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AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP

28 January 2025
Xiaoxuan Sun
Yue Yao
Xiaoye Wang
Pochun Li
Xuan Li
ArXiv (abs)PDFHTML

Papers citing "AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP"

21 / 21 papers shown
Title
Detecting Credit Card Fraud via Heterogeneous Graph Neural Networks with Graph Attention
Detecting Credit Card Fraud via Heterogeneous Graph Neural Networks with Graph Attention
Qiuwu Sha
Tengda Tang
Xinyu Du
Jie Liu
Yun Wang
Yuan Sheng
74
0
0
11 Apr 2025
Contrastive and Variational Approaches in Self-Supervised Learning for Complex Data Mining
Contrastive and Variational Approaches in Self-Supervised Learning for Complex Data Mining
Yingbin Liang
Lu Dai
Shuo Shi
Minghao Dai
Junliang Du
Haige Wang
SSL
95
7
0
05 Apr 2025
Improving Harmful Text Detection with Joint Retrieval and External Knowledge
Improving Harmful Text Detection with Joint Retrieval and External Knowledge
Zidong Yu
Shuaiqiang Wang
Nan Jiang
Weiqiang Huang
Xu Han
Junliang Du
132
2
0
03 Apr 2025
Federated Learning for Cross-Domain Data Privacy: A Distributed Approach to Secure Collaboration
Federated Learning for Cross-Domain Data Privacy: A Distributed Approach to Secure Collaboration
Yiwei Zhang
Jie Liu
Jiawei Wang
Lu Dai
Fan Guo
Guohui Cai
FedML
91
4
0
31 Mar 2025
Context-Aware Rule Mining Using a Dynamic Transformer-Based Framework
Jie Liu
Yiwei Zhang
Yuan Sheng
Yujia Lou
Haige Wang
Bohuan Yang
86
4
0
14 Mar 2025
A LongFormer-Based Framework for Accurate and Efficient Medical Text Summarization
Dan Sun
Jacky He
Hanlu Zhang
Zhen Qi
Hongye Zheng
Xiaokai Wang
MedIm
103
3
0
10 Mar 2025
Adaptive Optimization for Enhanced Efficiency in Large-Scale Language
  Model Training
Adaptive Optimization for Enhanced Efficiency in Large-Scale Language Model Training
Jiajing Chen
Bingying Liu
Xiaoxuan Liao
Jia Gao
Hongye Zheng
Yue Li
147
12
0
06 Dec 2024
Advanced Risk Prediction and Stability Assessment of Banks Using Time
  Series Transformer Models
Advanced Risk Prediction and Stability Assessment of Banks Using Time Series Transformer Models
Wenying Sun
Zhen Xu
Wenqing Zhang
Kunyuan Ma
You Wu
Mengfang Sun
AI4TS
116
7
0
04 Dec 2024
Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing
Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing
Wen Liu
Ziqi Zhang
Xiaochen Li
Jiacheng Hu
Yuanshuai Luo
Junliang Du
125
9
0
04 Dec 2024
Leveraging Semi-Supervised Learning to Enhance Data Mining for Image
  Classification under Limited Labeled Data
Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data
Aoran Shen
Minghao Dai
Jiacheng Hu
Yingbin Liang
Shiru Wang
Junliang Du
164
11
0
27 Nov 2024
Enhancing Few-Shot Learning with Integrated Data and GAN Model
  Approaches
Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches
Yinqiu Feng
Aoran Shen
Jiacheng Hu
Yingbin Liang
Shiru Wang
Junliang Du
131
14
0
25 Nov 2024
Optimizing Gesture Recognition for Seamless UI Interaction Using
  Convolutional Neural Networks
Optimizing Gesture Recognition for Seamless UI Interaction Using Convolutional Neural Networks
Qi Sun
Tong Zhang
Shang Gao
Liuqingqing Yang
Fenghua Shao
133
13
0
23 Nov 2024
Graph Neural Network-Based Entity Extraction and Relationship Reasoning
  in Complex Knowledge Graphs
Graph Neural Network-Based Entity Extraction and Relationship Reasoning in Complex Knowledge Graphs
Junliang Du
Guiran Liu
Jia Gao
Xiaoxuan Liao
Jiacheng Hu
Linxiao Wu
3DVGNN
103
14
0
19 Nov 2024
A Combined Encoder and Transformer Approach for Coherent and
  High-Quality Text Generation
A Combined Encoder and Transformer Approach for Coherent and High-Quality Text Generation
Jiajing Chen
Shuo Wang
Zhen Qi
Zhenhong Zhang
Chihang Wang
Hongye Zheng
135
11
0
19 Nov 2024
Metric Learning for Tag Recommendation: Tackling Data Sparsity and Cold
  Start Issues
Metric Learning for Tag Recommendation: Tackling Data Sparsity and Cold Start Issues
Yuanshuai Luo
Rui Wang
Yaxin Liang
Ankai Liang
Wen Liu
52
15
0
10 Nov 2024
Emotion-Aware Interaction Design in Intelligent User Interface Using
  Multi-Modal Deep Learning
Emotion-Aware Interaction Design in Intelligent User Interface Using Multi-Modal Deep Learning
Shiyu Duan
Ziyi Wang
Shixiao Wang
Mengmeng Chen
Runsheng Zhang
97
19
0
10 Nov 2024
Deep Learning with HM-VGG: AI Strategies for Multi-modal Image Analysis
Deep Learning with HM-VGG: AI Strategies for Multi-modal Image Analysis
Junliang Du
Yiru Cang
Tong Zhou
Jiacheng Hu
Weijie He
97
8
0
31 Oct 2024
Deep Learning for Medical Text Processing: BERT Model Fine-Tuning and
  Comparative Study
Deep Learning for Medical Text Processing: BERT Model Fine-Tuning and Comparative Study
Jiacheng Hu
Yiru Cang
Guiran Liu
Meiqi Wang
Weijie He
Runyuan Bao
MedImAI4MH
77
9
0
28 Oct 2024
Self-Supervised Graph Neural Networks for Enhanced Feature Extraction in
  Heterogeneous Information Networks
Self-Supervised Graph Neural Networks for Enhanced Feature Extraction in Heterogeneous Information Networks
Jianjun Wei
Yue Liu
Xin Huang
Xin Zhang
Wenyi Liu
Xu Yan
SSL
101
39
0
23 Oct 2024
Harnessing LLMs for API Interactions: A Framework for Classification and
  Synthetic Data Generation
Harnessing LLMs for API Interactions: A Framework for Classification and Synthetic Data Generation
Chunliang Tao
Xiaojing Fan
Yahe Yang
108
20
0
18 Sep 2024
Survival Prediction Across Diverse Cancer Types Using Neural Networks
Survival Prediction Across Diverse Cancer Types Using Neural Networks
Xu Yan
Weimin Wang
Mingxuan Xiao
Yufeng Li
Min Gao
102
96
0
11 Apr 2024
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