„Graph Machine Learning“

Suchergebnisse

3.871 Treffer

• Coding mode decision algorithm for fast HEVC transrating using heuristics and machine learning
  Grellert, Mateus ; Silva Cruz, Luis A. da ; Zatt, Bruno ; Bampi, Sergio
• Machine Learning in Social Networks – Embedding Nodes, Edges, Communities, and Graphs
  2021 Springer Singapore
• Machine learning-based fast CU size decision algorithm for 3D-HEVC inter-coding
  Bakkouri, Siham ; Elyousfi, Abderrahmane
• Enhancing data quality in real-time threat intelligence systems using machine learning
  Rodriguez, Ariel ; Okamura, Koji
• Supervised Machine Learning Models for Prediction of COVID-19 Infection using Epidemiology Dataset
  Muhammad, L. J. ; Algehyne, Ebrahem A. ; Usman, Sani Sharif ; Ahmad, Abdulkadir ; Chakraborty, Chinmay ; Mohammed, I. A.
• A survey of visual analytics techniques for machine learning
  Yuan, Jun ; Chen, Changjian ; Yang, Weikai ; Liu, Mengchen ; Xia, Jiazhi ; Liu, Shixia
• Imbalanced Learning with Parametric Linear Programming Support Vector Machine for Weather Data Application
  Jafarigol, Elaheh ; Trafalis, Theodore
• Sequential Feature Selection and Machine Learning Algorithm-Based Patient’s Death Events Prediction and Diagnosis in Heart Disease
  Aggrawal, Ritu ; Pal, Saurabh
• Heart Disease Prediction using Machine Learning Techniques
  Shah, Devansh ; Patel, Samir ; Bharti, Santosh Kumar
• Detection of abnormalities in wireless capsule endoscopy based on extreme learning machine
  Ellahyani, Ayoub ; Jaafari, Ilyas El ; Charfi, Said ; Ansari, Mohamed El
• IterML: Iterative Machine Learning for Intelligent Parameter Pruning and Tuning in Graphics Processing Units
  Cui, Xuewen ; Feng, Wu-chun
• Denouements of machine learning and multimodal diagnostic classification of Alzheimer’s disease
  Naik, Binny ; Mehta, Ashir ; Shah, Manan
• Bearing fault diagnostic using machine learning algorithms
  Sawaqed, Laith S. ; Alrayes, Ayman M.
• Machine learning for digital try-on: Challenges and progress
  Liang, Junbang ; Lin, Ming C.
• Balanced Graph-based regularized semi-supervised extreme learning machine for EEG classification
  She, Qingshan ; Zou, Jie ; Meng, Ming ; Fan, Yingle ; Luo, Zhizeng
• Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classification
  Ren, Liang-Rui ; Gao, Ying-Lian ; Liu, Jin-Xing ; Shang, Junliang ; Zheng, Chun-Hou
• Breast Cancer Prediction: A Comparative Study Using Machine Learning Techniques
  Islam, Md. Milon ; Haque, Md. Rezwanul ; Iqbal, Hasib ; Hasan, Md. Munirul ; Hasan, Mahmudul ; Kabir, Muhammad Nomani
• Machine Learning Attacks and Countermeasures for PUF-Based IoT Edge Node Security
  Laguduva, Vishalini R. ; Katkoori, Srinivas ; Karam, Robert
• Applications of Machine Learning Techniques to Predict Diagnostic Breast Cancer
  Chaurasia, Vikas ; Pal, Saurabh
• Assessing and mitigating the effects of class imbalance in machine learning with application to X-ray imaging
  Qu, Wendi ; Balki, Indranil ; Mendez, Mauro ; Valen, John ; Levman, Jacob ; Tyrrell, Pascal N.