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   Articles with "multilabel" as a keyword



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Multilabel Feature Selection Using Mutual Information and ML-ReliefF for Multilabel Classification

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recommendations! Published in 2020 at "IEEE Access"

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
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Transformer-Driven Semantic Relation Inference for Multilabel Classification of High-Resolution Remote Sensing Images

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recommendations! 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
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Robust Online Multilabel Learning Under Dynamic Changes in Data Distribution With Labels

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recommendations! Published in 2020 at "IEEE Transactions on Cybernetics"

DOI: 10.1109/tcyb.2018.2869476

Abstract: In this paper, a robust online multilabel learning method dealing with dynamically changing multilabel data streams is proposed. The proposed method has three advantages: 1) higher accuracy due to a newly defined objective function based… read more here.

Keywords: multilabel; robust online; online multilabel; data distribution ... See more keywords

Multilabel Sample Augmentation-Based Hyperspectral Image Classification

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recommendations! Published in 2020 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2019.2962014

Abstract: The quantity and quality of training samples have a great influence on the performance of most hyperspectral image classification approaches. However, in a real scenario, manually annotating a large number of accurate training samples is… read more here.

Keywords: hyperspectral image; multilabel; training; image classification ... See more keywords
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Degradation State Partition and Compound Fault Diagnosis of Rolling Bearing Based on Personalized Multilabel Learning

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recommendations! Published in 2021 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2021.3091504

Abstract: The prognostic and health management (PHM) of rolling bearings has been a popular research area. Since bearing fault is inevitable during degradation, how to improve the PHM performance based on both degradation states and fault… read more here.

Keywords: multilabel; multilabel learning; degradation; phm ... See more keywords
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A Novel Interpretable Method Based on Dual-Level Attentional Deep Neural Network for Actual Multilabel Arrhythmia Detection

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recommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2021.3135330

Abstract: Arrhythmia accounts for more than 80% of sudden cardiac death, and its incidence rate has increased rapidly recently. Nowadays, many studies have applied artificial intelligence (AI) methods to arrhythmia detection. Deep learning approaches can improve… read more here.

Keywords: arrhythmia detection; arrhythmia; multilabel; dual level ... See more keywords
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Online Passive-Aggressive Multilabel Classification Algorithms.

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recommendations! 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
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Lateral elbow tendinopathy and artificial intelligence: Binary and multilabel findings detection using machine learning algorithms

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recommendations! Published in 2022 at "Frontiers in Medicine"

DOI: 10.3389/fmed.2022.945698

Abstract: Background Ultrasound (US) is a valuable technique to detect degenerative findings and intrasubstance tears in lateral elbow tendinopathy (LET). Machine learning methods allow supporting this radiological diagnosis. Aim To assess multilabel classification models using machine… read more here.

Keywords: accuracy; machine learning; binary multilabel; intrasubstance ... See more keywords
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Multilabel convolution neural network for facial expression recognition and ordinal intensity estimation

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recommendations! Published in 2021 at "PeerJ Computer Science"

DOI: 10.7717/peerj-cs.736

Abstract: Facial Expression Recognition (FER) has gained considerable attention in affective computing due to its vast area of applications. Diverse approaches and methods have been considered for a robust FER in the field, but only a… read more here.

Keywords: intensity estimation; expression; multilabel; intensity ... See more keywords