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An Investigation from Perception to Decision. In Proceedings of the 24th International Conference on Intelligent User Interfaces (Marina del Ray, California) (IUI \u201919). Association for Computing Machinery, New York, NY, USA, 460\u2013468. https:\/\/doi.org\/10.1145\/3301275.3302277"},{"key":"e_1_3_2_2_57_1","volume-title":"European Conference on Computer Vision (ECCV).","author":"Zhang Jianming","year":"2016","unstructured":"Jianming Zhang , Zhe Lin , Jonathan Brandt , Xiaohui Shen , and Stan Sclaroff . 2016 . Top-down Neural Attention by Excitation Backprop . In European Conference on Computer Vision (ECCV). Jianming Zhang, Zhe Lin, Jonathan Brandt, Xiaohui Shen, and Stan Sclaroff. 2016. Top-down Neural Attention by Excitation Backprop. In European Conference on Computer Vision (ECCV)."},{"key":"e_1_3_2_2_58_1","volume-title":"Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency","author":"Zhang Yunfeng","unstructured":"Yunfeng Zhang , Q. 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