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Large language models make sample-efficient recommender systems
《Frontiers of Computer Science》2025年第4期115-117,共3页Jianghao LIN Xinyi DAI Rong SHAN Bo CHEN Ruiming TANG Yong YU Weinan ZHANG 
supported by the National Natural Science Foundation of China(Grant No.62177033).
1 Introduction Large language models(LLMs)have achieved remarkable progress in the field of natural language processing(NLP),showing impressive abilities to generate human-like texts for a broad range of tasks[1].Cons...
关键词：recommendation tasksand recommender systemsthey recommender systems large language models large language models llms recommender sy promoting sample efficiency natural language processing nlp showing 
PNSS: Unknown Face Presentation Attack Detection with Pseudo Negative Sample Synthesis
《Computers, Materials & Continua》2025年第5期3097-3112,共16页Hongyang Wang Yichen Shi Jun Feng Zitong Yu Zhuofu Tao 
supported in part by the National Natural Science Foundation of China under Grants 61972267,and 61772070;in part by the Natural Science Foundation of Hebei Province under Grant F2024210005.
Face Presentation Attack Detection(fPAD)plays a vital role in securing face recognition systems against various presentation attacks.While supervised learning-based methods demonstrate effectiveness,they are prone to ...
关键词：Face presentation attack detection pseudo negative sample anomaly detection one-class classification 
GD-YOLO:A Network with Gather and Distribution Mechanism for Infrared Image Detection of Electrical Equipment
《Computers, Materials & Continua》2025年第4期897-915,共19页Junpeng Wu Xingfan Jiang 
Science and Technology Department of Jilin Province(No.20200403075SF);Education Department of Jilin Province(No.JJKH20240148KJ).
As technologies related to power equipment fault diagnosis and infrared temperature measurement continue to advance,the classification and identification of infrared temperature measurement images have become crucial ...
关键词：Infrared image detection aggregation and distribution mechanism sample imbalance strategy lightweight structure 
Cooperative Iteration Matching Method for Aligning Samples from Heterogeneous Industrial Datasets
《Journal of Shanghai Jiaotong university(Science)》2025年第2期375-384,共10页LI Han SHI Guohong LIU Zhao ZHU Ping 
the Key National Natural Science Foundation of China(No.U1864211);the National Natural Science Foundation of China(No.11772191);the Natural Science Foundation of Shanghai(No.21ZR1431500)。
Industrial data mining usually deals with data from different sources.These heterogeneous datasets describe the same object in different views.However,samples from some of the datasets may be lost.Then the remaining s...
关键词：dynamic time warping mismatched samples sample alignment industrial data data missing 
A two-sample Mendelian randomization study on the relationship of body weight,body mass index,and waist circumference with cardiac arrest
《World Journal of Emergency Medicine》2025年第2期129-135,共7页Tingting Xu Shaokun Wang Liqiang Zhao Jiawen Wang Jihong Xing 
This study is supported by the National Natural Science Foundation of China (No. 82072127)。
BACKGROUND:This study aims to explore the causal relationship of body weight,body mass index(BMI),and waist circumference (WC) with the risk of cardiac arrest (CA) using two-sample Mendelian randomization (MR).METHODS...
关键词：Body weight Body mass index Waist circumference Cardiac arrest Mendelian randomization 
Statistical Inference for Kumaraswamy Distribution under Generalized Progressive Hybrid Censoring Scheme with Application
《Computer Modeling in Engineering & Sciences》2025年第4期185-223,共39页Magdy Nagy 
funded by Researchers Supporting Project number(RSPD2025R969),King Saud University,Riyadh,Saudi Arabia.
In this present work,we propose the expected Bayesian and hierarchical Bayesian approaches to estimate the shape parameter and hazard rate under a generalized progressive hybrid censoring scheme for the Kumaraswamy di...
关键词：Bayesian estimation E-Bayesian estimation H-Bayesian estimation generalized progressive hybrid Kumaraswamy distribution censoring sample maximum likelihood estimation 
Uncovering the Pre-Deterioration State during Disease Progression Based on Sample-Specific Causality Network Entropy(SCNE)
《Research》2025年第1期55-67,共13页Jiayuan Zhong Hui Tang Ziyi Huang Hua Chai Fei Ling Pei Chen Rui Liu 
supported by National Natural Science Foundation of China(nos.T2341022,12322119,62172164,and 12271180);Guangdong Provincial Key Laboratory of Human Digital Twin(2022B1212010004);Educational Commission of Guangdong Province of China(2023KQNCX073);the Natural Science Foundation of Guangdong Province of China(2022A-1515110759,and 2023A1515110558);Fundamental Research Funds for the Central Universities(2023ZYGXZR077).
Complex diseases do not always follow gradual progressions.Instead,they may experience sudden shifts known as critical states or tipping points,where a marked qualitative change occurs.Detecting such a pivotal transit...
关键词：critical states sample specific causality network entropy pre deterioration state complex diseases tipping points high dimensional data numerical simulations 
Semi-Supervised Medical Image Classification Based on Sample Intrinsic Similarity Using Canonical Correlation Analysis
《Computers, Materials & Continua》2025年第3期4451-4468,共18页Kun Liu Chen Bao Sidong Liu 
sponsored by the National Natural Science Foundation of China Grant No.62271302;the Shanghai Municipal Natural Science Foundation Grant 20ZR1423500.
Large amounts of labeled data are usually needed for training deep neural networks in medical image studies,particularly in medical image classification.However,in the field of semi-supervised medical image analysis,l...
关键词：Semi-supervised learning skin lesion classification sample relation consistency class imbalanced 
Rendering acceleration method based on JND and sample gradient
《Optoelectronics Letters》2025年第3期177-182,共6页ZHANG Ripei CHEN Chunyi 
supported partially by the National Natural Science Foundation of China(No.U19A2063);the Jilin Provincial Science&Technology Development Program of China(No.20230201080GX)。
Currently,the main idea of iterative rendering methods is to allocate a fixed number of samples to pixels that have not been fully rendered by calculating the completion rate.It is obvious that this strategy ignores t...
关键词：iterative rendering pixel values allocate fixed number samples completion rateit iterative rendering methods changes pixel values iterative operations completion rate 
DIEONet:Domain-Invariant Information Extraction and Optimization Network for Visual Place Recognition
《Computers, Materials & Continua》2025年第3期5019-5033,共15页Shaoqi Hou Zebang Qin Chenyu Wu Guangqiang Yin Xinzhong Wang Zhiguo Wang 
supported by the Natural Science Foundation of Xinjiang Uygur Autonomous Region under grant number 2022D01B186.
Visual Place Recognition(VPR)technology aims to use visual information to judge the location of agents,which plays an irreplaceable role in tasks such as loop closure detection and relocation.It is well known that pre...
关键词：Visual place recognition domain-invariant information mining module multi-sample joint triplet loss 
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