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Computational Intelligence Methods for Financial Time Series Modeling., , , and . Int. J. Bifurc. Chaos, 16 (7): 2053-2062 (2006)Financial Fraudulent Statements Detection through a Deep Dense Artificial Neural Network., , , and . IISA, page 1-5. IEEE, (2019)Weighted Markov Chain Model for Musical Composer Identification., , and . EvoApplications (2), volume 6625 of Lecture Notes in Computer Science, page 334-343. Springer, (2011)Time Series Forecasting Methodology for Multiple-Step-Ahead Prediction., , and . Computational Intelligence, page 456-461. IASTED/ACTA Press, (2005)Algorithm 666: Chabis: a mathematical software package for locating and evaluating roots of systems of nonlinear equations.. ACM Trans. Math. Softw., 14 (4): 330-336 (1988)On perturbation of roots of homogeneous algebraic systems., and . Math. Comput., 75 (255): 1383-1402 (2006)Survey of Methods for Solving Systems of Nonlinear Equations, Part I: Root-finding Approaches., , , , and . CoRR, (2022)Clustering in evolutionary algorithms to efficiently compute simultaneously local and global minima., , and . Congress on Evolutionary Computation, page 1847-1854. IEEE, (2005)Computational intelligence algorithms for risk-adjusted trading strategies., , , , and . IEEE Congress on Evolutionary Computation, page 540-547. IEEE, (2007)Analysis of epileptic magnetoencephalogram dynamics through clustering algorithms., , , and . DSP, page 607-610. IEEE, (2002)