Interactive Causal Correlation Space Reshape for Multi-Label Classification

Interactive Causal Correlation Space Reshape for Multi-Label Classification

Most existing multi-label classification models focus on distance metrics and feature spare strategies to extract specific features of labels. Those models use the cosine similarity to construct the label correlation matrix to constraint solution space, and then mine the latent semantic information...

Descrizione completa

Dettagli Bibliografici
Autori principali:	Chao Zhang, Yusheng Cheng, Yibin Wang, Yuting Xu
Natura:	Articolo
Lingua:	English
Pubblicazione:	Universidad Internacional de La Rioja (UNIR) 2022-09-01
Serie:	International Journal of Interactive Multimedia and Artificial Intelligence
Soggetti:	conditional probability interactive causal inference label co-occurrence label space reshape multi-label classification
Accesso online:	https://www.ijimai.org/journal/bibcite/reference/3159

Documenti analoghi

Application of Label Correlation in Multi-Label Classification: A Survey
di: Shan Huang, et al.
Pubblicazione: (2024-10-01)

Robust Multi-Label Classification with Enhanced Global and Local Label Correlation
di: Tianna Zhao, et al.
Pubblicazione: (2022-05-01)

Soft-label recover based label-specific features learning
di: Jiansheng Jiang, et al.
Pubblicazione: (2024-10-01)

ATC-NLSP: Prediction of the Classes of Anatomical Therapeutic Chemicals Using a Network-Based Label Space Partition Method
di: Xiangeng Wang, et al.
Pubblicazione: (2019-09-01)

Joint Label-Density-Margin Space and Extreme Elastic Net for Label-Specific Features
di: Gensheng Pei, et al.
Pubblicazione: (2019-01-01)

A multi-label classification method for disposing incomplete labeled data and label relevance
di: Lina ZHANG, et al.
Pubblicazione: (2016-08-01)

A multi-label classification method for disposing incomplete labeled data and label relevance
di: Lina ZHANG, et al.
Pubblicazione: (2016-08-01)

Updating Correlation-Enhanced Feature Learning for Multi-Label Classification
di: Zhengjuan Zhou, et al.
Pubblicazione: (2024-07-01)

Reducing the Label Space a Predefined Ratio for a More Efficient Multilabel Classification
di: Jose M. Moyano, et al.
Pubblicazione: (2022-01-01)

Partial Classifier Chains with Feature Selection by Exploiting Label Correlation in Multi-Label Classification
di: Zhenwu Wang, et al.
Pubblicazione: (2020-10-01)

Multi-label Classification Based on Label-Aware Variational Autoencoder
di: SUN Hongjian, XU Pengyu, LIU Bing, JING Liping, YU Jian
Pubblicazione: (2025-03-01)

Learning Common and Label-Specific Features for Multi-Label Classification With Missing Labels
di: Runxin Li, et al.
Pubblicazione: (2024-01-01)

PartLabeling: A Label Management Framework in 3D Space
di: Semir Elezovikj, et al.
Pubblicazione: (2023-12-01)

A Comparative Study of Multi-Label Classification for Document Labeling in Ethical Protocol Review
di: Rizka Wakhidatus Sholikah, et al.
Pubblicazione: (2022-05-01)

Contrastive Enhanced Learning for Multi-Label Text Classification
di: Tianxiang Wu, et al.
Pubblicazione: (2024-09-01)

Multi-Label Image Classification with Weak Correlation Prior
di: Xiao Ouyang, et al.
Pubblicazione: (2022-09-01)

Improving Multi-Label Learning by Correlation Embedding
di: Jun Huang, et al.
Pubblicazione: (2021-12-01)

Identification of protein functions in mouse with a label space partition method
di: Xuan Li, et al.
Pubblicazione: (2022-02-01)

Typicality- and instance-dependent label noise-combating: a novel framework for simulating and combating real-world noisy labels for endoscopic polyp classification
di: Yun Gao, et al.
Pubblicazione: (2024-05-01)

Sumav: Fully automated malware labeling
di: Sangwon Kim, et al.
Pubblicazione: (2022-12-01)

MLGN:A Multi-Label Guided Network for Improving Text Classification
di: Qiang Liu, et al.
Pubblicazione: (2023-01-01)

Exploring Common and Label-Specific Features for Multi-Label Learning With Local Label Correlations
di: Yunzhi Ling, et al.
Pubblicazione: (2020-01-01)

An empirical study of problems and evaluation of IoT malware classification label sources
di: Tianwei Lei, et al.
Pubblicazione: (2024-01-01)

Multi-Label Learning via Feature and Label Space Dimension Reduction
di: Jun Huang, et al.
Pubblicazione: (2020-01-01)

--supermagic labeling of graphs
di: C. Chithra, et al.
Pubblicazione: (2020-01-01)

Improving Neural Network-Based Multi-Label Classification With Pattern Loss Penalties
di: Worawith Sangkatip, et al.
Pubblicazione: (2024-01-01)

Addressing Imbalance Problem for Multi Label Classification of Scholarly Articles
di: Aiman Hafeez, et al.
Pubblicazione: (2023-01-01)

Learning label smoothing for text classification
di: Han Ren, et al.
Pubblicazione: (2024-04-01)

A Hybrid BERT Model That Incorporates Label Semantics via Adjustive Attention for Multi-Label Text Classification
di: Linkun Cai, et al.
Pubblicazione: (2020-01-01)

Multi-Label Learning With Label Specific Features Using Correlation Information
di: Huirui Han, et al.
Pubblicazione: (2019-01-01)

Double Attention for Multi-Label Image Classification
di: Haiying Zhao, et al.
Pubblicazione: (2020-01-01)

Exploiting Category Similarity-Based Distributed Labeling for Fine-Grained Visual Classification
di: Pengzhen Du, et al.
Pubblicazione: (2020-01-01)

From Scores to Predictions in Multi-Label Classification: Neural Thresholding Strategies
di: Karol Draszawka, et al.
Pubblicazione: (2023-06-01)

Exploiting Associations between Class Labels in Multi-label Classification
di: Z. Mirzamomen, et al.
Pubblicazione: (2019-03-01)

Multi-Scale Annulus Clustering for Multi-Label Classification
di: Yan Liu, et al.
Pubblicazione: (2023-04-01)

MLAWSMOTE: Oversampling in Imbalanced Multi-label Classification with Missing Labels by Learning Label Correlation Matrix
di: Jian Mao, et al.
Pubblicazione: (2024-08-01)

Learning Accurate Pseudo-Labels via Feature Similarity in the Presence of Label Noise
di: Peng Wang, et al.
Pubblicazione: (2024-03-01)

Energy of binary labeled graphs
di: Pradeep G. Bhat, et al.
Pubblicazione: (2013-09-01)

Matching-Type Image-Labelings of Trees
di: Jing Su, et al.
Pubblicazione: (2021-06-01)

Hierarchical multi-label news article classification with distributed semantic model based features
di: Ivana Clairine Irsan, et al.
Pubblicazione: (2019-03-01)