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Generalizability of Machine Learning Models: Quantitative Evaluation of Three Methodological Pitfalls.

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Does Proprietary Software Still Offer Protection of Intellectual Property in the Age of Machine Learning? - A Case Study using Dual Energy CT Data., , , , and . CoRR, (2021)Generalizability of Machine Learning Models: Quantitative Evaluation of Three Methodological Pitfalls., , , , , and . CoRR, (2022)A Semi-self-supervised Learning Approach for Wheat Head Detection using Extremely Small Number of Labeled Samples., , , , , and . ICCVW, page 1342-1351. IEEE, (2021)Deep Learning-Based Hierarchical Delineation of Kidneys, Tumors, and Cysts in CT Images., , , , , and . KiTS@MICCAI, volume 14540 of Lecture Notes in Computer Science, page 97-106. Springer, (2023)Offer Proprietary Algorithms Still Protection of Intellectual Property in the Age of Machine Learning? - A Case Study Using Dual Energy CT Data., , , , and . Bildverarbeitung für die Medizin, page 345-350. Springer, (2022)Gene Set Databases: A Fountain of Knowledge or a Siren Call?, , , , , and . BCB, page 269-278. ACM, (2019)An Image Encryption System by Cellular Automata with Memory., , , and . ARES, page 1266-1271. IEEE Computer Society, (2008)Modified CycleGAN for the synthesization of samples for wheat head segmentation., , , and . CoRR, (2024)Gene Set Overlap: An Impediment to Achieving High Specificity in Over-representation Analysis., and . BIOINFORMATICS, page 182-193. SciTePress, (2019)978-989-758-353-7.Crop Lodging Prediction From UAV-Acquired Images of Wheat and Canola Using a DCNN Augmented With Handcrafted Texture Features., , , , , , , , , and 5 other author(s). CVPR Workshops, page 2657-2664. Computer Vision Foundation / IEEE, (2019)