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Qi-Shi Shi

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Journal Articles

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2022
[j4]
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  - journals/entropy/LiSLL22
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  - https://dblp.org/rec/journals/entropy/LiSLL22
Der-Chiang Li, Qi-Shi Shi, Yao-San Lin, Liang-Sian Lin:
A Boundary-Information-Based Oversampling Approach to Improve Learning Performance for Imbalanced Datasets. Entropy 24(3): 322 (2022)
2019
[j3]
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  - journals/mlc/LiSC19
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  - https://dblp.org/rec/journals/mlc/LiSC19
Der-Chiang Li, Qi-Shi Shi, Hung-Yu Chen:
Building robust models for small data containing nominal inputs and continuous outputs based on possibility distributions. Int. J. Mach. Learn. Cybern. 10(10): 2805-2822 (2019)
2018
[j2]
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  - journals/ijon/LiCS18
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  - https://dblp.org/rec/journals/ijon/LiCS18
Der-Chiang Li, Hung-Yu Chen, Qi-Shi Shi:
Learning from small datasets containing nominal attributes. Neurocomputing 291: 226-236 (2018)
[j1]
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  - journals/ijpr/LiSL18
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Der-Chiang Li, Qi-Shi Shi, Ming-Da Li:
Using an attribute conversion approach for sample generation to learn small data with highly uncertain features. Int. J. Prod. Res. 56(14): 4954-4967 (2018)

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