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Practical perspectives of consumer fairness in recommendation., , , and . Inf. Process. Manag., 60 (2): 103208 (2023)Faithful Path Language Modelling for Explainable Recommendation over Knowledge Graph., , , , and . CoRR, (2023)A multi-biometric system for continuous student authentication in e-learning platforms., , and . Pattern Recognit. Lett., (2018)Fully-automated deep learning pipeline for segmentation and classification of breast ultrasound images., , , , , and . J. Comput. Sci., (2022)XRecSys: A framework for path reasoning quality in explainable recommendation., , , and . Softw. Impacts, (December 2022)Explaining Bias in Deep Face Recognition via Image Characteristics., , and . IJCB, page 1-10. IEEE, (2022)Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems., , , , and . CIKM, page 3753-3757. ACM, (2023)Experts' View on Challenges and Needs for Fairness in Artificial Intelligence for Education., , and . AIED (1), volume 13355 of Lecture Notes in Computer Science, page 243-255. Springer, (2022)Connecting User and Item Perspectives in Popularity Debiasing for Collaborative Recommendation., , and . CoRR, (2020)A Region-based Training Data Segmentation Strategy to Credit Scoring., , , and . SECRYPT, page 275-282. SCITEPRESS, (2022)