×
验证码:
换一张
忘记密码?
记住我
×
统一认证登录
登录
中文版
|
English
上海科技大学知识管理系统
ShanghaiTech University Knowledge Management System
统一认证登录
登录
注册
ALL
ORCID
题名
作者
发表日期
关键词
文献类型
DOI
出处
存缴日期
收录类别
出版者
学习讨论厅
图片搜索
粘贴图片网址
首页
研究单元&专题
作者
文献类型
学科分类
知识图谱
知识整合
学习讨论厅
在结果中检索
研究单元&专题
信息科学与技术学院 [5]
生物医学工程学院 [4]
作者
沈定刚 [3]
张海鹏 [2]
徐凡 [2]
刘绵莘 [2]
郑杰 [1]
张玉瑶 [1]
更多...
文献类型
会议论文 [6]
期刊论文 [1]
预印本 [1]
发表日期
2024 [1]
2023 [3]
2022 [1]
2021 [3]
出处
Arxiv [1]
IEEE INTER... [1]
INTERNATIO... [1]
LECTURE NO... [1]
LECTURE NO... [1]
MEDICAL IM... [1]
更多...
语种
英语 [7]
资助项目
China Post... [1]
National N... [1]
资助机构
收录类别
EI [7]
CPCI-S [4]
CPCI [1]
SCIE [1]
状态
已发表 [8]
×
知识图谱
KMS
反馈留言
浏览/检索结果:
共8条,第1-8条
帮助
已选(
0
)
清除
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
题名升序
题名降序
期刊影响因子升序
期刊影响因子降序
WOS被引频次升序
WOS被引频次降序
提交时间升序
提交时间降序
作者升序
作者降序
发表日期升序
发表日期降序
A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification
会议论文
PROCEEDINGS OF THE AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, Vancouver, BC, Canada, February 20, 2024 - February 27, 2024
作者:
Xu, Fan
;
Zhao, Yu
;
Wu, Bingzhe
;
Huang, Yueshan
;
Ren, Qin
Adobe PDF(1229Kb)
|
收藏
|
浏览/下载:385/62
|
提交时间:2024/04/26
Artificial intelligence
Learning systems
Computational burden
Computational costs
Fusion modules
Immune receptors
Learning approach
Learning problem
Multi-modal
Multi-modal fusion
Multiple-instance learning
Time points
Multiple Instance Learning for Uplift Modeling
预印本
2023
作者:
Zhao, Yao
;
Zhang, Haipeng
;
Lyu, Shiwei
;
Jiang, Ruiying
Adobe PDF(961Kb)
|
收藏
|
浏览/下载:154/0
|
提交时间:2024/06/03
uplift modeling
multiple instance learning
average treatment effect
IIB-MIL: Integrated Instance-Level and Bag-Level Multiple Instances Learning with Label Disambiguation for Pathological Image Analysis
会议论文
LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS), Vancouver, BC, Canada, October 8, 2023 - October 12, 2023
作者:
Ren, Qin
;
Zhao, Yu
;
He, Bing
;
Wu, Bingzhe
;
Mai, Sijie
Adobe PDF(2136Kb)
|
收藏
|
浏览/下载:206/0
|
提交时间:2023/11/10
Diagnosis
Image analysis
Learning systems
Computational pathology
Confidence bank
Digital pathologies
Label disambiguation
Learning methods
Multi-instance learning
Multiple-instance learning
Pathological image analysis
Prototype
Whole slide images
Mining fMRI Dynamics with Parcellation Prior for Brain Disease Diagnosis
会议论文
IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI), Cartagena, Colombia, 18-21 April 2023
作者:
Xiaozhao Liu
;
Mianxin Liu
;
Lang Mei
;
Yuyao Zhang
;
Feng Shi
Adobe PDF(371Kb)
|
收藏
|
浏览/下载:253/0
|
提交时间:2023/05/07
Graph neural network
Brain disease
mild cognitive impairment
Transformer
Multiple instance learning
Multiple Instance Learning for Uplift Modeling
会议论文
INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, PROCEEDINGS, Atlanta, GA, United states, October 17, 2022 - October 21, 2022
作者:
Zhao, Yao
;
Zhang, Haipeng
;
Lyu, Shiwei
;
Jiang, Ruiying
;
Gu, Jinjie
Adobe PDF(358Kb)
|
收藏
|
浏览/下载:243/0
|
提交时间:2022/12/02
Learning systems
Average treatment effects
Control groups
Customer retention
Model method
Multiple-instance learning
Performance
Retention rate
Treatment effects
Treatment group
Uplift modeling
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning
期刊论文
MEDICAL IMAGE ANALYSIS, 2021, 卷号: 69
作者:
Li, Zekun
;
Zhao, Wei
;
Shi, Feng
;
Qi, Lei
;
Xie, Xingzhi
Adobe PDF(2150Kb)
|
收藏
|
浏览/下载:282/0
|
提交时间:2021/05/14
COVID-19
Chest CT
Multiple instance learning
Data augmentation
Self-supervised learning
Building Dynamic Hierarchical Brain Networks and Capturing Transient Meta-states for Early Mild Cognitive Impairment Diagnosis
会议论文
LECTURE NOTES IN COMPUTER SCIENCE, ELECTR NETWORK, SEP 27-OCT 01, 2021
作者:
Liu, Mianxin
;
Zhang, Han
;
Shi, Feng
;
Shen, Dinggang
Adobe PDF(193940Kb)
|
收藏
|
浏览/下载:417/0
|
提交时间:2021/11/19
Dynamic functional connectivity
Early mild cognitive impairment
Graph convolutional network
Multiple instance learning
Multiscale atlases
SMILE: Sparse-Attention based Multiple Instance Contrastive Learning for Glioma Sub-Type Classification Using Pathological Images
会议论文
PROCEEDINGS OF MACHINE LEARNING RESEARCH, Virtual, Online, September 27, 2021
作者:
Lu, Mengkang
;
Pan, Yongsheng
;
Nie, Dong
;
Liu, Feihong
;
Shi, Feng
收藏
|
浏览/下载:228/0
|
提交时间:2023/07/28
Diagnosis
Image classification
Learning systems
Tumors
Classifieds
Glioma classification
Histological features
Learning methods
Malignant brain tumour
Multiple instance contrastive learning
Multiple instances
Pathological images
Sparse-attention
Type classifications
首页
上一页
1
下一页
末页