Saved in:
| Main Authors: | Shi, Long, Tang, Chuanqing, Deng, Huangyi, Xu, Cai, Xing, Lei, Chen, Badong |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.03713 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Trusted Multi-view Learning for Long-tailed Classification
by: Tang, Chuanqing, et al.
Published: (2025)
by: Tang, Chuanqing, et al.
Published: (2025)
Enhanced Latent Multi-view Subspace Clustering
by: Shi, Long, et al.
Published: (2023)
by: Shi, Long, et al.
Published: (2023)
RSEA-MVGNN: Multi-View Graph Neural Network with Reliable Structural Enhancement and Aggregation
by: Chen, Junyu, et al.
Published: (2024)
by: Chen, Junyu, et al.
Published: (2024)
Tensor-based Graph Learning with Consistency and Specificity for Multi-view Clustering
by: Shi, Long, et al.
Published: (2024)
by: Shi, Long, et al.
Published: (2024)
Towards Comprehensive Information-theoretic Multi-view Learning
by: Shi, Long, et al.
Published: (2025)
by: Shi, Long, et al.
Published: (2025)
Discovering Common Information in Multi-view Data
by: Zhang, Qi, et al.
Published: (2024)
by: Zhang, Qi, et al.
Published: (2024)
Nonlinear subspace clustering by functional link neural networks
by: Shi, Long, et al.
Published: (2024)
by: Shi, Long, et al.
Published: (2024)
Dynamic Evidence Decoupling for Trusted Multi-view Learning
by: Liu, Ying, et al.
Published: (2024)
by: Liu, Ying, et al.
Published: (2024)
Trusted Multi-view Learning under Noisy Supervision
by: Zhang, Yilin, et al.
Published: (2024)
by: Zhang, Yilin, et al.
Published: (2024)
Restricted Minimum Error Entropy Criterion for Robust Classification
by: Li, Yuanhao, et al.
Published: (2019)
by: Li, Yuanhao, et al.
Published: (2019)
Are Independently Estimated View Uncertainties Comparable? Unified Routing for Trusted Multi-View Classification
by: Zhang, Yilin, et al.
Published: (2026)
by: Zhang, Yilin, et al.
Published: (2026)
Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning
by: Shen, Jiangrong, et al.
Published: (2025)
by: Shen, Jiangrong, et al.
Published: (2025)
A Hybrid Strategy for Probabilistic Forecasting and Trading of Aggregated Wind-Solar Power: Design and Analysis in HEFTCom2024
by: Pu, Chuanqing, et al.
Published: (2025)
by: Pu, Chuanqing, et al.
Published: (2025)
Global Graph Propagation with Hierarchical Information Transfer for Incomplete Contrastive Multi-view Clustering
by: Chao, Guoqing, et al.
Published: (2025)
by: Chao, Guoqing, et al.
Published: (2025)
CI-GNN: A Granger Causality-Inspired Graph Neural Network for Interpretable Brain Network-Based Psychiatric Diagnosis
by: Zheng, Kaizhong, et al.
Published: (2023)
by: Zheng, Kaizhong, et al.
Published: (2023)
Correntropy-Based Logistic Regression with Automatic Relevance Determination for Robust Sparse Brain Activity Decoding
by: Li, Yuanhao, et al.
Published: (2022)
by: Li, Yuanhao, et al.
Published: (2022)
Generalized Cauchy-Schwarz Divergence and Its Deep Learning Applications
by: Lu, Mingfei, et al.
Published: (2024)
by: Lu, Mingfei, et al.
Published: (2024)
Dual-Path Stable Soft Prompt Generation for Domain Generalization
by: Zhang, Yuedi, et al.
Published: (2025)
by: Zhang, Yuedi, et al.
Published: (2025)
Causal Inference, Biomarker Discovery, Graph Neural Network, Feature Selection
by: Lan, Chaowang, et al.
Published: (2025)
by: Lan, Chaowang, et al.
Published: (2025)
Predict-then-Optimize for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks Stream
by: Pu, Chuanqing, et al.
Published: (2025)
by: Pu, Chuanqing, et al.
Published: (2025)
Cost-TrustFL: Cost-Aware Hierarchical Federated Learning with Lightweight Reputation Evaluation across Multi-Cloud
by: Yang, Jixiao, et al.
Published: (2025)
by: Yang, Jixiao, et al.
Published: (2025)
Fairness-Aware Multi-view Evidential Learning with Adaptive Prior
by: Chen, Haishun, et al.
