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How distance metrics influence missing data imputation with k-nearest neighbours., , , and . Pattern Recognit. Lett., (2020)Image descriptors in radiology images: a systematic review., , , , , and . Artif. Intell. Rev., 47 (4): 531-559 (2017)An iterative oversampling approach for ordinal classification., , , , , and . SAC, page 771-774. ACM, (2019)Evaluation of Oversampling Data Balancing Techniques in the Context of Ordinal Classification., , , , and . IJCNN, page 1-8. IEEE, (2018)Interpretability vs. Complexity: The Friction in Deep Neural Networks., , , and . IJCNN, page 1-7. IEEE, (2020)Going Back to Basics on Volumetric Segmentation of the Lungs in CT: A Fully Image Processing Based Technique., , , , and . IbPRIA (2), volume 11868 of Lecture Notes in Computer Science, page 322-334. Springer, (2019)Registration of CT with PET: A Comparison of Intensity-Based Approaches., , , , , and . IWCIA, volume 11255 of Lecture Notes in Computer Science, page 134-149. Springer, (2018)The impact of heterogeneous distance functions on missing data imputation and classification performance., , , , and . Eng. Appl. Artif. Intell., (2022)Towards Sustainable Inventory Management: A Many-Objective Approach to Stock Optimization in Multi-Storage Supply Chains., , , and . Algorithms, 17 (6): 271 (June 2024)Interpreting deep learning models for ordinal problems., , , and . ESANN, (2018)