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Deep Learning Abilities to Classify Intricate Variations in Temporal Dynamics of Multivariate Time Series., , , , , and . ICASSP, page 3857-3861. IEEE, (2020)A multivariate multifractal analysis of lacunary wavelet series., , , , and . CAMSAP, page 569-573. IEEE, (2019)Multifractal Characterization for Bivariate Data., , , , , and . EUSIPCO, page 1347-1351. IEEE, (2018)Assessing Cross-Dependencies Using Bivariate Multifractal Analysis., , , , , and . ICASSP, page 4514-4518. IEEE, (2018)Finite-Resolution Effects in p-Leader Multifractal Analysis., , , , and . IEEE Trans. Signal Process., 65 (13): 3359-3368 (2017)P-leader multifractal analysis for text type identification., , , , , , , and . ICASSP, page 4661-4665. IEEE, (2017)Extending multifractal analysis to negative regularity: P-exponents and P-leaders., , , , , and . ICASSP, page 305-309. IEEE, (2014)Dcgan for the Synthesis of Multivariate Multifractal Textures: How do We Know it Works?, , , , and . MLSP, page 1-6. IEEE, (2020)Generalized Legendre transform multifractal formalism for nonconcave spectrum estimation., , , , and . SSP, page 1-5. IEEE, (2016)Scale-Free Functional Connectivity Analysis from Source Reconstructed MEG Data., , , , , and . EUSIPCO, page 1397-1401. IEEE, (2018)