Facial emotion recognition using deep learning: review and insights
W Mellouk, W Handouzi - Procedia Computer Science, 2020 - Elsevier
Automatic emotion recognition based on facial expression is an interesting research field,
which has presented and applied in several areas such as safety, health and in human …
which has presented and applied in several areas such as safety, health and in human …
Emotion recognition from unimodal to multimodal analysis: A review
K Ezzameli, H Mahersia - Information Fusion, 2023 - Elsevier
The omnipresence of numerous information sources in our daily life brings up new
alternatives for emotion recognition in several domains including e-health, e-learning …
alternatives for emotion recognition in several domains including e-health, e-learning …
The influence of the activation function in a convolution neural network model of facial expression recognition
Y Wang, Y Li, Y Song, X Rong - Applied Sciences, 2020 - mdpi.com
The convolutional neural network (CNN) has been widely used in image recognition field
due to its good performance. This paper proposes a facial expression recognition method …
due to its good performance. This paper proposes a facial expression recognition method …
Facial expression recognition with grid-wise attention and visual transformer
Abstract Facial Expression Recognition (FER) has achieved remarkable progress as a result
of using Convolutional Neural N etworks (CNN). Relying on the spatial locality …
of using Convolutional Neural N etworks (CNN). Relying on the spatial locality …
[HTML][HTML] A comprehensive survey on deep facial expression recognition: challenges, applications, and future guidelines
Facial expression recognition (FER) is an emerging and multifaceted research topic.
Applications of FER in healthcare, security, safe driving, and so forth have contributed to the …
Applications of FER in healthcare, security, safe driving, and so forth have contributed to the …
Unsupervised deep learning approach for network intrusion detection combining convolutional autoencoder and one-class SVM
A Binbusayyis, T Vaiyapuri - Applied Intelligence, 2021 - Springer
With the rapid advancement in network technologies, the need for cybersecurity has gained
increasing momentum in recent years. As a primary defense mechanism, an intrusion …
increasing momentum in recent years. As a primary defense mechanism, an intrusion …
Segmentation and classification on chest radiography: a systematic survey
Chest radiography (X-ray) is the most common diagnostic method for pulmonary disorders.
A trained radiologist is required for interpreting the radiographs. But sometimes, even …
A trained radiologist is required for interpreting the radiographs. But sometimes, even …
[Retracted] Emotion Recognition of Students Based on Facial Expressions in Online Education Based on the Perspective of Computer Simulation
W Wang, K Xu, H Niu, X Miao - Complexity, 2020 - Wiley Online Library
Online education has developed rapidly due to its irreplaceable convenience. Under the
severe circumstances caused by COVID‐19 recently, many schools around the world have …
severe circumstances caused by COVID‐19 recently, many schools around the world have …
Identifying emotions from facial expressions using a deep convolutional neural network-based approach
Sentiment identification on facial expression is an interesting study domain with applications
in various disciplines, including security, health, and human-machine interfaces. The main …
in various disciplines, including security, health, and human-machine interfaces. The main …
[PDF][PDF] Facial expression recognition based on deep learning convolution neural network: A review
SMS Abdullah, AM Abdulazeez - Journal of Soft Computing …, 2021 - publisher.uthm.edu.my
Facial emotional processing is one of the most important activities in effective calculations,
engagement with people and computers, machine vision, video game testing, and consumer …
engagement with people and computers, machine vision, video game testing, and consumer …