[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 …

Face recognition: Past, present and future (a review)

M Taskiran, N Kahraman, CE Erdem - Digital Signal Processing, 2020 - Elsevier
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 …

Audio-visual emotion recognition in video clips

F Noroozi, M Marjanovic, A Njegus… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
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 …

Resistance to facial recognition payment in China: The influence of privacy-related factors

Y Liu, W Yan, B Hu - Telecommunications Policy, 2021 - Elsevier
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 …

The dark sides of AI

X Cheng, X Lin, XL Shen, A Zarifis, J Mou - Electronic Markets, 2022 - Springer
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 …

Facial age estimation with age difference

Z Hu, Y Wen, J Wang, M Wang… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
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 …

Aging face recognition: a hierarchical learning model based on local patterns selection

Z Li, D Gong, X Li, D Tao - IEEE Transactions on Image …, 2016 - ieeexplore.ieee.org
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 …

Cross-heterogeneous-database age estimation through correlation representation learning

Q Tian, S Chen - Neurocomputing, 2017 - Elsevier
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 …

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 …

Deep-feature encoding-based discriminative model for age-invariant face recognition

MS Shakeel, KM Lam - Pattern Recognition, 2019 - Elsevier
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 …