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Cross-Validation for Imbalanced Datasets: Avoiding Overoptimistic and Overfitting Approaches Research Frontier., , , , and . IEEE Comput. Intell. Mag., 13 (4): 59-76 (2018)Evaluating Post-hoc Interpretability with Intrinsic Interpretability., , , and . CoRR, (2023)Many-objective optimization of a three-echelon supply chain: A case study in the pharmaceutical industry., , , and . Comput. Ind. Eng., (2022)The impact of heterogeneous distance functions on missing data imputation and classification performance., , , , and . Eng. Appl. Artif. Intell., (2022)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)Evaluating the faithfulness of saliency maps in explaining deep learning models using realistic perturbations., , , , and . Inf. Process. Manag., 60 (2): 103225 (2023)An artificial neural networks approach for assessment treatment response in oncological patients using PET/CT images., , , , , and . BMC Medical Imaging, 17 (1): 13:1-13:8 (2017)Evaluation of Oversampling Data Balancing Techniques in the Context of Ordinal Classification., , , , and . IJCNN, page 1-8. IEEE, (2018)