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Evaluation of Oversampling Data Balancing Techniques in the Context of Ordinal Classification.

, , , , and . IJCNN, page 1-8. IEEE, (2018)

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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)Image descriptors in radiology images: a systematic review., , , , , and . Artif. Intell. Rev., 47 (4): 531-559 (2017)Borinot: an agile torque-controlled robot for hybrid flying and contact loco-manipulation (workshop version)., , , and . CoRR, (2023)An iterative oversampling approach for ordinal classification., , , , , and . SAC, page 771-774. ACM, (2019)Computer Vision in Esophageal Cancer: A Literature Review., , , , and . IEEE Access, (2019)Using deep learning techniques in medical imaging: a systematic review of applications on CT and PET., , , , , and . Artif. Intell. Rev., 53 (6): 4093-4160 (2020)Borinot: an open thrust-torque-controlled robot for research on agile aerial-contact motion., , , , , and . CoRR, (2023)Automatic Generation of Lymphoma Post-Treatment PETs using Conditional-GANs., , , and . DICTA, page 1-6. IEEE, (2019)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)