- Shu-Chuan Chu, Zhi-Gang Du, and Jeng-Shyang Pan, “Discrete Fish Migration Optimization for Traveling Salesman Problem,” Data Science and Pattern Recognition, Vol. 4(2), pp. 1–18, 2020
- Wei Song and Chaomin Huang, “Mining High Average-Utility Itemsets Based on Particle Swarm Optimization,” Data Science and Pattern Recognition, Vol. 4(2), pp. 19–32, 2020
- Shigeru Maya and Ken Ueno, “DADIL: Data Augmentation for Domain-Invariant Learning,” Data Science and Pattern Recognition, Vol. 4(2), pp. 33–49, 2020
- Philippe Fournier-Viger, Jiaxuan Li, Jerry Chun-Wei Lin, and Tin Truong Chi, “Discovering Low-Cost High Utility Patterns,” Data Science and Pattern Recognition, Vol. 4(2), pp. 50–64, 2020
- Tin Truong, Anh Tran, Hai Duong, Bac Le, and Philippe Fournier-Viger, “EHUSM: Mining High Utility Sequences with a Pessimistic Utility Model,” Data Science and Pattern Recognition, Vol. 4(2), pp. 65–83, 2020
- Lina Fahed, Philippe Lenca, Yannis Haralambous, and Riwal Lefort, “Distant Event Prediction Based on Sequential Rules,” Data Science and Pattern Recognition, Vol. 4(1), pp. 1–23, 2020
- Peng Hao, Liu Lin, Ma Liya, Zhao Weiiqin, Long Yuntao, and Ma Hongyuan, “Approximate Error Estimation based Incremental Word Representation Learning,” Data Science and Pattern Recognition, Vol. 4(1), pp. 24–40, 2020
- Jeng-Shyang Pan, Xiaopeng Wang, Shu-Chuan Chu, and Trong-The Nguyen, “A Multi-group Grasshopper Optimisation Algorithm for Application in Capacitated Vehicle Routing Problem,” Data Science and Pattern Recognition, Vol. 4(1), pp. 41–56, 2020
- Chung-Ming Kuo, Nai-Chung Yang, Jeng-Yan Wu, Sheng-Chang Chen, “Histogram-Based Image Enhancement in Quasi-Spatial Domain for Compressed Image,” Data Science and Pattern Recognition, Vol. 4(1), pp. 57–71, 2020