[HTML][HTML] How can we manage biases in artificial intelligence systems–A systematic literature review
PS Varsha - International Journal of Information Management Data …, 2023 - Elsevier
Artificial intelligence is similar to human intelligence, and robots in organisations always
perform human tasks. However, AI encounters a variety of biases during its operational …
perform human tasks. However, AI encounters a variety of biases during its operational …
Face recognition: Past, present and future (a review)
Biometric systems have the goal of measuring and analyzing the unique physical or
behavioral characteristics of an individual. The main feature of biometric systems is the use …
behavioral characteristics of an individual. The main feature of biometric systems is the use …
Audio-visual emotion recognition in video clips
This paper presents a multimodal emotion recognition system, which is based on the
analysis of audio and visual cues. From the audio channel, Mel-Frequency Cepstral …
analysis of audio and visual cues. From the audio channel, Mel-Frequency Cepstral …
Resistance to facial recognition payment in China: The influence of privacy-related factors
As mobile payment technology is at a nascent stage, the use of facial recognition payment
(FRP) services is gradually penetrating the lives of Chinese people. Although the FRP …
(FRP) services is gradually penetrating the lives of Chinese people. Although the FRP …
The dark sides of AI
This preface introduces the special issue on The Dark Sides of AI. The special issue offers
six papers that focus on challenges of AI technology. In the twenty-first century, artificial …
six papers that focus on challenges of AI technology. In the twenty-first century, artificial …
Facial age estimation with age difference
Age estimation based on the human face remains a significant problem in computer vision
and pattern recognition. In order to estimate an accurate age or age group of a facial image …
and pattern recognition. In order to estimate an accurate age or age group of a facial image …
Aging face recognition: a hierarchical learning model based on local patterns selection
Aging face recognition refers to matching the same person's faces across different ages, eg,
matching a person's older face to his (or her) younger one, which has many important …
matching a person's older face to his (or her) younger one, which has many important …
Cross-heterogeneous-database age estimation through correlation representation learning
Human age estimation is an important research topic and has found its applications in such
scenarios as commodity recommendation and security monitoring. The design of existing …
scenarios as commodity recommendation and security monitoring. The design of existing …
Automatic assessment of mitral regurgitation severity based on extensive textural features on 2D echocardiography videos
H Moghaddasi, S Nourian - Computers in biology and medicine, 2016 - Elsevier
Heart disease is the major cause of death as well as a leading cause of disability in the
developed countries. Mitral Regurgitation (MR) is a common heart disease which does not …
developed countries. Mitral Regurgitation (MR) is a common heart disease which does not …
Deep-feature encoding-based discriminative model for age-invariant face recognition
Facial aging variation is a major problem for face recognition systems due to large intra-
personal variations caused by age progression. A major challenge is to develop an efficient …
personal variations caused by age progression. A major challenge is to develop an efficient …