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Combining data fusion with multiresolution analysis for improving the classification accuracy of uterine EMG signals.

, , , and . EURASIP J. Adv. Sig. Proc., (2012)

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Detecting labor using graph theory on connectivity matrices of uterine EMG., , , , , and . EMBC, page 2195-2198. IEEE, (2015)Enhancement of two spatial steganography algorithms by using a chaotic system: Comparative analysis., , , , and . ICITST, page 20-25. IEEE, (2013)RDO-Based Light Field Image Coding Using Convolutional Neural Networks and Linear Approximation., , , , , and . DCC, page 554. IEEE, (2019)Classification of pregnancy and labor contractions using a graph theory based analysis., , , , , , and . EMBC, page 2876-2879. IEEE, (2015)Human static postures analysis using empirical mode decomposition., , , , , , , and . EMBC, page 3765-3768. IEEE, (2016)On-line signature verification using a nonstationary autoregressive model representation., , and . ISCAS, page 2303-2306. IEEE, (1993)SimiNet: A Novel Method for Quantifying Brain Network Similarity., , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 40 (9): 2238-2249 (2018)Uterine EMG analysis: a dynamic approach for change detection and classification., and . IEEE Trans. Biomed. Engineering, 47 (6): 748-756 (2000)Harris, SIFT and SURF features comparison for vehicle localization based on virtual 3D model and camera., , , , and . IPTA, page 307-312. IEEE, (2012)Combining multiple support vector machines for boosting the classification accuracy of uterine EMG signals., , , , and . ICECS, page 631-634. IEEE, (2011)