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Title: GitHub - Silflame/Reading-List: Focus on machine learning (especially transfer learning) and its application on biomedical data processing and analysis. · GitHub

Open Graph Title: GitHub - Silflame/Reading-List: Focus on machine learning (especially transfer learning) and its application on biomedical data processing and analysis.

X Title: GitHub - Silflame/Reading-List: Focus on machine learning (especially transfer learning) and its application on biomedical data processing and analysis.

Description: Focus on machine learning (especially transfer learning) and its application on biomedical data processing and analysis. - Silflame/Reading-List

Open Graph Description: Focus on machine learning (especially transfer learning) and its application on biomedical data processing and analysis. - Silflame/Reading-List

X Description: Focus on machine learning (especially transfer learning) and its application on biomedical data processing and analysis. - Silflame/Reading-List

Opengraph URL: https://github.com/Silflame/Reading-List

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https://github.com/Silflame/Reading-List#reading-list
https://github.com/Silflame/Reading-List#part-1-transfer-learning--domain-adaptation-
https://github.com/Silflame/Reading-List#11-survey
[paper]https://arxiv.org/abs/1802.03601
https://github.com/Silflame/Reading-List#12-method
[paper]https://arxiv.org/abs/1811.00473
[paper]https://www.cv-foundation.org/openaccess/content_cvpr_2014/html/Long_Transfer_Joint_Matching_2014_CVPR_paper.html
https://github.com/Silflame/Reading-List#part--2-representation-learning-on-graphs
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[paper]https://arxiv.org/abs/1809.07294
https://github.com/Silflame/Reading-List#32-segmentation
[paper]https://arxiv.org/abs/1807.07716
[paper]https://arxiv.org/abs/1702.07841
[paper]https://link.springer.com/chapter/10.1007/978-3-319-59050-9_47
[paper]https://link.springer.com/chapter/10.1007/978-3-030-00931-1_68
[paper]https://arxiv.org/abs/1804.10916
https://github.com/Silflame/Reading-List#33-disease-diagnosis
[paper]https://www.nature.com/articles/s41551-018-0304-0
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[paper]https://academic.oup.com/gigascience/advance-article/doi/10.1093/gigascience/giy130/5160132
[paper]https://arxiv.org/ftp/arxiv/papers/1704/1704.08841.pdf
[paper]https://ieeexplore.ieee.org/abstract/document/7839189
[paper]https://arxiv.org/pdf/1712.08726.pdf
[paper]https://ieeexplore.ieee.org/abstract/document/7947200
https://github.com/Silflame/Reading-List#part-4-others
https://github.com/Silflame/Reading-List#41-explanatory
[paper]https://arxiv.org/abs/1602.04938
[paper]http://papers.nips.cc/paper/7062-a-unified-approach-to-interpreting-model-predictions
https://github.com/Silflame/Reading-List#42-loss-function
[paper]https://arxiv.org/pdf/1511.08861.pdf
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