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Tackling the ordinal and imbalance nature of a melanoma image classification problem., , , , и . IJCNN, стр. 2156-2163. IEEE, (2016)X5Learn: A Personalised Learning Companion at the Intersection of AI and HCI., , , , , , , и . IUI Companion, стр. 70-74. ACM, (2021)Representing ordinal input variables in the context of ordinal classification., , , и . IJCNN, стр. 2174-2181. IEEE, (2016)A PAC-Bayesian Perspective on Structured Prediction with Implicit Loss Embeddings., , , и . CoRR, (2020)Ordinal Regression Methods: Survey and Experimental Study., , , , и . IEEE Trans. Knowl. Data Eng., 28 (1): 127-146 (2016)Can Population-based Engagement Improve Personalisation? A Novel Dataset and Experiments., , , , и . EDM, International Educational Data Mining Society, (2022)Ordinal Evolutionary Artificial Neural Networks for Solving an Imbalanced Liver Transplantation Problem., , , , и . HAIS, том 9648 из Lecture Notes in Computer Science, стр. 451-462. Springer, (2016)TrueLearn: A Python Library for Personalised Informational Recommendations with (Implicit) Feedback., , , , , и . CoRR, (2023)Machine learning paradigms for weed mapping via unmanned aerial vehicles., , , , , и . SSCI, стр. 1-8. IEEE, (2016)AI Will Always Love You: Studying Implicit Biases in Romantic AI Companions., , и . CoRR, (февраля 2025)