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 …
Video-based facial micro-expression analysis: A survey of datasets, features and algorithms
Unlike the conventional facial expressions, micro-expressions are involuntary and transient
facial expressions capable of revealing the genuine emotions that people attempt to hide …
facial expressions capable of revealing the genuine emotions that people attempt to hide …
EEG emotion recognition using dynamical graph convolutional neural networks
In this paper, a multichannel EEG emotion recognition method based on a novel dynamical
graph convolutional neural networks (DGCNN) is proposed. The basic idea of the proposed …
graph convolutional neural networks (DGCNN) is proposed. The basic idea of the proposed …
A novel deep-learning model for automatic detection and classification of breast cancer using the transfer-learning technique
Breast cancer (BC) is one of the primary causes of cancer death among women. Early
detection of BC allows patients to receive appropriate treatment, thus increasing the …
detection of BC allows patients to receive appropriate treatment, thus increasing the …
CAS(ME)3: A Third Generation Facial Spontaneous Micro-Expression Database With Depth Information and High Ecological Validity
Micro-expression (ME) is a significant non-verbal communication clue that reveals one
person's genuine emotional state. The development of micro-expression analysis (MEA) has …
person's genuine emotional state. The development of micro-expression analysis (MEA) has …
Automated emotion recognition: Current trends and future perspectives
Background Human emotions greatly affect the actions of a person. The automated emotion
recognition has applications in multiple domains such as health care, e-learning …
recognition has applications in multiple domains such as health care, e-learning …
Samm: A spontaneous micro-facial movement dataset
Micro-facial expressions are spontaneous, involuntary movements of the face when a
person experiences an emotion but attempts to hide their facial expression, most likely in a …
person experiences an emotion but attempts to hide their facial expression, most likely in a …
Boosted kernel search: Framework, analysis and case studies on the economic emission dispatch problem
R Dong, H Chen, AA Heidari, H Turabieh… - Knowledge-Based …, 2021 - Elsevier
In recent years, a variety of meta-heuristic nature-inspired algorithms have been proposed to
solve complex optimization problems. However, these algorithms suffer from the …
solve complex optimization problems. However, these algorithms suffer from the …
Boosting slime mould algorithm for parameter identification of photovoltaic models
Y Liu, AA Heidari, X Ye, G Liang, H Chen, C He - Energy, 2021 - Elsevier
Estimating the photovoltaic model's unknown parameters efficiently and accurately can
determine the solar cell's efficacy in converting the solar energy into electricity. For this …
determine the solar cell's efficacy in converting the solar energy into electricity. For this …
Spatiotemporal recurrent convolutional networks for recognizing spontaneous micro-expressions
Recently, the recognition task of spontaneous facial micro-expressions has attracted much
attention with its various real-world applications. Plenty of handcrafted or learned features …
attention with its various real-world applications. Plenty of handcrafted or learned features …