Two‐stage‐neighborhood‐based multilabel classification for incomplete data with missing labels
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22861
Abstract: In recent years, it has been difficult for multilabel classification to obtain complete multilabel data in real‐world applications, and even a large number of labels for training samples are randomly missed. As a result, the… read more here.
Keywords: classification; multilabel classification; two stage; missing labels ... See more keywords
Multilabel Feature Selection Using Mutual Information and ML-ReliefF for Multilabel Classification
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DOI: 10.1109/access.2020.3014916
Abstract: Recently, multilabel classification algorithms play an increasingly significant role in data mining and machine learning. However, some existing mutual information-based algorithms ignore the influence of the proportions of labels on the correlation degree between features… read more here.
Keywords: relieff; mutual information; multilabel classification; multilabel ... See more keywords
Transformer-Driven Semantic Relation Inference for Multilabel Classification of High-Resolution Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3145042
Abstract: It is hard to use a single label to describe an image for the complexity of remote sensing scenes. Thus, it is a more general and practical choice to use multilabel image classification for high-resolution… read more here.
Keywords: relation; semantic relation; multilabel; remote sensing ... See more keywords
SSL-MAE: Adaptive Semisupervised Learning Framework for Multilabel Classification of Remote Sensing Images Using Masked Autoencoders
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2025.3578196
Abstract: The increasing volume of remotely sensed imagery (RSI) requires efficient processing and extraction of meaningful information. Modern deep learning architectures excel in various tasks but typically require large labeled datasets, which are often scarce in… read more here.
Keywords: multilabel classification; framework; ssl mae; remote sensing ... See more keywords
End-to-End Learning for Radar Electronic Support: Multilabel Classification and Explainable AI
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2025.3562535
Abstract: The detection and classification of radar emitters from the electromagnetic spectrum is an essential task for electronic support. This article introduces an innovative method that directly estimates the radar emitters from the spectrogram of received… read more here.
Keywords: classification; multilabel classification; end end; electronic support ... See more keywords
Multilabel Classification With Label-Specific Features and Classifiers: A Coarse- and Fine-Tuned Framework
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2019.2932439
Abstract: Multilabel classification deals with instances assigned with multiple labels simultaneously. It focuses on learning a mapping from feature space to label a space for out-of-sample extrapolation. The mapping can be seen as a feature selection… read more here.
Keywords: fine tuned; specific features; label; multilabel classification ... See more keywords
The Use of a Multilabel Classification Framework for the Detection of Broken Bars and Mixed Eccentricity Faults Based on the Start-Up Transient
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2016.2637169
Abstract: In this paper, a data-driven approach for the classification of simultaneously occurring faults in an induction motor is presented. The problem is treated as a multilabel classification problem, with each label corresponding to one specific… read more here.
Keywords: mixed eccentricity; classification; framework; use multilabel ... See more keywords
Online Passive-Aggressive Multilabel Classification Algorithms.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3164906
Abstract: Most existing multilabel classification methods are batch learning methods, which may suffer from expensive retraining costs when dealing with new incoming data. In order to overcome the drawbacks of batch learning, we develop a family… read more here.
Keywords: multilabel classification; multilabel; classification algorithms; online passive ... See more keywords
Unified Graph-Based Missing Label Propagation Method for Multilabel Text Classification
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14020286
Abstract: In multilabel classification, each sample can be allocated to multiple class labels at the same time. However, one of the prominent problems of multilabel classification is missing labels (incomplete labels) in multilabel text. The multilabel… read more here.
Keywords: classification; multilabel classification; missing label; graph based ... See more keywords