期刊： IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2021; 12 (3)
Video-based dimensional emotion recognition aims to map human affect into the dimensional emotion space based on visual signals, which is a fundamenta......
期刊： IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2021; 12 (2)
In this paper, we propose a novel neural network model, called bi-hemisphere domain adversarial neural network (BiDANN) model, for electroencephalogra......
期刊： IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2021; 12 (3)
Autism spectrum disorder (ASD) is accompanied with impaired social-emotional functioning, such as emotional regulation and recognition, communication,......
期刊： IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2021; 12 (2)
Different subjects may express a specific expression in different ways due to inter-subject variabilities. In this work, besides training deep-learned......
期刊： IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2021; 12 (3)
This work takes the lead to study the aspect-level sentiment classification in the domain adaptation scenario. Given a document of any domains, the mo......
期刊： IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2021; 12 (1)
How to efficiently tag the emotional experience of multimedia contents is an important and challenging problem in the field of affective computing. Th......
期刊： IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2021; 12 (1)
Micro-expressions are the rapid movements of facial muscles that can be used to reveal concealed emotions. Recognizing them from video clips has a wid......
期刊： IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2021; 12 (1)
At present, although great progress has been made in automatic depression assessment, most of the recent works only concern the audio and video parali......
期刊： IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2021; 12 (1)
Computational prediction of facial aesthetics has attracted ever-increasing research focus, which has wide range of prospects in multimedia applicatio......
期刊： IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2020; 11 (2)
Facial expressions are a strong visual intimation of gestural behaviors. The intelligent ability to learn these non-verbal cues of the humans is the k......
期刊： IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2020; 11 (3)
Recent evidence in mental health assessment have demonstrated that facial appearance could be highly indicative of depressive disorder. While previous......
期刊： IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2020; 11 (3)
In this paper, a multichannel EEG emotion recognition method based on a novel dynamical graph convolutional neural networks (DGCNN) is proposed. The b......
期刊： IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2020; 11 (3)
Linguistic modifiers such as negators (e.g., not), intensifiers (e.g., very) and modals (e.g., would) are commonly used in expressing opinions. These ......
期刊： IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2020; 11 (3)
Depression, threatening the well-being of millions, has become one of the major diseases in the past decade. However, the current method of diagnosing......
期刊： IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2020; 11 (3)
Cross-corpus speech emotion recognition has recently received considerable attention due to the widespread existence of various emotional speech. It t......
