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Combining Mitigation Treatments against Biases in Personalized Rankings: Use Case on Item Popularity., , и . IIR, том 2947 из CEUR Workshop Proceedings, CEUR-WS.org, (2021)Iris Quality Assessment: A Statistical Approach for Biometric Security Applications., , , , и . CSS, том 11161 из Lecture Notes in Computer Science, стр. 270-278. Springer, (2018)First International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs 2024)., , , , , и . ECIR (5), том 14612 из Lecture Notes in Computer Science, стр. 415-421. Springer, (2024)Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations., , , и . SIGIR, стр. 646-656. ACM, (2022)Do Not Trust a Model Because It is Confident: Uncovering and Characterizing Unknown Unknowns to Student Success Predictors in Online-Based Learning., , , и . LAK, стр. 441-452. ACM, (2023)Demographic Bias in Low-Resolution Deep Face Recognition in the Wild., , и . IEEE J. Sel. Top. Signal Process., 17 (3): 599-611 (мая 2023)(Un)fair Exposure in Deep Face Rankings at a Distance., , и . IJCB, стр. 1-9. IEEE, (2023)How Close are Predictive Models to Teachers in Detecting Learners at Risk?, , , и . UMAP, стр. 135-145. ACM, (2023)International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2020)., , , и . ECIR (2), том 12036 из Lecture Notes in Computer Science, стр. 637-640. Springer, (2020)Identifying and Comparing Multi-dimensional Student Profiles Across Flipped Classrooms., , , и . AIED (1), том 13355 из Lecture Notes in Computer Science, стр. 90-102. Springer, (2022)