Artificial intelligence in cancer target identification and drug discovery

Y You, X Lai, Y Pan, H Zheng, J Vera, S Liu… - … and Targeted Therapy, 2022 - nature.com
Artificial intelligence is an advanced method to identify novel anticancer targets and discover
novel drugs from biology networks because the networks can effectively preserve and …

Face image quality assessment: A literature survey

T Schlett, C Rathgeb, O Henniger, J Galbally… - ACM Computing …, 2022 - dl.acm.org
The performance of face analysis and recognition systems depends on the quality of the
acquired face data, which is influenced by numerous factors. Automatically assessing the …

Deepfakes and beyond: A survey of face manipulation and fake detection

R Tolosana, R Vera-Rodriguez, J Fierrez, A Morales… - Information …, 2020 - Elsevier
The free access to large-scale public databases, together with the fast progress of deep
learning techniques, in particular Generative Adversarial Networks, have led to the …

A comprehensive study on face recognition biases beyond demographics

P Terhörst, JN Kolf, M Huber… - … on Technology and …, 2021 - ieeexplore.ieee.org
Face recognition (FR) systems have a growing effect on critical decision-making processes.
Recent works have shown that FR solutions show strong performance differences based on …

[HTML][HTML] A survey of identity recognition via data fusion and feature learning

Z Qin, P Zhao, T Zhuang, F Deng, Y Ding, D Chen - Information Fusion, 2023 - Elsevier
With the rapid development of the Mobile Internet and the Industrial Internet of Things, a
variety of applications put forward an urgent demand for user and device identity …

[HTML][HTML] DeepFakes detection across generations: Analysis of facial regions, fusion, and performance evaluation

R Tolosana, S Romero-Tapiador… - … Applications of Artificial …, 2022 - Elsevier
Media forensics has attracted a tremendous attention in the last years in part due to the
increasing concerns around DeepFakes. Since the release of the initial DeepFakes …

Continuous multimodal biometric authentication schemes: a systematic review

R Ryu, S Yeom, SH Kim, D Herbert - IEEE Access, 2021 - ieeexplore.ieee.org
Building safeguards against illegitimate access and authentication is a cornerstone for
securing systems. Existing user authentication schemes suffer from challenges in detecting …

A review of state-of-the-art in Face Presentation Attack Detection: From early development to advanced deep learning and multi-modal fusion methods

F Abdullakutty, E Elyan, P Johnston - Information fusion, 2021 - Elsevier
Face Recognition is considered one of the most common biometric solutions these days and
is widely used across a range of devices for various security purposes. The performance of …

Biometric quality: Review and application to face recognition with faceqnet

J Hernandez-Ortega, J Galbally, J Fiérrez… - arXiv preprint arXiv …, 2020 - arxiv.org
" The output of a computerised system can only be as accurate as the information entered
into it." This rather trivial statement is the basis behind one of the driving concepts in …

A dataset and benchmark for multimodal biometric recognition based on fingerprint and finger vein

H Ren, L Sun, J Guo, C Han - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Compared with single biometric recognition, multimodal biometric recognition based on
fingerprint and finger vein has been widely considered because of its convenient sample …