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TRAINING: 作品数：1328被引量：1159H指数：13; 导出分析报告; 相关领域：文化科学更多>>; 相关作者：张雁吕丹桔张令千吴保国林英更多>>; 相关机构：北京师范大学清华大学浙江师范大学华中师范大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家重点基础研究发展计划国家教育部博士点基金国家高技术研究发展计划更多>>

Alternative Modalities for Temporal Bone Training in Otolaryngology:A Systematic Review: 《Journal of Otology》2025年第2期103-109,共7页Quan Lu John Wenger Anita Jeyakumar; Objective:Critically appraise the current state of alternate temporal bone training techniques(virtual reality(VR)simulation,3D-printed models,and mental practice(MP))compared to traditional and cadaver methods.Databa...; 关键词：virtual reality virtual reality simulation 3D models CADAVER temporal bone training

Fairness is essential for robustness:fair adversarial training by identifying and augmenting hard examples: 《Frontiers of Computer Science》2025年第3期1-13,共13页Ningping MOU Xinli YUE Lingchen ZHAO Qian WANG; supported by the National Natural Science Foundation of China(Grant Nos.U20B2049,U21B2018 and 62302344).; Adversarial training has been widely considered the most effective defense against adversarial attacks.However,recent studies have demonstrated that a large discrepancy exists in the class-wise robustness of adversari...; 关键词：robust fairness adversarial training hard example data augmentation

Cyclical Training Framework with Graph Feature Optimization for Knowledge Graph Reasoning: 《Computers, Materials & Continua》2025年第5期1951-1971,共21页Xiaotong Han Yunqi Jiang Haitao Wang Yuan Tian; supported by the National Key Research and Development Program of China(No.2023YFF0905400);the National Natural Science Foundation of China(No.U2341229).; Knowledge graphs(KGs),which organize real-world knowledge in triples,often suffer from issues of incompleteness.To address this,multi-hop knowledge graph reasoning(KGR)methods have been proposed for interpretable know...; 关键词：Knowledge graph reinforcement learning TRANSFORMER

Endoscopic resection of gastrointestinal tumors: Training levels and professional roles explored: 《World Journal of Gastrointestinal Oncology》2025年第4期17-25,共9页Ahmed Tawheed Alaa Ismail Mohamed El-Kassas Amr El-Fouly Ahmad Madkour; In this editorial,we provide commentary on a recently published study by Zhao et al in the World Journal of Gastrointestinal Oncology.The study discusses the clinical characteristics of patients undergoing endoscopic ...; 关键词：Learning curve Endoluminal surgery Endoscopic submucosal dissection GASTROENTEROLOGIST SURGEONS Endoscopic mucosal resection

Improving Robustness for Tag Recommendation via Self-Paced Adversarial Metric Learning: 《Computers, Materials & Continua》2025年第3期4237-4261,共25页Zhengshun Fei Jianxin Chen Gui Chen Xinjian Xiang; supported by the Key Research and Development Program of Zhejiang Province(No.2024C01071);the Natural Science Foundation of Zhejiang Province(No.LQ15F030006).; Tag recommendation systems can significantly improve the accuracy of information retrieval by recommending relevant tag sets that align with user preferences and resource characteristics.However,metric learning method...; 关键词：Tag recommendation metric learning adversarial training self-paced adversarial training ROBUSTNESS

Integrating behavioral interventions for Tourette’s syndrome:Current status and prospective: 《World Journal of Psychiatry》2025年第3期8-12,共5页Xiao-Man Chen Shuo Zhang Michael Xu; In the evolving landscape of Tourette’s syndrome(TS)treatment,behavioral therapies have emerged as essential to address the comorbid psychological issues,as well as motor and vocal tics.This editorial comments on the...; 关键词：Tourette's syndrome TICS Behavioral therapy Habit reversal training Psychological disorders Comprehensive behavioral intervention for tics Neurodiversity

Hybrid Memory-Enhanced Autoencoder with Adversarial Training for Anomaly Detection in Virtual Power Plants: 《Computers, Materials & Continua》2025年第3期4593-4629,共37页Yuqiao Liu Chen Pan YeonJae Oh Chang Gyoon Lim; supported by“Regional Innovation Strategy(RIS)”through the National Research Foundation of Korea(NRF)funded by the Ministry of Education(MOE)(2021RIS-002);the Technology Development Program(RS-2023-00266141)funded by the Ministry of SMEs and Startups(MSS,Republic of Korea).; Virtual Power Plants(VPPs)are integral to modern energy systems,providing stability and reliability in the face of the inherent complexities and fluctuations of solar power data.Traditional anomaly detection methodolo...; 关键词：Virtual power plants(VPPs) anomaly detection memory-enhanced autoencoder adversarial training solar power

Training large-scale language models with limited GPU memory:a survey: 《Frontiers of Information Technology & Electronic Engineering》2025年第3期309-331,共23页Yu TANG Linbo QIAO Lujia YIN Peng LIANG Ao SHEN Zhilin YANG Lizhi ZHANG Dongsheng LI; Project supported by the National Natural Science Foundation of China(Nos.62025208 and 62421002)。; Large-scale models have gained significant attention in a wide range of fields,such as computer vision and natural language processing,due to their effectiveness across various applications.However,a notable hurdle in...; 关键词：Training techniques Memory optimization Model parameters Model states Model activations

The ethical security of large language models:A systematic review: 《Frontiers of Engineering Management》2025年第1期128-140,共13页Feng LIU Jiaqi JIANG Yating LU Zhanyi HUANG Jiuming JIANG; Beijing Key Laboratory of Behavior and Mental Health,Peking University,China.; The widespread application of large language models(LLMs)has highlighted new security challenges and ethical concerns,attracting significant academic and societal attention.Analysis of the security vulnerabilities of ...; 关键词：security of large language models ethical governance model defense adversarial training social impact

A Secured and Continuously Developing Methodology for Breast Cancer Image Segmentation via U-Net Based Architecture and Distributed Data Training: 《Computer Modeling in Engineering & Sciences》2025年第3期2617-2640,共24页Rifat Sarker Aoyon Ismail Hossain M.Abdullah-Al-Wadud Jia Uddin; the Researchers Supporting Project,King Saud University,Saudi Arabia,for funding this research work through Project No.RSPD2025R951.; This research introduces a unique approach to segmenting breast cancer images using a U-Net-based architecture.However,the computational demand for image processing is very high.Therefore,we have conducted this resear...; 关键词：Breast cancer U-Net distributed training data privacy low-powerful machines

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