Adaptive collaborative fusion for multi-view semi-supervised classification
Multi-view semi-supervised classification is inherently a challenging task in multi-view
learning due to the lack of label information. Existing methods generally suffer from …
learning due to the lack of label information. Existing methods generally suffer from …
Multi-scale locality preserving projection for partial multi-view incomplete multi-label learning
J Long, Q Zhang, X Lu, J Wen, L Zhao, W Xie - Neural Networks, 2024 - Elsevier
Amidst advancements in feature extraction techniques, research on multi-view multi-label
classifications has attracted widespread interest in recent years. However, real-world …
classifications has attracted widespread interest in recent years. However, real-world …
Label propagation with contrastive anchors for deep semi-supervised superheat degree identification in aluminum electrolysis process
J Wang, S Xie, Y Xie, X Chen - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Accurate identification of multimodal Superheat Degree (SD) plays a critical decision-
making role in Aluminum Electrolysis Process (AEP). Because the labeled SD data are …
making role in Aluminum Electrolysis Process (AEP). Because the labeled SD data are …
Efficient multi-view semi-supervised feature selection
Multi-view semi-supervised feature selection can identify a feature subset from
heterogeneous feature spaces of data. However, existing methods fail in handling large …
heterogeneous feature spaces of data. However, existing methods fail in handling large …
[HTML][HTML] Sample-weighted fused graph-based semi-supervised learning on multi-view data
J Bi, F Dornaika - Information Fusion, 2024 - Elsevier
Research in semi-supervised learning on graphs has attracted more and more attention in
recent years, as learning on graphs is applied in more and more domains and labeling data …
recent years, as learning on graphs is applied in more and more domains and labeling data …
Multi-view graph fusion for semi-supervised learning: application to image-based face beauty prediction
F Dornaika, A Moujahid - Algorithms, 2022 - mdpi.com
Facial Beauty Prediction (FBP) is an important visual recognition problem to evaluate the
attractiveness of faces according to human perception. Most existing FBP methods are …
attractiveness of faces according to human perception. Most existing FBP methods are …
[HTML][HTML] A social network analysis of two networks: Adolescent school network and Bitcoin trader network
This paper applies social network analysis in two experiments. In the first experiment, social
network analysis is conducted on student friendship networks to find relational patterns …
network analysis is conducted on student friendship networks to find relational patterns …
人工智能在脊柱畸形领域研究热点的可视化分析
陶广义， 王琳梓， 杨彬， 黄俊卿 - 中国组织工程研究, 2024 - cjter.com
人工智能在脊柱畸形领域研究热点的可视化分析 Page 1 Chinese Journal of Tissue
Engineering Research|Vol 28|No.30|October 2024|4915 中国组织工程研究 Chinese Journal …
Engineering Research|Vol 28|No.30|October 2024|4915 中国组织工程研究 Chinese Journal …
Inhomogeneous Diffusion-Induced Network for Multiview Semi-Supervised Classification
The challenges posed by heterogeneous data in practical applications have made multiview
semi-supervised classification a focus of attention for researchers. While several graph …
semi-supervised classification a focus of attention for researchers. While several graph …
Multi-similarity semi-supervised manifold embedding for facial attractiveness scoring
F Dornaika - Soft Computing, 2023 - Springer
Estimating the attractiveness of faces in images and videos is a relatively new problem in
computer vision. So far, supervised learning paradigms with deep or shallow models have …
computer vision. So far, supervised learning paradigms with deep or shallow models have …