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Application of the Singular Spectrum Analysis to the time variations of the amplitude of Schumann resonance measurements.

, , , and . EUSIPCO, page 2215-2219. IEEE, (2020)

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Cubic phase coupling estimation via trispectrum autorregresive modeling., , , and . EUSIPCO, page 1-4. IEEE, (2005)Revision of the variational Bayesian method for uncovering genes regulatory network., , , and . GENSiPS, page 206-209. IEEE, (2011)A Bayesian framework for the inference of gene regulatory networks from time and pseudo-time series data., , , , and . Bioinform., 34 (6): 964-970 (2018)Application of the Singular Spectrum Analysis to the time variations of the amplitude of Schumann resonance measurements., , , and . EUSIPCO, page 2215-2219. IEEE, (2020)Bayesian sparse factor model for transcriptional regulatory networks inference., , , , and . EUSIPCO, page 1-4. IEEE, (2013)Microarray Time Series Modeling and Variational Bayesian Method for Reverse Engineering Gene Regulatory Networks., , , and . SPIT, volume 117 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 70-75. Springer, (2012)Graphical Schemes Designed to Display and Study the Long-term Variations of Schumann Resonance., , , , , , , and . EUSIPCO, page 1-5. IEEE, (2019)Separation of Anthropogenic Noise and Extremely Low Frequency Natural Magnetic Field Using Statistical Features., , , , and . EUSIPCO, page 2405-2409. IEEE, (2018)Uncovering Gene Regulatory Networks from Time-Series Microarray Data with Variational Bayesian Structural Expectation Maximization., , , , and . EURASIP J. Bioinformatics and Systems Biology, (2007)The averaged, overdetermined and generalised LMS (AOGLMS) algorithm., , , , and . EUSIPCO, page 1817-1820. IEEE, (2004)