AI大模型学习
AI博客
原创AI博客
大模型技术博客
AI大模型排行榜
业界大模型评测基准
全球大模型最新评测基准结果
大模型综合能力排行榜
大模型编程能力排行榜
LMSys ChatBot Arena排行榜
Berkeley大模型工具使用能力排行榜
OpenLLMLeaderboard中国站
全球大模型最新评测结果
AI大模型大全(新版)
AI大模型大全(新版)
AI大模型大全
AI大模型对比
2023年度AI产品总结
大模型部署教程
AI资源仓库
AI领域与任务
AI研究机构
AI数据集
AI开源工具
数据推荐
AI大模型
国产AI大模型生态全览
AI模型概览图
AI模型月报
AI基础大模型
AI大模型工具导航
AI大模型工具导航网站
在线聊天大模型列表
期刊列表
IEEE Transactions on Knowledge and Data Engineering
2022年 - 第 2 期论文
IEEE Transactions on Knowledge and Data Engineering
(TKDE)
-
论文列表
点击这里查看 IEEE Transactions on Knowledge and Data Engineering 的JCR分区、影响因子等信息
卷期号:
34
发布时间:
Feb.
卷期年份:
2022
卷期官网:
https://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=9677034&issue_denial=true&userType=&issue_login=true
本期论文列表
A Biclustering Method for Heterogeneous and Temporal Medical Data
原文链接
谷歌学术
必应学术
百度学术
A Novel Enriched Version of Truncated Nuclear Norm Regularization for Matrix Completion of Inexact Observed Data
原文链接
谷歌学术
必应学术
百度学术
CHEER: Rich Model Helps Poor Model via Knowledge Infusion
原文链接
谷歌学术
必应学术
百度学术
Cross-Database Micro-Expression Recognition: A Benchmark
原文链接
谷歌学术
必应学术
百度学术
Deep Cross-Modal Hashing With Hashing Functions and Unified Hash Codes Jointly Learning
原文链接
谷歌学术
必应学术
百度学术
Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model
原文链接
谷歌学术
必应学术
百度学术
Domain Adaptation on Graphs by Learning Aligned Graph Bases
原文链接
谷歌学术
必应学术
百度学术
Effective Keyword Search Over Weighted Graphs
原文链接
谷歌学术
必应学术
百度学术
ESA-Stream: Efficient Self-Adaptive Online Data Stream Clustering
原文链接
谷歌学术
必应学术
百度学术
Evidence Integration for Multi-Hop Reading Comprehension With Graph Neural Networks
原文链接
谷歌学术
必应学术
百度学术
Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems
原文链接
谷歌学术
必应学术
百度学术
Fast and Secure Distributed Nonnegative Matrix Factorization
原文链接
谷歌学术
必应学术
百度学术
Gaussian Distribution Based Oversampling for Imbalanced Data Classification
原文链接
谷歌学术
必应学术
百度学术
g-Inspector: Recurrent Attention Model on Graph
原文链接
谷歌学术
必应学术
百度学术
Hihooi: A Database Replication Middleware for Scaling Transactional Databases Consistently
原文链接
谷歌学术
必应学术
百度学术
HinCTI: A Cyber Threat Intelligence Modeling and Identification System Based on Heterogeneous Information Network
原文链接
谷歌学术
必应学术
百度学术
Incorporating Multi-Source Urban Data for Personalized and Context-Aware Multi-Modal Transportation Recommendation
原文链接
谷歌学术
必应学术
百度学术
Information Fusion for (Re)Configuring Bike Station Networks With Crowdsourcing
原文链接
谷歌学术
必应学术
百度学术
Linear Approximation of F-Measure for the Performance Evaluation of Classification Algorithms on Imbalanced Data Sets
原文链接
谷歌学术
必应学术
百度学术
LookCom: Learning Optimal Network for Community Detection
原文链接
谷歌学术
必应学术
百度学术
Maximizing the Utility in Location-Based Mobile Advertising
原文链接
谷歌学术
必应学术
百度学术
Multi-Task Learning for Recommendation Over Heterogeneous Information Network
原文链接
谷歌学术
必应学术
百度学术
Multi-View Clustering With the Cooperation of Visible and Hidden Views
原文链接
谷歌学术
必应学术
百度学术
Multi-View K-Means Clustering With Adaptive Sparse Memberships and Weight Allocation
原文链接
谷歌学术
必应学术
百度学术
Neural Text Segmentation and its Application to Sentiment Analysis
原文链接
谷歌学术
必应学术
百度学术
Obscure: Information-Theoretically Secure, Oblivious, and Verifiable Aggregation Queries on Secret-Shared Outsourced Data
原文链接
谷歌学术
必应学术
百度学术
Online Spatio-Temporal Crowd Flow Distribution Prediction for Complex Metro System
原文链接
谷歌学术
必应学术
百度学术
PGeoTopic: A Distributed Solution for Mining Geographical Topic Models
原文链接
谷歌学术
必应学术
百度学术
Reliability Maximization in Uncertain Graphs
原文链接
谷歌学术
必应学术
百度学术
Social Boosted Recommendation With Folded Bipartite Network Embedding
原文链接
谷歌学术
必应学术
百度学术
Towards Understanding the Instability of Network Embedding
原文链接
谷歌学术
必应学术
百度学术
Unsupervised Discriminative Projection for Feature Selection
原文链接
谷歌学术
必应学术
百度学术
User Identity Linkage via Co-Attentive Neural Network From Heterogeneous Mobility Data
原文链接
谷歌学术
必应学术
百度学术
Using Randomness to Improve Robustness of Tree-Based Models Against Evasion Attacks
原文链接
谷歌学术
必应学术
百度学术
Variable-Length Subsequence Clustering in Time Series
原文链接
谷歌学术
必应学术
百度学术
VERTICOX: Vertically Distributed Cox Proportional Hazards Model Using the Alternating Direction Method of Multipliers
原文链接
谷歌学术
必应学术
百度学术