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   • Shao-Yuan Li
   • Sheng-Jun Huang

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2. A viable framework for semi-supervised learning on realistic dataset

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   • Guochen Xie
   • Ye Yu

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3. An instance-dependent simulation framework for learning with label noise

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   • Dong Yin

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4. Online AutoML: an adaptive AutoML framework for online learning

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   • Joaquin Vanschoren

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5. Learning from self-discrepancy via multiple co-teaching for cross-domain person re-identification

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   • Yuzhuo Fu
   • Ting Liu

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6. A Bayesian-inspired, deep learning-based, semi-supervised domain adaptation technique for land cover mapping

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   • Charlotte Pelletier
   • François Petitjean

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7. Scalable clustering of segmented trajectories within a continuous time framework: application to maritime traffic data

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8. Multimodal deep learning for cetacean distribution modeling of fin whales (Balaenoptera physalus) in the western Mediterranean Sea

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   • R. Fablet

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9. Shift of pairwise similarities for data clustering

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   OriginalPaper Open access 22 June 2022 Pages: 2025 - 2051

   

10. Can language models automate data wrangling?

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    • María José Ramírez-Quintana

    OriginalPaper Open access 01 December 2022 Pages: 2053 - 2082

    

11. Automated imbalanced classification via layered learning

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    OriginalPaper 28 December 2022 Pages: 2083 - 2104

    

12. Adversarial supervised contrastive learning

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    • Daiwei Yu
    • Hongchuan Yu

    OriginalPaper 01 November 2022 Pages: 2105 - 2130

    

13. Improving fairness generalization through a sample-robust optimization method

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    • Mohamed Siala

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14. Distilling ensemble of explanations for weakly-supervised pre-training of image segmentation models

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    • Haoyi Xiong
    • Dejing Dou

    OriginalPaper 09 June 2022 Pages: 2193 - 2209

    

15. Weakly supervised change detection using guided anisotropic diffusion

    • Rodrigo Caye Daudt
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    • Yann Gousseau

    OriginalPaper 10 June 2021 Pages: 2211 - 2237