Results 181 to 190 of about 215,342 (268)
Fast Adversarial Training against Textual Adversarial Attacks
Many adversarial defense methods have been proposed to enhance the adversarial robustness of natural language processing models. However, most of them introduce additional pre-set linguistic knowledge and assume that the synonym candidates used by attackers are accessible, which is an ideal assumption.
Yang, Yichen, Liu, Xin, He, Kun
openaire +1 more source
Health Care Science, EarlyView.Heart Rate Variability Estimation from Camera Videos ABSTRACT Background Studies have shown that heart rate variability (HRV) is a predictor of the prognosis of cardiovascular diseases. Contact heartbeat monitoring equipment is widely used, especially in hospitals, and benefits from the rapidity and accuracy of the detection of physiological health ...
Lan Lan +8 more
wiley +1 more source
A multi-layered defense against adversarial attacks in brain tumor classification using ensemble adversarial training and feature squeezing. [PDF]
Sci RepYinusa A, Faezipour M.
europepmc +1 more source
Facial expression recognition for emotion perception: A comprehensive science mapping
Ibrain, EarlyView.Facial expression recognition (FER) has emerged as a pivotal interdisciplinary research domain, bridging computer science, psychology, neuroscience, and medicine. By mapping the FER scientific knowledge graph, the study aimed to explore the technological evolution and forecast future application trends in this field.
Hou‐Ming Kan +10 more
wiley +1 more source
A SAR Ship Detection Method Based on Adversarial Training. [PDF]
Sensors (Basel)Li J, Yu Z, Chen J, Jiang H.
europepmc +1 more source
Interdisciplinary Medicine, EarlyView.Organoids and organ‐on‐a‐chips are advancing reproductive system research. In the female reproductive system, applications include cancer organoid models, placental chips, and hormone simulation models. For the male reproductive system, research focuses on drug resistance mechanisms, co‐culture platforms, and infertility studies. These refined in vitro
Hongqi Zhang +6 more
wiley +1 more source
Chinese Named Entity Recognition for Automobile Fault Texts Based on External Context Retrieving and Adversarial Training. [PDF]
Entropy (Basel)Wang S, Sun L.
europepmc +1 more source
Exploring a Novel Conv‐Transformer Network for Multi‐Modality Heart Segmentation
iRADIOLOGY, EarlyView.We propose SFAM‐TransUnet for multimodality whole heart segmentation, a novel deep learning framework combining CNNs and transformers. Extensive experiments conducted on the clinical Multi‐Modality Whole Heart Segmentation datasets demonstrate that SFAM‐TransUnet outperforms various alternative methods.
Youyou Ding +6 more
wiley +1 more source
Adversarial Training Based Domain Adaptation of Skin Cancer Images. [PDF]
Life (Basel)Gilani SQ +4 more
europepmc +1 more source
Virtual Magnetic Resonance Elastography Using a Deep Generative Model for Liver Fibrosis Staging
iRADIOLOGY, EarlyView.The proposed Registration‐based Generative Adversarial Network‐Convolutional Block Attention Module (RegGAN‐CBAM) model efficiently and reliably generates virtual MR elastography using diffusion weighted imaging. Strong correlation between virtual and native MR elastography for liver stiffness and viscosity are observed.
Longyu Sun +9 more
wiley +1 more source