… Section 2 presents our methodology based on FIS. Section 3 present databases before
discussing deeply experimental setup, evaluation metrics … Learning gender with support faces …

In this project, competition-winning deep neural networks with pretrained weights are used
for image-based gender recognition and age estimation. Transfer learning is explored using …

… Once the models were completed, we ran our test dataset to assess the inferring methodology
for gender prediction from Bangla names. We have achieved a satisfactory performance …

… and a transfer learning strategy for gender recognition in … methodology based on Recurrent
Neural Networks (RNNs) and Convolutional Neural Networks (CNNs) for gender recognition …

… learning approaches. In this contribution, we present an automated gender recognition …
The main idea behind this paper was to find a more efficient method for gender recognition, …

… of gender recognition. The experimental results on a large set of faces showed that the
proposed method … cannot be used with standard machine learning method tools like SVM. One …

… In this paper, the proposed method performs gender recognition, but the designed platform
… in terms of gender recognition accuracy. It is worth noting that no transfer learning was done …

… This paper proposes a method for gender recognition in articulated human … gender recognition
from an articulated body, this work also chooses the procedure of example-based learning…

… between males and females, it is still unknown that whether these microstate parameters
can be used as potential biomarkers for gender classification based on machine learning. …

… Compared to another method of recognition such as the deep learning approach, SVM was
chosen for this research because of the ease of use, less demand for computer resources, …