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2020 – today
- 2024
[j6]Ganglong Duan, Shunfei Yan
, Meng Zhang:
A Hybrid Neural Network Model for Sentiment Analysis of Financial Texts Using Topic Extraction, Pre-Trained Model, and Enhanced Attention Mechanism Methods. IEEE Access 12: 98207-98224 (2024)- 2022
- [j5]Ganglong Duan, Weiyu Han:
Heavy Overload Prediction Method of Distribution Transformer Based on GBDT. Int. J. Pattern Recognit. Artif. Intell. 36(9): 2259014:1-2259014:17 (2022) - 2021
- [j4]Ganglong Duan, Xin Ma, Jianren Wang, Zhishi Wang, Yan Wang:
Optimization of Urban Bus Stops Setting Based on Data Mining. Int. J. Pattern Recognit. Artif. Intell. 35(8): 2159028:1-2159028:21 (2021)
2010 – 2019
- 2019
- [j3]Ganglong Duan, Wenxiu Hu, Yu Tian:
Soft neural network-based block chain risk estimation. Int. J. Intell. Syst. Technol. Appl. 18(3): 257-270 (2019) - [j2]Ganglong Duan, Wenxiu Hu, Yu Tian:
Data flow tracking-based block chain modelling. Int. J. Intell. Syst. Technol. Appl. 18(4): 323-339 (2019) - 2018
- [c6]Ganglong Duan, Xin Ma:
A Coupon Usage Prediction Algorithm Based On XGBoost. ICNC-FSKD 2018: 178-183 - 2016
- [j1]Ganglong Duan, Wenxiu Hu, Jianren Wang:
Research on the natural image super-resolution reconstruction algorithm based on compressive perception theory and deep learning model. Neurocomputing 208: 117-126 (2016) - 2013
- [c5]Ganglong Duan, Long Wei, Jianren Wang, Hongqi Wang:
Adaptive Weighted Multi-Element Collaborative Representation for Visual Classification. ICICS 2013: 1-5 - [c4]Ganglong Duan, Ni Li, Zhishi Wang, Jianan Huangfu:
A multiple sparse representation classification approach based on weighted residuals. ICNC 2013: 995-999 - 2011
- [c3]Ganglong Duan, Peng Liu, Peng Chen, Qiao Jiang, Ni Li:
Short-term traffic flow prediction based on rough set and support vector machine. FSKD 2011: 1526-1530 - 2010
- [c2]Zhiwen Huang, Ganglong Duan, Jianren Wang:
A method combined of support vector machine and F-scores for customer classification. FSKD 2010: 2702-2705
2000 – 2009
- 2005
- [c1]Erhu Zhang, Jiwen Lu, Ganglong Duan:
Gait Recognition via Independent Component Analysis Based on Support Vector Machine and Neural Network. ICNC (1) 2005: 640-649
Coauthor Index
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