A novel sub-Kmeans based on co-training approach by transforming single-view into multi-view

Reservoir Hosts Prediction for COVID-19 by Hybrid Transfer Learning Model

(2021) Yun Yang et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Principal Component Analysis (PCA) Based Hybrid Models for the Accurate Estimation of Reservoir Water Saturation

(2020) Solomon Asante-Okyere et al.   COMPUTERS & GEOSCIENCES

Deploying Machine and Deep Learning Models for Efficient Data-Augmented Detection of COVID-19 Infections

(2020) Ahmed Sedik et al.   Viruses-Basel

Three-way decision with co-training for partially labeled data

(2020) Can Gao et al.   INFORMATION SCIENCES

Fetal cardiac cycle detection in multi-resource echocardiograms using hybrid classification framework

(2020) Bin Pu et al.   Future Generation Computer Systems-The International Journal of eScience

Structured graph learning for clustering and semi-supervised classification

(2020) Zhao Kang et al.   PATTERN RECOGNITION

Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis

(2019) Veronika Cheplygina et al.   MEDICAL IMAGE ANALYSIS

A survey on semi-supervised learning

(2019) Jesper E. van Engelen et al.   MACHINE LEARNING

Combining deep generative and discriminative models for Bayesian semi-supervised learning

(2019) Jonathan Gordon et al.   PATTERN RECOGNITION

Semi-supervised learning and graph cuts for consensus based medical image segmentation

(2017) Dwarikanath Mahapatra   PATTERN RECOGNITION

Combining multiple expert annotations using semi-supervised learning and graph cuts for medical image segmentation

(2016) Dwarikanath Mahapatra   COMPUTER VISION AND IMAGE UNDERSTANDING

Hybrid Sampling-Based Clustering Ensemble With Global and Local Constitutions

(2016) Yun Yang et al.   IEEE Transactions on Neural Networks and Learning Systems

Saliency detection based on integrated features

(2013) Huiyun Jing et al.   NEUROCOMPUTING

Co-training with relevant random subspaces

(2010) Yusuf Yaslan et al.   NEUROCOMPUTING

A new co-training-style random forest for computer aided diagnosis

(2009) Chao Deng et al.   JOURNAL OF INTELLIGENT INFORMATION SYSTEMS