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An instance and variable selection approach in pixel-based classification for automatic white blood cells segmentation.

, , , , and . Pattern Anal. Appl., 23 (4): 1709-1726 (2020)

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Semi-supervised Super-pixels classification for White Blood Cells segmentation., , , and . PAIS, page 1-8. IEEE, (2018)A new correlation-based approach for ensemble selection in random forests., , , , and . Int. J. Intell. Comput. Cybern., 14 (2): 251-268 (2021)Semi-Supervised learning with Collaborative Bagged Multi-label K-Nearest-Neighbors., , , , and . Open Comput. Sci., 9 (1): 226-242 (2019)Comparaison of Ensemble Cost Sensitive Algorithms: Application to Credit Scoring Prediction., , , and . ICAASE, volume 2326 of CEUR Workshop Proceedings, page 56-61. CEUR-WS.org, (2018)Semi-supervised superpixel classification for medical images segmentation: application to detection of glaucoma disease., , , and . Multidimens. Syst. Signal Process., 29 (3): 979-998 (2018)Reinforced confidence in self-training for a semi-supervised medical data classification., , , and . IJAPR, 4 (2): 107-127 (2017)Application of pixel selection in pixel-based classification for automatic white blood cell segmentation., , , and . MedPRAI, page 31-38. ACM, (2016)Statistical Comparisons of the Top 10 Algorithms in Data Mining for Classi cation Task., , and . Int. J. Interact. Multim. Artif. Intell., 4 (1): 46-51 (2016)Instances selection algorithm by ensemble margin., , , and . J. Exp. Theor. Artif. Intell., 30 (3): 457-478 (2018)An instance and variable selection approach in pixel-based classification for automatic white blood cells segmentation., , , , and . Pattern Anal. Appl., 23 (4): 1709-1726 (2020)