云南高校图书馆联盟文献共享服务平台- MULTI-LABEL

MULTI-LABEL: 作品数：76被引量：140H指数：6; 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：吴建盛汤丽华更多>>; 相关机构：南京邮电大学华东师范大学东南大学天津理工大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家高技术研究发展计划北京市自然科学基金中国博士后科学基金更多>>

Multi-Scale Feature Fusion and Advanced Representation Learning for Multi Label Image Classification: 《Computers, Materials & Continua》2025年第3期5285-5306,共22页Naikang Zhong Xiao Lin Wen Du Jin Shi; supported by the National Natural Science Foundation of China(62302167,62477013);Natural Science Foundation of Shanghai(No.24ZR1456100);Science and Technology Commission of Shanghai Municipality(No.24DZ2305900);the Shanghai Municipal Special Fund for Promoting High-Quality Development of Industries(2211106).; Multi-label image classification is a challenging task due to the diverse sizes and complex backgrounds of objects in images.Obtaining class-specific precise representations at different scales is a key aspect of feat...; 关键词：Image classification MULTI-LABEL multi scale attention mechanisms feature fusion

KEXNet:A Knowledge-Enhanced Model for Improved Chest X-Ray Lesion Detection: 《Big Data Mining and Analytics》2024年第4期1187-1198,共12页Quan Yan Junwen Duan Jianxin Wang; supported by the National Key Research and Development Program of China(No.2021YFF1201200);the Science and Technology Major Project of Changsha(No.kh2402004).; Automated diagnosis of chest X-rays is pivotal in radiology,aiming to alleviate the workload of radiologists.Traditional methods primarily rely on visual features or label dependence,which is a limitation in detecting...; 关键词：multi-label chest X-ray classification object detection knowledge graph learning

Boosting Adaptive Weighted Broad Learning System for Multi-Label Learning: 《IEEE/CAA Journal of Automatica Sinica》2024年第11期2204-2219,共16页Yuanxin Lin Zhiwen Yu Kaixiang Yang Ziwei Fan C.L.Philip Chen; supported in part by the National Key R&D Program of China (2023YFA1011601);the Major Key Project of PCL, China (PCL2023AS7-1);in part by the National Natural Science Foundation of China (U21A20478, 62106224, 92267203);in part by the Science and Technology Major Project of Guangzhou (202007030006);in part by the Major Key Project of PCL (PCL2021A09);in part by the Guangzhou Science and Technology Plan Project (2024A04J3749)。; Multi-label classification is a challenging problem that has attracted significant attention from researchers, particularly in the domain of image and text attribute annotation. However, multi-label datasets are prone...; 关键词：Broad learning system label correlation mining label imbalance weighting multi-label imbalance

TPpred-SC:multi-functional therapeutic peptide prediction based on multi-label supervised contrastive learning: 《Science China(Information Sciences)》2024年第11期132-143,共12页Ke YAN Hongwu LV Jiangyi SHAO Shutao CHEN Bin LIU; supported by National Natural Science Foundation of China(Grant Nos.62325202,62102030,U22A2039);Beijing Natural Science Foundation(Grant No.L232067)。; Therapeutic peptides contribute significantly to human health and have the potential for personalized medicine.The prediction for the therapeutic peptides is beneficial and emerging for the discovery of drugs.Although...; 关键词：therapeutic peptide prediction multi-label classification pretrained protein language model multi-label supervised contrastive learning

Residual diverse ensemble for long-tailed multi-label text classification: 《Science China(Information Sciences)》2024年第11期88-101,共14页Jiangxin SHI Tong WEI Yufeng LI; supported by National Key R&D Program of China(Grant No.2022YFC3340901);National Natural Science Foundation of China(Grant No.62176118)。; Long-tailed multi-label text classification aims to identify a subset of relevant labels from a large candidate label set,where the training datasets usually follow long-tailed label distributions.Many of the previous...; 关键词：multi-label learning extreme multi-label learning long-tailed distribution multi-label text classification ensemble learning

