电子技术（英文版） . 2016,第006期
• 4. Semi-supervised center-based discriminative adversarial learning for cross-domain scene-level land-cover classification of aerial images [J] . Zhu Ruixi, Yan Li, Mo Nan, ISPRS Journal of Photogrammetry and Remote Sensing . 2019,第SEPa期
• 5. Semi-supervised center-based discriminative adversarial learning for cross-domain scene-level land-cover classification of aerial images [J] . Zhu Ruixi, Yan Li, Mo Nan, ISPRS Journal of Photogrammetry and Remote Sensing . 2019,第Sepa期
• 6. Deep transfer learning mechanism for fine-grained cross-domain sentiment classification [J] . Cao Zixuan, Zhou Yongmei, Yang Aimin, Connection Science . 2021,第4期
• 7. Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification [C] . Ruidan He, Wee Sun Lee, Hwee Tou Ng, Conference on empirical methods in natural language processing . 2018
• 8. Semi-Supervised Machine Learning Techniques for Classification of Evolving Data in Pattern Recognition =TECHNIQUES SEMI-SUPERVISéES D'APPRENTISSAGE MACHINE POUR LA CLASSIFICATION DES DONNéES EN éVOLUTION EN RECONNAISSANCE DE FORMES [D] . Tencer, Lukas. 2017
• 9. Developing Sustainable Classification of Diseases via Deep Learning and Semi-Supervised Learning [O] . Chunwu Yin, Zhanbo Chen 2020
• 10. Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification [O] . Ruidan He, Wee Sun Lee, Hwee Tou Ng, 2018

• 1. Generative Adversarial Network-Based Electromagnetic Signal Classification: A Semi-Supervised Learning Framework [J] . Huaji Zhou ,Licheng Jiao ,Shilian Zheng . 中国通信 . 2020,第010期
• 2. Internet Multimedia Traffic Classification from QoS Perspective Using Semi-Supervised Dictionary Learning Models [J] . Zaijian Wang ,Yuning Dong ,Shiwen Mao . 中国通信 . 2017,第010期
• 3. 一种适用于光伏场站送出线的自适应距离保护改进方案 [C] . WANG Fengyuan ,王峰渊 ,方愉冬 . 第十届中国智能电网学术研讨会 . 2019
• 4. 基于半监督学习的情感分类方法研究 [A] . 刘欢 . 2019