Results 91 to 100 of about 120,140 (335)
Contrastive-center loss for deep neural networks
The deep convolutional neural network(CNN) has significantly raised the performance of image classification and face recognition. Softmax is usually used as supervision, but it only penalizes the classification loss.
Qi, Ce, Su, Fei
core +1 more source
ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi +2 more
wiley +1 more source
Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability
ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein +13 more
wiley +1 more source
Raising students' awareness of cross-cultural contrastive rhetoric in English writing via an e-learning course [PDF]
This study investigated the potential impact of e-learning on raising overseas students' cultural awareness and explored the possibility of creating an interactive learning environment for them to improve their English academic writing.
Spencer, Ken +2 more
core
Stochastic Attraction-Repulsion Embedding for Large Scale Image Localization
This paper tackles the problem of large-scale image-based localization (IBL) where the spatial location of a query image is determined by finding out the most similar reference images in a large database.
Dai, Yuchao, Li, Hongdong, Liu, Liu
core +1 more source
Gradient-guided Unsupervised Text Style Transfer via Contrastive Learning [PDF]
Chenghao Fan, Ziao Li, Wei Wei
openalex +1 more source
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu +14 more
wiley +1 more source
Course Recommendation Model Based on Layer Dropout Graph Differential Contrastive Learning
At present, the course recommendation model of graph collaborative filtering mainly uses bipartite graph modeling to obtain user-course cooperative relationship.
Yong Ouyang +3 more
doaj +1 more source
A Contrastive Analysis of English and Arabic Tenses [PDF]
The study deals with the similarities and differences of Tenses in English andArabic Tenses. The application to the language teaching and learning process.
Zainuddin, K. F. (Khalida)
core
Hodge-Aware Contrastive Learning
4 pages, 2 ...
Möllers, A. +3 more
openaire +3 more sources

