Vrba, J., Steinbach, J., Jirsa, T., & Homma, N. (2026). Feature scaling induced data leakage quantification in machine learning-based voice pathology detection. Applied Soft Computing, 199, N.PAG. https://doi.org/10.1016/j.asoc.2026.115349
Chicago Style (17th ed.) CitationVrba, Jan, Jakub Steinbach, Tomáš Jirsa, and Noriyasu Homma. "Feature Scaling Induced Data Leakage Quantification in Machine Learning-based Voice Pathology Detection." Applied Soft Computing 199 (2026): N.PAG. https://doi.org/10.1016/j.asoc.2026.115349.
MLA (9th ed.) CitationVrba, Jan, et al. "Feature Scaling Induced Data Leakage Quantification in Machine Learning-based Voice Pathology Detection." Applied Soft Computing, vol. 199, 2026, p. N.PAG, https://doi.org/10.1016/j.asoc.2026.115349.