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Visual Explanations of Differentiable Greedy Model Predictions on the Influence Maximization Problem., , , , , and . Big Data Cogn. Comput., 7 (3): 149 (2023)NaMemo: Enhancing Lecturers' Interpersonal Competence of Remembering Students' Names., , , , , and . Conference on Designing Interactive Systems (Companion Volume), page 305-311. ACM, (2020)Exploiting Explanations for Model Inversion Attacks., , , and . ICCV, page 662-672. IEEE, (2021)IRIS: Interpretable Rubric-Informed Segmentation for Action Quality Assessment., , and . IUI, page 368-378. ACM, (2023)The Human(s) in the Loop - Bringing AI and HCI Together., , , and . INTERACT (4), volume 11749 of Lecture Notes in Computer Science, page 731-734. Springer, (2019)Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning., , and . CHI, page 182:1-182:32. ACM, (2022)COGAM: Measuring and Moderating Cognitive Load in Machine Learning Model Explanations., , , and . CHI, page 1-14. ACM, (2020)Incremental XAI: Memorable Understanding of AI with Incremental Explanations., , and . CHI, page 315:1-315:17. ACM, (2024)Design of an intelligible mobile context-aware application., and . Mobile HCI, page 157-166. ACM, (2011)Toolkit to support intelligibility in context-aware applications., and . UbiComp, page 13-22. ACM, (2010)