… Learning solutions, in order to make them portable and widespread. In this work we propose
a compact DCNN architecture for Gender Recognition … a gender recognition method which …

… 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 …

… We present a comprehensive analysis of how and why face recognition accuracy differs …
if a state-of-the-art deep learning method is trained from scratch using training data explicitly …

… This is the highlight of the SVM method compared to other methods because all the data in
… To determine the classification function based on the SVM method, we will proceed to find …

… We finally propose InsideBias, a novel method to detect biased models. InsideBias is …
gender recognition models based on face images and how the ethnicity bias affects the learning …

… gender recognition using deep convolutional neural networks. Smith et al. [67] proposed a
method based on transfer learning for both gender … classifiers in the gender recognition task. …

… It has been shown that models learn spurious age, gender, … pler to construct than a gender
recognition model; (3) the … The best model over all epochs is selected per inference method …

… The proposed system results showed a reliable age estimation method. The importance of
age … The results of this approach concluded that the method can efficiently classify the images …

… , which is in either way depending on the method applied of the feature extraction. It becomes
… learning. While considering the example from the related problem of face recognition we …

… aimed at uncovering and mitigating both racial and gender biases in machine learning. …
based on the outlined methodology, did not. For example, although the Facial Expression …