„supervised learning“

Suchergebnisse

2.377 Treffer

• MetaCL: a semi-supervised meta learning architecture via contrastive learning
  Li, Chengyang ; Xie, Yongqiang ; Li, Zhongbo ; Zhu, Liping
• Performance comparison between multi-center histopathology datasets of a weakly-supervised deep learning model for pancreatic ductal adenocarcinoma detection
  Carrillo-Perez, Francisco ; Ortuno, Francisco M. ; Börjesson, Alejandro ; Rojas, Ignacio ; Herrera, Luis Javier
• Detecting ham and spam emails using feature union and supervised machine learning models
  Rustam, Furqan ; Saher, Najia ; Mehmood, Arif ; Lee, Ernesto ; Washington, Sandrilla ; Ashraf, Imran
• Gearbox Digital Twin Data Used in Supervised Learning
  Sow, Souleymane ; Farhat, Mohamed Habib ; Chiementin, Xavier ; Rasolofondraibe, Lanto ; Cousinard, Olivier
• Regional landslide susceptibility assessment based on improved semi-supervised clustering and deep learning
  Jiang, Yuhang ; Wang, Wei ; Zou, Lifang ; Cao, Yajun
• Bi-calibration Networks for Weakly-Supervised Video Representation Learning
  Long, Fuchen ; Yao, Ting ; Qiu, Zhaofan ; Tian, Xinmei ; Luo, Jiebo ; Mei, Tao
• Sentiment Analysis and Comprehensive Evaluation of Supervised Machine Learning Models Using Twitter Data on Russia–Ukraine War
  Wadhwani, Ganesh Kumar ; Varshney, Pankaj Kumar ; Gupta, Anjali ; Kumar, Shrawan
• Prediction of blood pressure variability during thrombectomy using supervised machine learning and outcomes of patients with ischemic stroke from large vessel occlusion
  Najafali, Daniel ; Johnstone, Thomas ; Pergakis, Melissa ; Buganu, Adelina ; Ullah, Muhammad ; Vuong, Kim ; Panchal, Bhakti ; Sutherland, Mark ; Yarbrough, Karen L. ; Phipps, Michael S. ; Jindal, Gaurav ; Tran, Quincy K.
• Predicting the Myocardial Infarction from Predictive Analytics Through Supervised Machine Learning
  Raghukumar, B. S. ; Naveen, B. ; Lachikarathman, D.
• Cut-in maneuver detection with self-supervised contrastive video representation learning
  Nalcakan, Yagiz ; Bastanlar, Yalin
• HetGNN-SF: Self-supervised learning on heterogeneous graph neural network via semantic strength and feature similarity
  Li, Chao ; Liu, Xinming ; Yan, Yeyu ; Zhao, Zhongying ; Zeng, Qingtian
• Depth Estimation Based on Monocular Camera Sensors in Autonomous Vehicles: A Self-supervised Learning Approach
  Li, Guofa ; Chi, Xingyu ; Qu, Xingda
• A network anomaly detection algorithm based on semi-supervised learning and adaptive multiclass balancing
  Zhang, Hao ; Xiao, Zude ; Gu, Jason ; Liu, Yanhua
• Type 2 diabetes mellitus classification using predictive supervised learning model
  Roobini, M. S. ; Lakshmi, M. ; Rajalakshmi, R. ; Sujihelen, L. ; Babu, K.
• An application of a supervised machine learning model for predicting life expectancy
  Lipesa, Brian Aholi ; Okango, Elphas ; Omolo, Bernard Oguna ; Omondi, Evans Otieno
• Fully supervised contrastive learning in latent space for face presentation attack detection
  Alassafi, Madini O. ; Ibrahim, Muhammad Sohail ; Naseem, Imran ; AlGhamdi, Rayed ; Alotaibi, Reem ; Kateb, Faris A. ; Oqaibi, Hadi Mohsen ; Alshdadi, Abdulrahman A. ; Yusuf, Syed Adnan
• Developing supervised machine learning algorithms to evaluate the therapeutic effect and laboratory-related adverse events of cyclosporine and tacrolimus in renal transplants
  Sridharan, Kannan ; Shah, Shamik
• Predicting declining and growing occupations using supervised machine learning
  Khalaf, Christelle ; Michaud, Gilbert ; Jolley, G. Jason
• A seismic random noise suppression method based on self-supervised deep learning and transfer learning
  Wu, Tianqi ; Meng, Xiaohong ; Liu, Hong ; Li, Wenda
• Analysis of RNA-Seq data using self-supervised learning for vital status prediction of colorectal cancer patients
  Padegal, Girivinay ; Rao, Murali Krishna ; Boggaram Ravishankar, Om Amitesh ; Acharya, Sathwik ; Athri, Prashanth ; Srinivasa, Gowri