… 1, the methodology of this study consists of five main stages: features extracting, statistical
functionals measuring, features standardizing, features selecting, and speaker age and …

… To use the dynamic info., they proposed the gender recognition method using lip … made
suitable for use in machine learning algorithm. The methodologies used in the experiment were …

… 79.2 percent recognition accuracy in gender and ethnicity … classifiers within an AdaBoost
learning scheme. They used … From now on, we will call this method PCA+LDA, irrespective …

… Additionally, we conducted experiments using the transfer learning method to evaluate the
superiority of our proposed model. Our model achieved average accuracy scores of 96%, 73…

… for gender recognition using stacked machine learning algorithms … and compares with existing
machine learning algorithms. … accuracy of gender detection using proposed methodology. …

… It is demonstrated that our fine-tuning method exhibits state-of-the-art performance on both
… learning algorithms to face gender classification we propose a hybrid machine learning …

… learning with gender recognition as an auxiliary task. The auxiliary task helps in learning the
gender … To best of our knowledge, the proposed method is novel and detailed explanations …

… of face gender classification. In order to improve the traditional feature fusion method, this …
It uses the backpropagation learning method of the neural network to determine the input …

… in gender recognition. The extensive experimental results show that our method consistently
outperforms … In this study, we focus on the self-learning ability of parameter λ. The proposed …

… PROPOSED METHODOLOGY 46 In this study, we explored an ML-based gender recognition
47 system using handwriting … 1 RF is a type of ensemble learning method that combines …