Facial emotion recognition (FER) is an important and develo** topic of research in the
field of pattern recognition. The effective application of facial emotion analysis is gaining …

Facial expressions of emotion are a major channel in our daily communications, and it has
been subject of intense research in recent years. To automatically infer facial expressions …

Facial expression recognition (FER) on real world databases is an active and challenging
research topic. Existing CNN-based facial expression classifiers usually have good …

Artificial neural networks have been one of the science's most influential and essential
branches in the past decades. Neural networks have found applications in various fields …

Existing deep learning methods for facial emotion recognition only focus on optimizing
network structures, utilizing fixed receptive fields for different images, and relying on feature …

The analysis of facial expression is a very complex and challenging problem. Most
researches for automated Facial Expression Recognition (FER) are mainly based on deep …

With the rapid development of deep learning, emotion recognition from facial expressions
has also greatly improved, but there are still limitations in terms of reliability when applied to …

Abstract Subject of Research. The imbalance of classes in datasets has a negative impact
on machine classification systems used in applications of artificial intelligence, such as …

La detección y reconocimiento de rostros con alta precisión es uno de los aspectos más
importante en el desarrollo e implementación de sistemas de seguridad biométricos …

Artificial neural networks are one of the most influential and important branches of science in
the past decades, which have been used in a wide range of applications such as medical …