검색어 : 통합검색[Introduction to deep learning :]
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961
- Human Behavior Recognition Based on Deep Learning
- Chen, Yin; Tiangong University, School of Physical Science and Technology, Tianjin, China; (Artificial Intelligence, Networking and Information Technology (AINIT), 2021 2nd International Seminar on, v.2021, 2021, pp.88-91)
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962
- Individualized prediction of depressive disorder in the elderly: A multitask deep learning approach
- Xu, Zhongzhi; Zhang, Qingpeng; Li, Wentian; Li, Mingyang; Yip, Paul Siu Fai; School of Data Science, City University of Hong Kong; School of Data Science, City University of Hong Kong; Wuhan Hospital for Psychotherapy, Tongji Medical College of Huazhong University of Science and Technology; Department of Industrial and Management Systems Engineering, The University of South Florida; Centre for Suicide Research and Prevention and the Faculty of Social Sciences, The University of Hong Kong; (International journal of medical informatics, v.132, 2019, pp.103973)
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963
- Training restricted Boltzmann machines: An introduction
- Fischer, A.; Igel, C.; ; (Pattern recognition, v.47, 2014, pp.25-39)
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964
- Path Planning Algorithms for Mobile Robots Based on Deep Reinforcement Learning
- Zhang Zihan; ; (Highlights in Science, Engineering and Technology, v.114, 2024, pp.49-55)
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965
- Advancing Marine Genomics: The Role of Deep Learning in Deciphering Chelonia mydas Genetic Data
- Aslam , Fahad; Aplop, Faizah; ; (Trends in sciences, v.22, 2025, pp.9149)
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966
- Text summarization based on semantic graphs: an abstract meaning representation graph-to-text deep learning approach
- Kouris, Panagiotis; Alexandridis, Georgios; Stafylopatis, Andreas; ; (Journal of big data, v.11, 2024, pp.95)
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967
- A Deep Learning Approach for Detecting Colorectal Cancer via Raman Spectra
- Cao, Zheng; Pan, Xiang; Yu, Hongyun; Hua, Shiyuan; Wang, Da; Chen, Danny Z.; Zhou, Min; Wu, Jian; RealDoctor AI Research Center, College of Computer Science and Technology, Zhejiang University, China; Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, China; RealDoctor AI Research Center, College of Computer Science and Technology, Zhejiang University, China; Institute of Translational Medicine and the Cancer Institute of the Second Affiliated Hospital, Zhejiang University School of Medicine, China; Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, China; Department of Computer Science and Engineering, University of Notre Dame, USA; Institute of Translational Medicine and the Cancer Institute of the Second Affiliated Hospital, Zhejiang University School of Medicine, China; Second Affiliated Hospital School of Medicine, and School of Public Health, Zhejiang University, China; (BME frontiers, v.2022, 2022, pp.9872028)
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968
- Unsupervised content-preserving transformation for optical microscopy
- Li, Xinyang; Zhang, Guoxun; Qiao, Hui; Bao, Feng; Deng, Yue; Wu, Jiamin; He, Yangfan; Yun, Jingping; Lin, Xing; Xie, Hao; Wang, Haoqian; Dai, Qionghai; Department of Automation, Tsinghua University, Beijing, 100084 China; Department of Automation, Tsinghua University, Beijing, 100084 China; Department of Automation, Tsinghua University, Beijing, 100084 China; Department of Automation, Tsinghua University, Beijing, 100084 China; School of Astronautics, Beihang University, Beijing, 100191 China; Department of Automation, Tsinghua University, Beijing, 100084 China; Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, 510060 China; Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, 510060 China; Department of Automation, Tsinghua University, Beijing, 100084 China; Department of Automation, Tsinghua University, Beijing, 100084 China; Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055 China; Department of Automation, Tsinghua University, Beijing, 100084 China; (Light, science & applications, v.10, 2021, pp.44)
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969
- Deep Learning for the Detection of Multiple Fundus Diseases Using Ultra-widefield Images
- Sun, Gongpeng; Wang, Xiaoling; Xu, Lizhang; Li, Chang; Wang, Wenyu; Yi, Zuohuizi; Luo, Huijuan; Su, Yu; Zheng, Jian; Li, Zhiqing; Chen, Zhen; Zheng, Hongmei; Chen, Changzheng; Eye Center, Renmin Hospital of Wuhan University, No. 9 ZhangZhiDong Street, Wuchang District, Wuhan, 430060 Hubei China; Eye Center, Renmin Hospital of Wuhan University, No. 9 ZhangZhiDong Street, Wuchang District, Wuhan, 430060 Hubei China; Wuhan Aiyanbang Technology Co., Ltd, Wuhan, 430073 China; Tianjin Key Laboratory of Retinal Functions and Diseases, Tianjin International Joint Research and Development Centre of Ophthalmology and Vision Science, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, Tianjin, 300384 China; Eye Center, Renmin Hospital of Wuhan University, No. 9 ZhangZhiDong Street, Wuchang District, Wuhan, 430060 Hubei China; Eye Center, Renmin Hospital of Wuhan University, No. 9 ZhangZhiDong Street, Wuchang District, Wuhan, 430060 Hubei China; The People’s Hospital of Yidu, Yidu, 443300 China; Eye Center, Renmin Hospital of Wuhan University, No. 9 ZhangZhiDong Street, Wuchang District, Wuhan, 430060 Hubei China; School of Electron; (Ophthalmology and therapy, v.12, 2023, pp.895-907)
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970
- NIMG-65. IMPROVED SPATIAL MAPPING OF TUMOR AGGRESSIVENESS WITH 1H MAGNETIC RESONANCE SPECTROSCOPY AND DEEP LEARNING IN PATIENTS WITH NEWLY-DIAGNOSED GLIOMA
- Tran, Nate; Li, Yan; Ellison, Jacob; Adegbite, Oluwaseun; Phillips, Joanna J; Molinaro, Annette; Pedoia, Valentina; Shai, Anny; Nair, Devika; Jakary, Angela; Lafontaine, Marisa; Villanueva-Meyer, Javier; Berger, Mitchel S; Hervey-Jumper, Shawn L; Aghi, Manish; Chang, Susan M; Lupo, Janine; ; (Neuro-oncology, v.24, 2022, pp.vii179-vii179)
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