Searchsemi-supervised learningreturned 13 results

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1

Deep semi-supervised learning approach for few-shot segmentation of surface defects on metal workpieces

基于深度半监督学习的小样本金属工件表面缺陷分割

Xu Xingyu

Zhong Yuzhong

Tu Haiyan

Dian Songyi

semi-supervised learning

surface defect detection

image segmentation

few-shot

data augmentation

Accepted Paper No. 8, 2024 : doi:10.19734/j.issn.1001-3695.2023.10.0560

2

Semi-supervised log anomaly detection based on bidirectional temporal convolution network

基于双向时间卷积网络的半监督日志异常检测

Yin Chunyong

Kong Xian

log parsing

anomaly detection

semi-supervised learning

bidirectional temporal convolution network

contextual correlation

Accepted Paper No. 7, 2024 : doi:10.19734/j.issn.1001-3695.2023.10.0507

3

Multi-scale audio sequence generation method based on generative adversarial networks and feature fusion

基于生成对抗网络与特征融合的多尺度音频序列生成方法

Xu Huajie

Zhang Bo

audio sequence generation

generative adversarial network

semi-supervised learning

feature fusion

No. 9, 2023 : 2770-2774 doi:10.19734/j.issn.1001-3695.2023.01.0018

4

Semi-supervised text classification algorithm with data augmentation and similar pseudo-labels

基于数据增强和相似伪标签的半监督文本分类算法

Sheng Xiaohui

Shen Hailong

semi-supervised learning

text classification

data augmentation

similar pseudo-label

No. 4, 2023 : 1019-1023,1051 doi:10.19734/j.issn.1001-3695.2022.08.0412

5

Abnormal traffic detection algorithm for IoT devices based on ensemble learning

基于集成学习的物联网设备异常流量检测算法

Liu Xiangjun

Jiang Lingyun

botnet

ensemble learning

correlation coefficient

semi-supervised learning

No. 6, 2022 : 1785-1789,1804 doi:10.19734/j.issn.1001-3695.2021.11.0634

6

Semi-supervised federated learning model based on AutoEncoder neural network

基于自编码神经网络的半监督联邦学习模型

Hou Kunchi

Wang Nan

Zhang Kejia

Song Lei

Yuan Qi

Miao Fengjuan

federated learning(FL)

semi-supervised learning

privacy preserving

AutoEncoder neural network

No. 4, 2022 : 1071-1074,1104 doi:10.19734/j.issn.1001-3695.2021.08.0374

7

Semi-supervised fault diagnosis method for chemical process based on TE-DS

基于TE-DS的半监督化工过程故障诊断方法

Liu Jiaren

Song Hong

Li Shuai

Zhou Xiaofeng

Liu Shurui

fault diagnosis

chemical process

semi-supervised learning

dual student model

temporal ensembling

No. 1, 2022 : 84-89 doi:10.19734/j.issn.1001-3695.2021.06.0229

8

Overview of data stream ensemble classification based on supervised and semi-supervised learning

监督与半监督学习下的数据流集成分类综述

Li Xiaojuan

Han Meng

Wang Le

Zhang Ni

Cheng Haodong

data stream

ensemble learning

supervised learning

semi-supervised learning

No. 7, 2021 : 1921-1929 doi:10.19734/j.issn.1001-3695.2020.09.0351

9

Survey of semi-supervised feature selection methods

半监督特征选择综述

Zhang Dongfang

Chen Haiyan

Wang Jiandong

machine learning

semi-supervised learning

feature selection

No. 2, 2021 : 321-329 doi:10.19734/j.issn.1001-3695.2020.01.0001

10

Semi-supervised domain adaptation method based on dropout regularization

基于dropout正则化的半监督域自适应方法

Li Zhiheng

He Jun

Hu Zhaohua

domain adaptation methods

regularization

semi-supervised learning

neural network

No. 2, 2021 : 591-594,599 doi:10.19734/j.issn.1001-3695.2019.11.0650

11

Research on person re-identification based on deep learning

基于深度学习的行人重识别研究综述

Feng Xia

Du Jiahao

Duan Yinong

Liu Caihua

person re-identification

supervised learning

semi-supervised learning

weakly supervised learning

unsupervised learning

No. 11, 2020 : 3220-3226,3240 doi:10.19734/j.issn.1001-3695.2019.09.0514

12

Semi-supervised node classification based geometric neighbor

基于几何邻居的半监督节点分类

Cheng Tianying

Wang Qian

Yuan Ding

feature representation

node classification

semi-supervised learning

random walk

network analysis

No. 9, 2020 : 2595-2599 doi:10.19734/j.issn.1001-3695.2019.03.0110

13

Semi-supervised spectral clustering based on density adaptive neighbor similarity graph

基于密度自适应邻域相似图的半监督谱聚类

Liu Youchao

Zhang Xihuang

spectral clustering

density adaptive neighbor

similarity graph

semi-supervised learning

No. 9, 2020 : 2604-2609 doi:10.19734/j.issn.1001-3695.2019.04.0113