A systematic review on affective computing: Emotion models, databases, and recent advances
Affective computing conjoins the research topics of emotion recognition and sentiment
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …
Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review
In recent years, the rapid advances in machine learning (ML) and information fusion has
made it possible to endow machines/computers with the ability of emotion understanding …
made it possible to endow machines/computers with the ability of emotion understanding …
Self-Acceptance Study in the Korean Drama Series Our Beloved Summer (Intrinsic Analysis of the Main Character's Character)
Q Yurizka, MB Simanjuntak… - Prosiding …, 2022 - e-proceedings.iain-palangkaraya.ac …
Self-acceptance can make you feel happier and not worry about going through everyday life
because you can adapt to the environment so that the potential that exists in a person can …
because you can adapt to the environment so that the potential that exists in a person can …
[图书][B] The atlas of AI: Power, politics, and the planetary costs of artificial intelligence
K Crawford - 2021 - books.google.com
The hidden costs of artificial intelligence, from natural resources and labor to privacy and
freedom What happens when artificial intelligence saturates political life and depletes the …
freedom What happens when artificial intelligence saturates political life and depletes the …
Deep facial expression recognition: A survey
With the transition of facial expression recognition (FER) from laboratory-controlled to
challenging in-the-wild conditions and the recent success of deep learning techniques in …
challenging in-the-wild conditions and the recent success of deep learning techniques in …
Leveraging recent advances in deep learning for audio-visual emotion recognition
L Schoneveld, A Othmani, H Abdelkawy - Pattern Recognition Letters, 2021 - Elsevier
Emotional expressions are the behaviors that communicate our emotional state or attitude to
others. They are expressed through verbal and non-verbal communication. Complex human …
others. They are expressed through verbal and non-verbal communication. Complex human …
Deep learning to detect Alzheimer's disease from neuroimaging: A systematic literature review
Alzheimer's Disease (AD) is one of the leading causes of death in developed countries.
From a research point of view, impressive results have been reported using computer-aided …
From a research point of view, impressive results have been reported using computer-aided …
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 …
Deep learning for depression recognition with audiovisual cues: A review
With the acceleration of the pace of work and life, people are facing more and more
pressure, which increases the probability of suffering from depression. However, many …
pressure, which increases the probability of suffering from depression. However, many …
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 …