A systematic mapping study on research contributions on UX evaluation technologies
User eXperience (UX) refers to quality attributes related to the feelings and emotions of the
users. In order to evaluate UX, several technologies (tools, methods, techniques, others) …
users. In order to evaluate UX, several technologies (tools, methods, techniques, others) …
Highly automated job interviews: Acceptance under the influence of stakes
Technological advancements allow the automation of every part of job interviews
(information acquisition, information analysis, action selection, action implementation) …
(information acquisition, information analysis, action selection, action implementation) …
Facial expression recognition with trade-offs between data augmentation and deep learning features
A novel facial expression recognition system has been proposed in this paper. The objective
of this paper is to recognize the types of expressions in the human face region. The …
of this paper is to recognize the types of expressions in the human face region. The …
A unified framework of deep learning-based facial expression recognition system for diversified applications
This work proposes a facial expression recognition system for a diversified field of
applications. The purpose of the proposed system is to predict the type of expressions in a …
applications. The purpose of the proposed system is to predict the type of expressions in a …
Deep generative image priors for semantic face manipulation
Previous works on generative adversarial networks (GANs) mainly focus on how to
synthesize high-fidelity images. In this paper, we present a framework to leverage the …
synthesize high-fidelity images. In this paper, we present a framework to leverage the …
Kernel ELM and CNN based facial age estimation
We propose a two-level system for apparent age estimation from facial images. Our system
first classifies samples into overlapping age groups. Within each group, the apparent age is …
first classifies samples into overlapping age groups. Within each group, the apparent age is …
Registration-free Face-SSD: Single shot analysis of smiles, facial attributes, and affect in the wild
In this paper, we present a novel single shot face-related task analysis method, called Face-
SSD, for detecting faces and for performing various face-related (classification/regression) …
SSD, for detecting faces and for performing various face-related (classification/regression) …
Person-independent facial expression recognition based on the fusion of HOG descriptor and cuttlefish algorithm
This paper proposes an efficient approach for person-independent facial expression
recognition based on the fusion of Histogram of Oriented Gradients (HOG) descriptor and …
recognition based on the fusion of Histogram of Oriented Gradients (HOG) descriptor and …
Smile detection in the wild with deep convolutional neural networks
Smile or happiness is one of the most universal facial expressions in our daily life. Smile
detection in the wild is an important and challenging problem, which has attracted a growing …
detection in the wild is an important and challenging problem, which has attracted a growing …
Support vector machines and affective science
CH Miller, MD Sacchet, IH Gotlib - Emotion Review, 2020 - journals.sagepub.com
Support vector machines (SVMs) are being used increasingly in affective science as a data-
driven classification method and feature reduction technique. Whereas traditional statistical …
driven classification method and feature reduction technique. Whereas traditional statistical …