云南高校图书馆联盟文献共享服务平台- CROWDS

CROWDS: 作品数：36被引量：41H指数：4; 导出分析报告; 相关领域：自动化与计算机技术更多>>; 相关作者：王伟平吴云霞杨路明宋虹段桂华更多>>; 相关机构：中南大学北京邮电大学江西师范大学西安电子科技大学更多>>; 相关期刊：《英语沙龙（原版阅读）》《软件》《Journal of Behavioral and Brain Science》《系统仿真学报》更多>>; 相关基金：国家自然科学基金教育部“新世纪优秀人才支持计划”上海市自然科学基金天津市应用基础与前沿技术研究计划更多>>

KD-Crowd:a knowledge distillation framework for learning from crowds: 《Frontiers of Computer Science》2025年第1期119-130,共12页Shaoyuan LI Yuxiang ZHENG Ye SHI Shengjun HUANG Songcan CHEN; supported by the National Key R&D Program of China(2022ZD0114801);the National Natural Science Foundation of China(Grant No.61906089);the Jiangsu Province Basic Research Program(BK20190408).; Recently, crowdsourcing has established itself as an efficient labeling solution by distributing tasks to crowd workers. As the workers can make mistakes with diverse expertise, one core learning task is to estimate e...; 关键词：crowdsourcing label noise worker expertise knowledge distillation robust learning

Classification-oriented dawid skene model for transferring intelligence from crowds to machines: 《Frontiers of Computer Science》2023年第5期53-66,共14页Jiaran LI Richong ZHANG Samuel MENSAH Wenyi QIN Chunming HU; supported in part by the National Key R&D Program of China(2021ZD0110700);in part by the Fundamental Research Funds for the Central Universities,in part by the State Key Laboratory of Software Development Environment;in part by a Leverhulme Trust Research Project Grant.; When a crowdsourcing approach is used to assist the classification of a set of items,the main objective is to classify this set of items by aggregating the worker-provided labels.A secondary objective is to assess the...; 关键词：crowdsourcing information aggregation lear-ning from crowds

Learning from crowds with robust support vector machines被引量：5: 《Science China(Information Sciences)》2023年第3期129-145,共17页Wenjun YANG Chaoqun LI Liangxiao JIANG; supported by National Natural Science Foundation of China(Grant No.U1711267);Fundamental Research Funds for the Central Universities(Grant No.CUGGC03).; Crowdsourcing system provides an easy way to obtain labeled training data.However,the labels provided by non-expert labelers often appear low quality.So in practice,each sample usually obtains a multiple label set fro...; 关键词：crowdsourcing learning ground truth inference integrated labels label noise robust support vector machines

Knowledge Learning With Crowdsourcing:A Brief Review and Systematic Perspective被引量：3: 《IEEE/CAA Journal of Automatica Sinica》2022年第5期749-762,共14页Jing Zhang; supported by the National Key Research and Development Program of China(2018AAA0102002);the National Natural Science Foundation of China(62076130,91846104).; Big data have the characteristics of enormous volume,high velocity,diversity,value-sparsity,and uncertainty,which lead the knowledge learning from them full of challenges.With the emergence of crowdsourcing,versatile ...; 关键词：Crowdsourcing data fusion learning from crowds learning paradigms learning with uncertainty

A Novel Cultural Crowd Model Toward Cognitive Artificial Intelligence: 《Computers, Materials & Continua》2021年第12期3337-3363,共27页Fatmah Abdulrahman Baothman Osama Ahmed Abulnaja Fatima Jafar Muhdher; This project is funded by the Deanship of Scientific research(DSR),King Abdulaziz University,Jeddah,under Grant No.(DF-593-165-1441).Therefore,the authors gratefully acknowledge the technical and financial support of the DSR.; Existing literature shows cultural crowd management has unforeseen issues due to four dynamic elements;time,capacity,speed,and culture.Crosscultural variations are increasing the complexity level because each mass and...; 关键词：Cultural crowds learning model artificial neural network hHofstede cultural dimensions predicting group behaviors crowd management

Deep Trajectory Classification Model for Congestion Detection in Human Crowds: 《Computers, Materials & Continua》2021年第7期705-725,共21页Emad Felemban Sultan Daud Khan Atif Naseer Faizan Ur Rehman Saleh Basalamah; supported by the Ministry of Education in Saudi Arabia(Grant Number 0909).; In high-density gatherings,crowd disasters frequently occur despite all the safety measures.Timely detection of congestion in human crowds using automated analysis of video footage can prevent crowd disasters.Recent w...; 关键词：Crowd congestion TRAJECTORY CLASSIFICATION crowd analysis

Regulation of microtubule array in its self-organized dense active crowds: 《Chinese Physics B》2020年第7期62-68,共7页Xin-Chen Jiang Yu-Qiang Ma Xiaqing Shi; Project supported by the National Natural Science Foundation of China(Grant Nos.11474155,11774147,11674236,and 11922506)。; Microtubule self-organization under mechanical and chemical regulations plays a central role in cytokinesis and cel-lular transportations.In plant-cells,the patterns or phases of cortical microtubules organizations ar...; 关键词：microtubule array nematic order zippering microtubule growth

Crowdsourced Sampling of a Composite Random Variable: Analysis, Simulation, and Experimental Test被引量：2: 《Open Journal of Statistics》2019年第4期494-529,共36页M. P. Silverman; A composite random variable is a product (or sum of products) of statistically distributed quantities. Such a variable can represent the solution to a multi-factor quantitative problem submitted to a large, diverse, i...; 关键词：Crowdsourcing COMPUTER Modeling of CROWDS MONTE Carlo SIMULATION LARGE-SCALE Sampling Log-Normal RANDOM Variable Log-Normal Distribution

一种带隐私保护的基于标签的推荐算法研究被引量：4: 《计算机科学》2017年第8期134-139,共6页曹春萍徐帮兵; 国家自然科学基金项目(61202376);上海市自然科学基金(15ZR1429100)资助; 在基于标签的推荐中,标签起着联系用户和信息资源的作用。但由于存在语义特性,相较于评分数据,标签数据在一定程度上更能够直接反映用户喜好,隐私问题更为突出。推荐服务器收集用户的历史标签记录,一旦攻击者通过攻击推荐服务器而获得...; 关键词：隐私保护标签聚类 Crowds网络发送方匿名 ε-差分隐私

Numerical Simulation of the Flow of Crowds at the Jamarat Bridge during the Annual Hajj Event: 《Open Journal of Fluid Dynamics》2016年第4期321-331,共11页Chokri Mnasri Abdulsalam Farhat; The huge number of pilgrims to the holy Mecca in the Hajj needs high awareness of crowd safety management. The stoning of the Jamarat, which is one of the rituals of the Hajj, undergoes the most dangerous crowd moveme...; 关键词：Computational Fluid Dynamics Crowd Dynamics Crowd Management Jamarat Bridge

CROWDS