Breast cancer is one of the most common invading cancers in women. Analyzing breast
cancer is nontrivial and may lead to disagreements among experts. Although deep learning …

In this work, a method for automatic hyper-parameter tuning of the stacked asymmetric auto-
encoder is proposed. In previous work, the deep learning ability to extract personality …

This paper presents a comprehensive review of deep learning methods for the Big Five
personality traits prediction using multi-task classification. The purpose of the review is to …

Numerous tasks that were either too complex to hardcode or even regarded as impossible
can now be performed because of advancements in machine learning and deep learning …

The text-to-image task, a critical branch of computer vision and image processing, has
witnessed remarkable advancements fueled by the abundance of realistic data and rapid AI …

To the best of our knowledge, this article presents the first experiments on speech-based
Automatic Personality Perception performed in a virtual immersive audio environment. The …

Holistic perception of affective attributes is an important human perceptual ability. However,
this ability is far from being realized in current affective computing, as not all of the attributes …

The personality in the present world plays a critical role in social interactions, the use of
modern technologies, and individuals' success. Therefore, in the last two decades, the study …

Breast cancer is one of the most common invading cancers in women. Analyzing breast
cancer is nontrivial and may lead to disagreements among experts. Although deep learning …

In this chapter, we will discuss the variational autoencoder, a very prominent modern
probabilistic model, using a variety of concepts we have learnt in class. Latent …