Facial emotion recognition using transfer learning in the deep CNN
Human facial emotion recognition (FER) has attracted the attention of the research
community for its promising applications. Mapping different facial expressions to the …
community for its promising applications. Mapping different facial expressions to the …
[HTML][HTML] Sentiment analysis on images using convolutional neural networks based Inception-V3 transfer learning approach
Sentiment analysis has become a precious tool for businesses because it can be used in so
many ways: to find out what customers think about products and services, to build customer …
many ways: to find out what customers think about products and services, to build customer …
A Comprehensive Review of DeepFake Detection Using Advanced Machine Learning and Fusion Methods
Recent advances in Generative Artificial Intelligence (AI) have increased the possibility of
generating hyper-realistic DeepFake videos or images to cause serious harm to vulnerable …
generating hyper-realistic DeepFake videos or images to cause serious harm to vulnerable …
Synthetic tabular data evaluation in the health domain covering resemblance, utility, and privacy dimensions
Background Synthetic tabular data generation is a potentially valuable technology with great
promise for data augmentation and privacy preservation. However, prior to adoption, an …
promise for data augmentation and privacy preservation. However, prior to adoption, an …
The additive input-doubling method based on the SVR with nonlinear kernels: Small data approach
The problem of effective intellectual analysis in the case of handling short datasets is topical
in various application areas. Such problems arise in medicine, economics, materials …
in various application areas. Such problems arise in medicine, economics, materials …
Multitask multi-database emotion recognition
MT Vu, M Beurton-Aimar… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
This work has been initiated for the 2nd Affective Behavior Analysis in-the-wild (ABAW 2021)
competition. We train a unified deep learning model on multi-databases to perform two …
competition. We train a unified deep learning model on multi-databases to perform two …
Incorporation of synthetic data generation techniques within a controlled data processing workflow in the health and wellbeing domain
M Hernandez, G Epelde, A Beristain, R Álvarez… - Electronics, 2022 - mdpi.com
To date, the use of synthetic data generation techniques in the health and wellbeing domain
has been mainly limited to research activities. Although several open source and …
has been mainly limited to research activities. Although several open source and …
Real-time facial expression recognition using deep learning with application in the active classroom environment
D Dukić, A Sovic Krzic - Electronics, 2022 - mdpi.com
The quality of a teaching method used in a classroom can be assessed by observing the
facial expressions of students. To automate this, Facial Expression Recognition (FER) can …
facial expressions of students. To automate this, Facial Expression Recognition (FER) can …
A novel facial expression recognition algorithm using geometry β–skeleton in fusion based on deep CNN
Facial expression recognition (FER) methods based on single-source facial data often suffer
from reduced accuracy or unpredictability due to facial occlusion or illumination changes. To …
from reduced accuracy or unpredictability due to facial occlusion or illumination changes. To …
An automatic improved facial expression recognition for masked faces
Automatic facial expression recognition (AFER), sometimes referred to as emotional
recognition, is important for socializing. Automatic methods in the past two years faced …
recognition, is important for socializing. Automatic methods in the past two years faced …