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Active learning for ordinal classification on incomplete data.

• Authors : He, Deniu¹ (AUTHOR)

• Source: Intelligent Data Analysis. 2023, Vol. 27 Issue 3, p613-634. 22p.

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An adaptive active learning algorithm with informativeness and representativeness.

• Authors : Lv, Qiuyue^1,2 (AUTHOR); Dong, Minggang^1,2 (AUTHOR)

• Source: Intelligent Data Analysis. 2023, Vol. 27 Issue 1, p199-222. 24p.

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Deep transfer learning based human activity recognition by transforming IMU data to image domain using novel activity image creation method.

• Authors : Mohammed Hashim, B.A.¹ (AUTHOR); Amutha, R.² (AUTHOR)

• Source: Journal of Intelligent & Fuzzy Systems. 2022, Vol. 43 Issue 3, p2883-2890. 8p.

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A two-stage clustering-based cold-start method for active learning.

• Authors : He, Deniu¹ (AUTHOR); Yu, Hong¹ (AUTHOR) ; Wang, Guoyin¹ (AUTHOR)

• Source: Intelligent Data Analysis. 2021, Vol. 25 Issue 5, p1169-1185. 17p.

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Micro-expression recognition based on facial action learning with muscle movement constraints.

• Authors : Cen, Shixin¹ (AUTHOR); Yu, Yang² (AUTHOR); Yan, Gang² (AUTHOR)

• Source: Journal of Intelligent & Fuzzy Systems. 2021, Vol. 41 Issue 2, p2905-2921. 17p.

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Active learning strategies for solving the cold user problem in model-based recommender systems.

• Authors : Geurts, Tomas¹ (AUTHOR) ; Giannikis, Stelios¹ (AUTHOR) ; Frasincar, Flavius¹ (AUTHOR)

• Source: Web Intelligence (2405-6456). 2020, Vol. 18 Issue 4, p269-283. 15p.

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An efficient density-based clustering with side information and active learning: A case study for facial expression recognition task.

• Authors : Vu, Viet-Vu¹ ; Do, Hong-Quan¹; Dang, Vu-Tuan¹

• Source: Intelligent Data Analysis. 2019, Vol. 23 Issue 1, p227-240. 14p.

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Safe semi-supervised classification algorithm combined with active learning sampling strategy.

• Authors : Zhao, Jianhua¹ ; Liu, Ning²; Malov, A.³

• Source: Journal of Intelligent & Fuzzy Systems. 2018, Vol. 35 Issue 4, p4001-4010. 10p.

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Active learning support vector machines with low-rank transformation.

• Authors : Gong, Liang¹; Guo, Wenbo¹ .; Yang, Yupu¹

• Source: Intelligent Data Analysis. 2018, Vol. 22 Issue 4, p701-715. 15p.

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An integrated decision-making framework for blended teaching quality evaluation in college English courses based on the double-valued neutrosophic sets.

• Authors : Wei, Lin

Subjects: COLLEGE curriculum; EFFECTIVE teaching; ONLINE education

• Source: Journal of Intelligent & Fuzzy Systems; 2023, Vol. 45 Issue 2, p3259-3266, 8p

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