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A new classification strategy for human activity recognition using cost sensitive support vector machines for imbalanced data.

, , , и . Kybernetes, 43 (8): 1150-1164 (2014)

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The joint use of sequence features combination and modified weighted SVM for improving daily activity recognition., , , и . Pattern Anal. Appl., 21 (1): 119-138 (2018)News Schemes for Activity Recognition Systems Using PCA-WSVM, ICA-WSVM, and LDA-WSVM., и . Inf., 6 (3): 505-521 (2015)Soft margin SVM modeling for handling imbalanced human activity datasets in multiple homes., , , и . ICMCS, стр. 421-426. IEEE, (2014)Human Activities Recognition in Android Smartphone Using WSVM-HMM Classifier., и . ICOST, том 12157 из Lecture Notes in Computer Science, стр. 386-394. Springer, (2020)Activity recognition from smartphone data using weighted learning methods., и . Intelligenza Artificiale, 15 (1): 1-15 (2021)Activity Recognition from Smartphones Using Hybrid Classifier PCA-SVM-HMM., , и . WINCOM, стр. 1-5. IEEE, (2019)Evaluating C-SVM, CRF and LDA classification for daily activity recognition., и . ICMCS, стр. 272-277. IEEE, (2012)Multicarrier Waveforms Classification with LDA and CNN for 5G.. ISPR (2), том 1941 из Communications in Computer and Information Science, стр. 214-222. Springer, (2023)Activity Recognition From Smartphone Data Using WSVM-HMM Classification., и . Int. J. E Health Medical Commun., 12 (6): 1-20 (2021)A new classification strategy for human activity recognition using cost sensitive support vector machines for imbalanced data., , , и . Kybernetes, 43 (8): 1150-1164 (2014)