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Practical and Useful Tips on Discrete Wavelet Transforms sp Tips & Tricks.. IEEE Signal Process. Mag., 32 (3): 162-166 (2015)Fusing time, frequency and shape-related information: Introduction to the Discrete Shapelet Transform's second generation (DST-II).. Inf. Fusion, (2018)Development of a support vector machine-based navigation system for driving a mobile robot through paths in plantations., , , и . IECON, стр. 1489-1494. IEEE, (2012)Use of Paraconsistent Feature Engineering to support the Long Term Feature choice for Speaker Verification., , и . FLAIRS, (2021)Discrete Wavelet Transform and Support Vector Machine Applied to Pathological Voice Signals Identification., , , и . ISM, стр. 785-789. IEEE Computer Society, (2005)Music Genre Classification Based on Entropy and Fractal Lacunarity., , , , и . ISM, стр. 533-536. IEEE Computer Society, (2011)Time-frequency relevant features for critical articulators movement inference., , и . EUSIPCO, стр. 2802-2806. IEEE, (2012)Genetic Algorithm for Feature Selection Applied to Financial Time Series Monotonicity Prediction: Experimental Cases in Cryptocurrencies and Brazilian Assets., , , , , , , и . Entropy, 26 (3): 177 (марта 2024)Metaheuristic Algorithms for Enhancing Multicepstral Representation in Voice Spoofing Detection: An Experimental Approach., , , , , и . ICSI (1), том 14788 из Lecture Notes in Computer Science, стр. 247-262. Springer, (2024)Effectively Interpreting Discrete Wavelet Transformed Signals Lecture Notes.. IEEE Signal Process. Mag., 34 (3): 89-100 (2017)