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A Deep Ensemble Approach to Multi-Label Classification
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inferredcites →https://doi.org/10.1007/978-3-319-98131-4_4openalex-snapshot
Learning Interpretable Rules for Multi-Label Classification
inferredcites →https://doi.org/10.1007/s10115-024-02109-3openalex-snapshot
Biclustering-based multi-label classification
inferredcites →https://doi.org/10.1007/s10462-025-11388-3openalex-snapshot
CNNs, RNNs and Transformers in human action recognition: a survey and a hybrid model
inferredcites →https://doi.org/10.1007/s10489-024-05379-0openalex-snapshot
CoocNet: a novel approach to multi-label text classification with improved label co-occurrence modeling
inferredcites →https://doi.org/10.1007/s12530-025-09752-3openalex-snapshot
Incorporating manifold regularization into adaptive label thresholding algorithm for online semi-supervised multi-label classification
inferredcites →https://doi.org/10.1007/s13042-020-01114-6openalex-snapshot
ELM-MC: multi-label classification framework based on extreme learning machine
inferredcites →https://doi.org/10.1016/j.eswa.2013.10.030openalex-snapshot
Multi-label classification by exploiting label correlations
inferredcites →https://doi.org/10.1016/j.eswa.2014.06.015openalex-snapshot
Ensemble methods for multi-label classification
inferredcites →https://doi.org/10.1016/j.eswa.2016.03.041openalex-snapshot
Ensemble multi-label text categorization based on rotation forest and latent semantic indexing
inferredcites →https://doi.org/10.1016/j.eswa.2023.120627openalex-snapshot
Deep self-organizing cube: A novel multi-dimensional classifier for multiple output learning
inferredcites →https://doi.org/10.1016/j.eswa.2023.120887openalex-snapshot
An effective single-model learning for multi-label data
inferredcites →https://doi.org/10.1016/j.ins.2023.119698openalex-snapshot
Multi-label feature selection based on rough granular-ball and label distribution
inferredcites →https://doi.org/10.1016/j.ipm.2024.103952openalex-snapshot
Hierarchical multi-label text classification of tourism resources using a label-aware dual graph attention network
inferredcites →https://doi.org/10.1016/j.measurement.2024.115804openalex-snapshot
A novel multi-label classification deep learning method for hybrid fault diagnosis in complex industrial processes
inferredcites →https://doi.org/10.1016/j.neucom.2020.01.102openalex-snapshot
Comparison of base classifiers for multi-label learning
inferredcites →https://doi.org/10.1016/j.patcog.2016.07.009openalex-snapshot
Facial action unit recognition under incomplete data based on multi-label learning with missing labels
inferredcites →https://doi.org/10.1016/j.techfore.2022.122271openalex-snapshot
Research on multi-label user classification of social media based on ML-KNN algorithm
inferredcites →https://doi.org/10.1109/icpr48806.2021.9412974openalex-snapshot
Md-knn: An Instance-based Approach for Multi-Dimensional Classification
inferredcites →https://doi.org/10.1109/iscaie61308.2024.10576243openalex-snapshot
Resampling Methods for Imbalanced Datasets in Multi-Label Classification: A Review
inferredcites →https://doi.org/10.1145/3616111openalex-snapshot
EnML: Multi-label Ensemble Learning for Urdu Text Classification
inferredcites →https://doi.org/10.1609/aaai.v38i19.30157openalex-snapshot
Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy against Imbalance and Noise
inferredcites →https://doi.org/10.19153/cleiej.14.1.4openalex-snapshot
Multi-label Problem Transformation Methods: a Case Study
inferredcites →https://doi.org/10.4018/978-1-4666-5202-6.ch142openalex-snapshot
Multi-Label Classification
inferredcites →https://doi.org/10.4018/978-1-59904-951-9.ch006openalex-snapshot
Multi-Label Classification
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