Results 81 to 90 of about 394,166 (277)
Impact of Childhood Maltreatment on the Recognition of Facial Expressions of Emotions.
PLoS ONE, 2015 The development of the explicit recognition of facial expressions of emotions can be affected by childhood maltreatment experiences. A previous study demonstrated the existence of an explicit recognition bias for angry facial expressions among a ...
Martina Ardizzi +5 more
doaj +1 more source
Facial emotion recognition: spanish psychometric validation of a NIMSTIM stimuli subset. [PDF]
, 2019 Treball Final de Grau en Psicologia. Codi: PS1048. Curs: 2018/2019.Facial expressions are used to guide us and make us to understand the experiences that others have towards us, and also to lead our behavior in an adaptive way. Facial expressions have a
Bayarri Guerrero, Carlos
core
Molecular Oncology, EarlyView.AZD9291 has shown promise in targeted cancer therapy but is limited by resistance. In this study, we employed metabolic labeling and LC–MS/MS to profile time‐resolved nascent protein perturbations, allowing dynamic tracking of drug‐responsive proteins. We demonstrated that increased NNMT expression is associated with drug resistance, highlighting NNMT ...
Zhanwu Hou +5 more
wiley +1 more source
Miners' facial expression recognition method based on convolutional neural network
Gong-kuang zidonghua, 2018 In view of problems of low recognition rate and complex algorithm of traditional miner's facial expression recognition methods, based on convolutional neural network and combining with nonlinear mapping function in support vector machine algorithm, a ...
DU Yun, ZHANG Lulu, PAN Tao
doaj +1 more source
International Journal of Advanced ResearchFacial Expression Recognition is a system which provides an interface for computer and human interaction. With the advancement of technology and need of the hour such systems have earned the interest of researchers in psychology, medicine, computer science and similar other fields as its applications are identified in such fields.
Shivam Mehra +3 more
openaire +1 more source
, 2015 We present techniques for improving performance driven facial animation, emotion recognition, and facial key-point or landmark prediction using learned identity invariant representations.
Hasan, Md Kamrul +3 more
core +1 more source
Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology
Molecular Oncology, EarlyView.Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts +8 more
wiley +1 more source
MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes
, 2016 Attribute recognition, particularly facial, extracts many labels for each image. While some multi-task vision problems can be decomposed into separate tasks and stages, e.g., training independent models for each task, for a growing set of problems joint ...
A Dutta +8 more
core +1 more source
YAP1::TFE3 mediates endothelial‐to‐mesenchymal plasticity in epithelioid hemangioendothelioma
Molecular Oncology, EarlyView.The YAP1::TFE3 fusion protein drives endothelial‐to‐mesenchymal transition (EndMT) plasticity, resulting in the loss of endothelial characteristics and gain of mesenchymal‐like properties, including resistance to anoikis, increased migratory capacity, and loss of contact growth inhibition in endothelial cells.
Ant Murphy +9 more
wiley +1 more source
Facial identity recognition using StyleGAN3 inversion and improved tiny YOLOv7 model
Scientific ReportsFacial identity recognition is one of the challenging problems in the domain of computer vision. Facial identity comprises the facial attributes of a person’s face ranging from age progression, gender, hairstyle, etc.
Akhil Kumar +3 more
doaj +1 more source