Inverse design of nonlinear phononic crystal configurations based on multi-label classification learning neural networks: 《Chinese Physics B》2024年第10期295-301,共7页Kunqi Huang Yiran Lin Yun Lai Xiaozhou Liu; supported by the National Key Research and Development Program of China(Grant No.2020YFA0211400);the State Key Program of the National Natural Science of China(Grant No.11834008);the National Natural Science Foundation of China(Grant Nos.12174192,12174188,and 11974176);the State Key Laboratory of Acoustics,Chinese Academy of Sciences(Grant No.SKLA202410);the Fund from the Key Laboratory of Underwater Acoustic Environment,Chinese Academy of Sciences(Grant No.SSHJ-KFKT-1701).; Phononic crystals,as artificial composite materials,have sparked significant interest due to their novel characteristics that emerge upon the introduction of nonlinearity.Among these properties,second-harmonic feature...; 关键词：multi-label classification learning nonlinear phononic crystals inverse design

Multi-Label Feature Selection Based on Improved Ant Colony Optimization Algorithm with Dynamic Redundancy and Label Dependence: 《Computers, Materials & Continua》2024年第10期1157-1175,共19页Ting Cai Chun Ye Zhiwei Ye Ziyuan Chen Mengqing Mei Haichao Zhang Wanfang Bai Peng Zhang; supported by National Natural Science Foundation of China(Grant Nos.62376089,62302153,62302154,62202147);the key Research and Development Program of Hubei Province,China(Grant No.2023BEB024).; The world produces vast quantities of high-dimensional multi-semantic data.However,extracting valuable information from such a large amount of high-dimensional and multi-label data is undoubtedly arduous and challengi...; 关键词：Multi-label feature selection ant colony optimization algorithm dynamic redundancy high-dimensional data label correlation

Multi-Label Image Classification Based on Object Detection and Dynamic Graph Convolutional Networks: 《Computers, Materials & Continua》2024年第9期4413-4432,共20页Xiaoyu Liu Yong Hu; Multi-label image classification is recognized as an important task within the field of computer vision,a discipline that has experienced a significant escalation in research endeavors in recent years.The widespread a...; 关键词：Deep learning multi-label image recognition object detection graph convolution networks

A Deep Model for Partial Multi-label Image Classification with Curriculum-based Disambiguation: 《Machine Intelligence Research》2024年第4期801-814,共14页Feng Sun Ming-Kun Xie Sheng-Jun Huang; In this paper,we study the partial multi-label(PML)image classification problem,where each image is annotated with a candidate label set consisting of multiple relevant labels and other noisy labels.Existing PML metho...; 关键词：Partial multi-label image classification curriculum-based disambiguation consistency regularization label difficulty candidatelabel set.

Classification research of TCM pulse conditions based on multi-label voice analysis: 《Journal of Traditional Chinese Medical Sciences》2024年第2期172-179,共8页Haoran Shen Junjie Cao Lin Zhang Jing Li Jianghong Liu Zhiyuan Chu Shifeng Wang Yanjiang Qiao; supported by Fundamental Research Funds from the Beijing University of Chinese Medicine(2023-JYB-KYPT-13);the Developmental Fund of Beijing University of Chinese Medicine(2020-ZXFZJJ-083).; Objective:To explore the feasibility of remotely obtaining complex information on traditional Chinese medicine(TCM)pulse conditions through voice signals.Methods: We used multi-label pulse conditions as the entry poin...; 关键词：Pulse conditions TCM pulse diagnosis Voice analysis Multi-label classification Machine learning

高级检索 检索式检索

时间限定

期刊范围

学科限定全选

高级检索 检索式检索

时间限定

期刊范围

学科限定全选

MULTI-LABEL

检索结果分析

下载全文

高级检索检索式检索

时间限定

期刊范围

学科限定全选

高级检索 检索式检索

时间限定

期刊范围

学科限定全选

MULTI-LABEL

检索结果分析

下载全文

用户登录

高级检索检索式检索