Results 181 to 190 of about 881,675 (221)

Causal multi-label learning for image classification

Neural Networks, 2023
In this paper, we investigate the problem of causal image classification with multi-label learning. As multi-label learning involves a diversity of supervision signals, it is considered a challenging issue to solve. Previous approaches have attempted to improve performance by identifying label-related image areas or exploiting the co-occurrence of ...
Yingjie Tian, Kunlong Bai, Xiaotong Yu, Siyu Zhu   +3 more
openaire   +2 more sources

Web Genre Classification via Hierarchical Multi-label Classification

2015
The increase of the number of web pages prompts for improvement of the search engines. One such improvement can be by specifying the desired web genre of the result web pages. This opens the need for web genre prediction based on the information on the web page.
Madjarov, Gjorgji, Vidulin, Vedrana, Dimitrovski, Ivica, Kocev, Dragi   +3 more
openaire   +2 more sources

Reduced-rank multi-label classification

Statistics and Computing, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yuan, Ting, Wang, Junhui
openaire   +1 more source

Improving multi-label classification with missing labels by learning label-specific features

Information Sciences, 2019
Existing multi-label learning approaches mainly utilize an identical data representation composed of all the features in the discrimination of all the labels, and assume that all the class labels are observed for each training sample.
Jun Huang, Feng Qin, Xiao Zheng, Zekai Cheng, Zhixiang Yuan, W. Zhang, Qingming Huang   +6 more
semanticscholar   +1 more source

Multi-label classification of Alzheimer's disease stages from resting-state fMRI-based correlation connectivity data and deep learning

Comput. Biol. Medicine, 2022
Abdulaziz Alorf, Muhammad Usman Ghani Khan   +1 more
semanticscholar   +1 more source

A survey of multi-label classification based on supervised and semi-supervised learning

International Journal of Machine Learning and Cybernetics, 2022
Meng Han, Hongxin Wu, Zhiqiang Chen, Muhan Li, Xilong Zhang   +4 more
semanticscholar   +1 more source

Multi-label Dysfluency Classification

2022
Melanie Jouaiti, Kerstin Dautenhahn
openaire   +1 more source

Learning common and label-specific features for multi-Label classification with correlation information

Pattern Recognition, 2022
Junlong Li, Peipei Li, Xuegang Hu, Kui Yu   +3 more
semanticscholar   +1 more source

Multi-label Classification without the Multi-label Cost

Proceedings of the 2010 SIAM International Conference on Data Mining, 2010
Xiatian Zhang, Quan Yuan, Shiwan Zhao, Wei Fan, Wentao Zheng, Zhong Wang   +5 more
openaire   +1 more source

Multi-Label Collective Classification

Proceedings of the 2011 SIAM International Conference on Data Mining, 2011
Xiangnan Kong, Xiaoxiao Shi, Philip S. Yu   +2 more
openaire   +1 more source