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2020 – today
- 2023
[j5]Wanwan Zheng, Mingzhe Jin:
Improving the Performance of Feature Selection Methods with Low-Sample-Size Data. Comput. J. 66(7): 1664-1686 (2023)- [j4]Wanwan Zheng, Mingzhe Jin
:
Is word length inaccurate for authorship attribution? Digit. Scholarsh. Humanit. 38(2): 875-890 (2023) - [c6]Zhenxi Wang, Mingzhe Jin, Yong Lu:
High-Precision Detection of Suicidal Ideation on Social Media Using Bi-LSTM and BERT Models. ICCC 2023: 3-18 - [i1]Wataru Zaitsu, Mingzhe Jin:
Distinguishing ChatGPT(-3.5, -4)-generated and human-written papers through Japanese stylometric analysis. CoRR abs/2304.05534 (2023) - 2022
- [j3]Xueqin Liu, Mingzhe Jin:
A corpus-based approach to explore the stylistic peculiarity of Koji Uno's postwar works. Digit. Scholarsh. Humanit. 37(1): 168-184 (2022) - [c5]Yong Lu, Mingzhe Jin:
Dual-Branch Network Fused with Attention Mechanism for Clothes-Changing Person Re-identification. AIMS 2022: 115-125 - 2020
- [j2]Wanwan Zheng, Mingzhe Jin:
Comparing multiple categories of feature selection methods for text classification. Digit. Scholarsh. Humanit. 35(1): 208-224 (2020) - [j1]Wanwan Zheng, Mingzhe Jin:
The Effects of Class Imbalance and Training Data Size on Classifier Learning: An Empirical Study. SN Comput. Sci. 1(2): 71 (2020) - [c4]Wanwan Zheng, Mingzhe Jin:
A Fast Class Noise Detector with Multi-factor-based Learning. CSoNet 2020: 14-25
2010 – 2019
- 2018
- [c3]Wanwan Zheng, Mingzhe Jin:
Do We Need More Training Samples For Text Classification? AICCC 2018: 121-128 - 2017
- [c2]Hao Sun, Mingzhe Jin:
Collaborative Authorship Visualization of Yasunari Kawabata's Novel. Culture Computing 2017: 159-160 - [c1]Hao Sun, Mingzhe Jin:
Ghostwriter identification of Yasunari Kawabata in the 1960s. DH 2017
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