Published: (2025)
by: Chen, Haishun, et al.
Published: (2025)
PROTOCOL: Partial Optimal Transport-enhanced Contrastive Learning for Imbalanced Multi-view Clustering
by: Xue, Xuqian, et al.
Published: (2025)
by: Xue, Xuqian, et al.
Published: (2025)
Fedcompass: Federated Clustered and Periodic Aggregation Framework for Hybrid Classical-Quantum Models
by: Wang, Yueheng, et al.
Published: (2026)
by: Wang, Yueheng, et al.
Published: (2026)
Multi-view Fuzzy Graph Attention Networks for Enhanced Graph Learning
by: Xing, Jinming, et al.
Published: (2024)
by: Xing, Jinming, et al.
Published: (2024)
AdaMuS: Adaptive Multi-view Sparsity Learning for Dimensionally Unbalanced Data
by: Xu, Cai, et al.
Published: (2026)
by: Xu, Cai, et al.
Published: (2026)
Jacobian Regularizer-based Neural Granger Causality
by: Zhou, Wanqi, et al.
Published: (2024)
by: Zhou, Wanqi, et al.
Published: (2024)
Multi-view Granular-ball Contrastive Clustering
by: Su, Peng, et al.
Published: (2024)
by: Su, Peng, et al.
Published: (2024)
Mask-informed Deep Contrastive Incomplete Multi-view Clustering
by: Li, Zhenglai, et al.
Published: (2025)
by: Li, Zhenglai, et al.
Published: (2025)
Multi-group Learning for Hierarchical Groups
by: Deng, Samuel, et al.
Published: (2024)
by: Deng, Samuel, et al.
Published: (2024)
PromptTA: Prompt-driven Text Adapter for Source-free Domain Generalization
by: Zhang, Haoran, et al.
Published: (2024)
by: Zhang, Haoran, et al.
Published: (2024)
Who to Trust? Aggregating Client Predictions in Federated Distillation
by: Kovalchuk, Viktor, et al.
Published: (2025)
by: Kovalchuk, Viktor, et al.
Published: (2025)
Multi-view Clustering via Unified Multi-kernel Learning and Matrix Factorization
by: Jia, Chenxing, et al.
Published: (2024)
by: Jia, Chenxing, et al.
Published: (2024)
Learning to Trust Experience: A Monitor-Trust-Regulator Framework for Learning under Unobservable Feedback Reliability
by: Zhang, Zhipeng, et al.
Published: (2026)
by: Zhang, Zhipeng, et al.
Published: (2026)
Trust Region On-Policy Distillation
by: Xing, Xingrun, et al.
Published: (2026)
by: Xing, Xingrun, et al.
Published: (2026)
Enforcing Consistency and Fairness in Multi-level Hierarchical Classification with a Mask-based Output Layer
by: Chen, Shijing, et al.
Published: (2025)
by: Chen, Shijing, et al.
Published: (2025)
A Semi-Supervised Federated Learning Framework with Hierarchical Clustering Aggregation for Heterogeneous Satellite Networks
by: Liu, Zhuocheng, et al.
Published: (2025)
by: Liu, Zhuocheng, et al.
Published: (2025)
Joint Learning of Unsupervised Multi-view Feature and Instance Co-selection with Cross-view Imputation
by: Cai, Yuxin, et al.
Published: (2025)
by: Cai, Yuxin, et al.
Published: (2025)
An Oversampling-enhanced Multi-class Imbalanced Classification Framework for Patient Health Status Prediction Using Patient-reported Outcomes
by: Yan, Yang, et al.
Published: (2024)
by: Yan, Yang, et al.
Published: (2024)
Uncertainty-Aware Multi-view Arrhythmia Classification from ECG
by: Ashhad, Mohd, et al.
Published: (2025)
by: Ashhad, Mohd, et al.
Published: (2025)
Similar Items
-
Trusted Multi-view Learning for Long-tailed Classification
by: Tang, Chuanqing, et al.
Published: (2025) -
Enhanced Latent Multi-view Subspace Clustering
by: Shi, Long, et al.
Published: (2023) -
RSEA-MVGNN: Multi-View Graph Neural Network with Reliable Structural Enhancement and Aggregation
by: Chen, Junyu, et al.
Published: (2024) -
Tensor-based Graph Learning with Consistency and Specificity for Multi-view Clustering
by: Shi, Long, et al.
Published: (2024) -
Towards Comprehensive Information-theoretic Multi-view Learning
by: Shi, Long, et al.
Published: (2025)