Evaluating binary classifications is a pivotal task in statistics and machine learning, because
it can influence decisions in multiple areas, including for example prognosis or therapies of …

Automatic facial expression recognition (FER) has gained much attention due to its
applications in human-computer interaction. Among the approaches to improve FER tasks …

Recently, facial-expression recognition (FER) has primarily focused on images in the wild,
including factors such as face occlusion and image blurring, rather than laboratory images …

This paper presents an accurate and robust real-time FER system. In this system, an
unsupervised technique based on active contour (AC) model is adopted in order to detect …

Non-negative Matrix Factorization (NMF) is a part-based image representation method. It
comes from the intuitive idea that entire face image can be constructed by combining several …

Human facial expressions play a crucial role in communication and enhancing interactions
between humans and computers. This paper presents a novel approach for facial …

Conventional facial expression recognition (FER) methods often assume that the training
and test procedures are carried out on a single database, without considering the cross …

Facial expression recognition is an important research issue in the pattern recognition field.
In this paper, we intend to present an accurate facial expression recognition (FER) system …

Abstract Facial Expression Recognition (FER) faces significant challenges, primarily due to
significant variations within classes and subtle visual differences between classes, and …

The aim of the analytical work was to identify problems with emotion recognition from video
recordings of the faces of children on the autism spectrum during interaction with a social …