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Automatic Classification of Antepartum Cardiotocography Using Fuzzy Clustering and Adaptive Neuro -Fuzzy Inference System.

, , , , , , , and . BIBM, page 1938-1942. IEEE, (2020)

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Intelligent classification of antepartum cardiotocography model based on deep forest., , , , , , , , and . Biomed. Signal Process. Control., (2021)Fuzzy clustering algorithms for identification of Exocarpium Citrus Grandis through chromatography., , , , , , , , and . Soft Comput., 21 (5): 1291-1300 (2017)A Decomposition-Based Local Search for Large-Scale Many-Objective Vehicle Routing Problems With Simultaneous Delivery and Pickup and Time Windows., , , , , , and . IEEE Syst. J., 14 (4): 5253-5264 (2020)Automatic Classification of Antepartum Cardiotocography Using Fuzzy Clustering and Adaptive Neuro -Fuzzy Inference System., , , , , , , and . BIBM, page 1938-1942. IEEE, (2020)Joint optic disc and cup segmentation using semi-supervised conditional GANs., , , , , , , and . Comput. Biol. Medicine, (2019)Research on the Design of Active Learning Algorithm based on Query-by-Committee for Intelligent Fetal Monitoring., , , , , , , , and . BIBM, page 515-521. IEEE, (2021)Dynamic evaluation model of coronary heart disease for ubiquitous healthcare., , , , , , and . Comput. Ind., (2015)Investigating the interpretability of fetal status assessment using antepartum cardiotocographic records., , , , , , , and . BMC Medical Informatics Decis. Mak., 21 (1): 355 (2021)Imbalanced Cardiotocography Multi-classification for Antenatal Fetal Monitoring Using Weighted Random Forest., , , , , , and . ICSH, volume 11924 of Lecture Notes in Computer Science, page 75-85. Springer, (2019)A Class Imbalance Monitoring Model for Fetal Heart Contractions Based on Gradient Boosting Decision Tree Ensemble Learning., , , , and . DMBD (2), volume 1454 of Communications in Computer and Information Science, page 217-227. Springer, (2021)