Lahmiri, S., Tadj, C., Gargour, C., & Bekiros, S. (2023). Optimal tuning of support vector machines and k-NN algorithm by using Bayesian optimization for newborn cry signal diagnosis based on audio signal processing features. Chaos, solitons and fractals, 167, 112972. https://doi.org/10.1016/j.chaos.2022.112972
Chicago Style (17th ed.) CitationLahmiri, Salim, Chakib Tadj, Christian Gargour, and Stelios Bekiros. "Optimal Tuning of Support Vector Machines and K-NN Algorithm by Using Bayesian Optimization for Newborn Cry Signal Diagnosis Based on Audio Signal Processing Features." Chaos, Solitons and Fractals 167 (2023): 112972. https://doi.org/10.1016/j.chaos.2022.112972.
MLA (9th ed.) CitationLahmiri, Salim, et al. "Optimal Tuning of Support Vector Machines and K-NN Algorithm by Using Bayesian Optimization for Newborn Cry Signal Diagnosis Based on Audio Signal Processing Features." Chaos, Solitons and Fractals, vol. 167, 2023, p. 112972, https://doi.org/10.1016/j.chaos.2022.112972.