Navigating sentiment analysis through fusion, learning, utterance, and attention Methods: An extensive four-fold perspective survey DOI

Bhavana Verma,

Priyanka Meel, Dinesh Kumar Vishwakarma

и другие.

Engineering Applications of Artificial Intelligence, Год журнала: 2025, Номер 156, С. 111195 - 111195

Опубликована: Май 30, 2025

Язык: Английский

Label distribution feature selection based on hierarchical structure and neighborhood granularity DOI

Xiwen Lu,

Wenbin Qian,

Shiming Dai

и другие.

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

Опубликована: Июль 20, 2024

Язык: Английский

Процитировано

4

Surface electromyography based explainable Artificial Intelligence fusion framework for feature selection of hand gesture recognition DOI
Naveen Gehlot, Ashutosh Jena, Ankit Vijayvargiya

и другие.

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

Опубликована: Авг. 12, 2024

Язык: Английский

Процитировано

4

Multi-level information fusion for missing multi-label learning based on stochastic concept clustering DOI
Zhiming Liu, Jinhai Li, Xiao Zhang

и другие.

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

Опубликована: Ноя. 2, 2024

Язык: Английский

Процитировано

4

Partial Multilabel Learning Using Noise-Tolerant Broad Learning System With Label Enhancement and Dimensionality Reduction DOI
Wenbin Qian, Yanqiang Tu, Jintao Huang

и другие.

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

Процитировано

3

A heterogeneous transfer learning method for fault prediction of railway track circuit DOI
Lan Na, Baigen Cai, Chongzhen Zhang

и другие.

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

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

3

Incomplete Multi-view Feature Selection with Adaptive Consensus Graph Constraint for Parkinson's Disease Diagnosis DOI
Zhongwei Huang, Jianqiang Li, Jun Wan

и другие.

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

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

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

Zahra Mehravaran,

Ahad Harati

и другие.

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

Опубликована: Янв. 22, 2025

Язык: Английский

Процитировано

0

Multi-label feature selection via nonlinear mapping and manifold regularization DOI
Yan Wang, Changzhong Wang, Tingquan Deng

и другие.

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

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Class label fusion guided correlation learning for incomplete multi-label classification DOI
Qingwei Jia, Tingquan Deng, Ming Yang

и другие.

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

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Dual-granularity multi-instance multi-label learning with variational autoencoder DOI
Meixia Wang, Yuhai Zhao, Yejiang Wang

и другие.

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

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0