Abstract Facial expression recognition (FER) is utilized in various fields that analyze facial expressions. FER attracting increasing attention for its role improving the convenience human life. It widely applied human–computer interaction tasks. However, recently, tasks have encountered certain data and training issues. To address these issues FER, few-shot learning (FSL) has been researched a...

There has been a substantial amount of research involving computer methods and technology for the detection recognition diabetic foot ulcers (DFUs), but there is lack systematic comparisons state-of-the-art deep learning object frameworks applied to this problem. DFUC2020 provided participants with comprehensive dataset consisting 2,000 images training testing. This paper summarises results by ...

Ant colony optimization is a metaheuristic that mainly used for solving hard combinatorial problems. The distinctive feature of ant learning mechanism based on from positive examples. This also the case in other learning-based metaheuristics such as evolutionary algorithms and particle swarm optimization. Examples nature, however, indicate negative learning—in addition to learning—can beneficia...

Anomalies represent rare observations (e.g., data records or events) that deviate significantly from others. Over several decades, research on anomaly mining has received increasing interests due to the implications of these occurrences in a wide range disciplines. Anomaly detection, which aims identify observations, is among most vital tasks world, and shown its power preventing detrimental ev...

In recent years, author gender identification is an important yet challenging task in the fields of information retrieval and computational linguistics. this paper, different learning approaches are presented to address problem for Turkish articles. First, several classification algorithms applied list representations based on paradigms: fixed-length vector such as Stylometric Features (SF), Ba...

This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory. Students will find the book both stimulating and...