Label distribution feature selection based on hierarchical structure and neighborhood granularity

Information Fusion, Год журнала: 2024, Номер 112, С. 102588 - 102588

Опубликована: Июль 20, 2024

Язык: Английский

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Surface electromyography based explainable Artificial Intelligence fusion framework for feature selection of hand gesture recognition

Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 137, С. 109119 - 109119

Опубликована: Авг. 12, 2024

Язык: Английский

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Multi-level information fusion for missing multi-label learning based on stochastic concept clustering

Information Fusion, Год журнала: 2024, Номер 115, С. 102775 - 102775

Опубликована: Ноя. 2, 2024

Язык: Английский

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Partial Multilabel Learning Using Noise-Tolerant Broad Learning System With Label Enhancement and Dimensionality Reduction

IEEE Transactions on Neural Networks and Learning Systems, Год журнала: 2024, Номер 36(2), С. 3758 - 3772

Опубликована: Янв. 30, 2024

Partial multilabel learning (PML) addresses the issue of noisy supervision, which contains an overcomplete set candidate labels for each instance with only a valid subset training data. Using label enhancement techniques, researchers have computed probability being ground truth. However, enhancing in space makes it impossible existing partial methods to achieve satisfactory results. Besides, few simultaneously involve ambiguity problem, feature space's redundancy, and model's efficiency PML. To address these issues, this article presents novel joint framework using broad systems (namely BLS-PML) three innovative mechanisms: 1) trustworthy is reconstructed through method avoid bias caused by labels; 2) low-dimensional obtained confidence-based dimensionality reduction reduce effect redundancy space; 3) noise-tolerant BLS proposed adding layer deal PML problem. We evaluated on six real-world seven synthetic datasets, eight state-of-the-art algorithms as baselines evaluation metrics. Out 144 experimental scenarios, our significantly outperforms about 80%, demonstrating its robustness effectiveness handling tasks.

Язык: Английский

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A heterogeneous transfer learning method for fault prediction of railway track circuit

Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 140, С. 109740 - 109740

Опубликована: Дек. 1, 2024

Язык: Английский

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Incomplete Multi-view Feature Selection with Adaptive Consensus Graph Constraint for Parkinson's Disease Diagnosis

Applied Soft Computing, Год журнала: 2025, Номер unknown, С. 112739 - 112739

Опубликована: Янв. 1, 2025

Язык: Английский

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Feature selection by utilizing kernel-based fuzzy rough set and entropy-based non-dominated sorting genetic algorithm in multi-label data

Knowledge and Information Systems, Год журнала: 2025, Номер unknown

Опубликована: Янв. 22, 2025

Язык: Английский

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Multi-label feature selection via nonlinear mapping and manifold regularization

Information Sciences, Год журнала: 2025, Номер unknown, С. 121965 - 121965

Опубликована: Фев. 1, 2025

Язык: Английский

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Class label fusion guided correlation learning for incomplete multi-label classification

Information Fusion, Год журнала: 2025, Номер unknown, С. 103072 - 103072

Опубликована: Март 1, 2025

Язык: Английский

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Dual-granularity multi-instance multi-label learning with variational autoencoder

Knowledge-Based Systems, Год журнала: 2025, Номер unknown, С. 113317 - 113317

Опубликована: Март 1, 2025

Язык: Английский

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