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Improving Ranking-Oriented Defect Prediction Using a Cost-Sensitive Ranking SVM

IEEE transactions on reliability, 2020-03, Vol.69 (1), p.139-153

2020

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Mitigating Imbalance of Land Cover Change Data for Deep Learning Models with Temporal and Spatiotemporal Sample Weighting Schemes

ISPRS international journal of geo-information, 2022-12, Vol.11 (12), p.587

2022

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Regularization oversampling for classification tasks: To exploit what you do not know

Information sciences, 2023-07, Vol.635, p.169-194

2023

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A Systematic Review on Imbalanced Data Challenges in Machine Learning: Applications and Solutions

ACM computing surveys, 2020-07, Vol.52 (4), p.1-36

2020

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Big Data Preprocessing: Enabling Smart Data

1st ed. 2020., 2020

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Bankruptcy prediction for SMEs using transactional data and two-stage multiobjective feature selection

Decision Support Systems, 2021-01, Vol.140, p.113429, Article 113429

2021

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Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data

IEEE transaction on neural networks and learning systems, 2018-08, Vol.29 (8), p.3573-3587

2018

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Malicious code detection based on CNNs and multi-objective algorithm

Journal of parallel and distributed computing, 2019-07, Vol.129, p.50-58

2019

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Intelligent fault diagnosis of rolling bearings based on normalized CNN considering data imbalance and variable working conditions

Knowledge-based systems, 2020-07, Vol.199, p.105971, Article 105971

2020

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Least squares KNN-based weighted multiclass twin SVM

Neurocomputing (Amsterdam), 2021-10, Vol.459, p.454-464

2021

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A Novel Method for Imbalanced Fault Diagnosis of Rotating Machinery Based on Generative Adversarial Networks

IEEE transactions on instrumentation and measurement, 2021, Vol.70, p.1-17

2021

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Dynamically Weighted Balanced Loss: Class Imbalanced Learning and Confidence Calibration of Deep Neural Networks

IEEE transaction on neural networks and learning systems, 2022-07, Vol.PP (7), p.1-12

2022

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Handling imbalance dataset issue in insider threat detection using machine learning methods

Computers & electrical engineering, 2024-12, Vol.120, p.109726, Article 109726

2024

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Design of classification model on high-dimensional imbalance data of motor bearing fault

Journal of physics. Conference series, 2021-11, Vol.2083 (3), p.32062

2021

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A Novel Focal Tversky Loss Function With Improved Attention U-Net for Lesion Segmentation

2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019, p.683-687

2019

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Improved Generative Adversarial Network for Bearing Fault Diagnosis with a Small Number of Data and Unbalanced Data

Symmetry (Basel), 2024-03, Vol.16 (3), p.358

2024

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Problem of data imbalance in building energy load prediction: Concept, influence, and solution

Applied energy, 2021-09, Vol.297, p.117139, Article 117139

2021

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Kmeans-SMOTE Integration for Handling Imbalance Data in Classifying Financial Distress Companies using SVM and Naïve Bayes

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) (Online), 2024-02, Vol.8 (1), p.54-61

2024

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Deep Integration: A Multi-Label Architecture for Road Scene Recognition

IEEE transactions on image processing, 2019-10, Vol.28 (10), p.4883-4898

2019

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Imbalanced segmentation for abnormal cotton fiber based on GAN and multiscale residual U-Net

Alexandria engineering journal, 2024-11, Vol.106, p.25-41

2024

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FEATURE SUB-SPACING BASED STACKING FOR EFFECTIVE IMBALANCE HANDLING IN SENSITIVE DATA

ICTACT journal on soft computing, 2021-10, Vol.12 (1), p.2510-2514

2021

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UNBALANCED MULTICLASS CLASSIFICATION WITH ADAPTIVE SYNTHETIC MULTINOMIAL NAIVE BAYES APPROACH

Informatyka, automatyka, pomiary w gospodarce i ochronie środowiska, 2023-09, Vol.13 (3), p.64-70

2023

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Enhancing cross-domain robustness in phonocardiogram signal classification using domain-invariant preprocessing and transfer learning

Computer methods and programs in biomedicine, 2024-10, p.108462, Article 108462

2024

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An improved learning-based LSTM approach for lane change intention prediction subject to imbalanced data

Transportation research. Part C, Emerging technologies, 2021-12, Vol.133, p.103414, Article 103414

2021

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Evidential reasoning based ensemble classifier for uncertain imbalanced data

Information sciences, 2021-11, Vol.578, p.378-400

2021

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Improving Ranking-Oriented Defect Prediction Using a Cost-Sensitive Ranking SVM

Mitigating Imbalance of Land Cover Change Data for Deep Learning Models with Temporal and Spatiotemporal Sample Weighting Schemes

Regularization oversampling for classification tasks: To exploit what you do not know

A Systematic Review on Imbalanced Data Challenges in Machine Learning: Applications and Solutions

Big Data Preprocessing: Enabling Smart Data

Bankruptcy prediction for SMEs using transactional data and two-stage multiobjective feature selection

Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data

Malicious code detection based on CNNs and multi-objective algorithm

Intelligent fault diagnosis of rolling bearings based on normalized CNN considering data imbalance and variable working conditions

Least squares KNN-based weighted multiclass twin SVM

A Novel Method for Imbalanced Fault Diagnosis of Rotating Machinery Based on Generative Adversarial Networks

Dynamically Weighted Balanced Loss: Class Imbalanced Learning and Confidence Calibration of Deep Neural Networks

Handling imbalance dataset issue in insider threat detection using machine learning methods

Design of classification model on high-dimensional imbalance data of motor bearing fault

A Novel Focal Tversky Loss Function With Improved Attention U-Net for Lesion Segmentation

Improved Generative Adversarial Network for Bearing Fault Diagnosis with a Small Number of Data and Unbalanced Data

Problem of data imbalance in building energy load prediction: Concept, influence, and solution

Kmeans-SMOTE Integration for Handling Imbalance Data in Classifying Financial Distress Companies using SVM and Naïve Bayes

Deep Integration: A Multi-Label Architecture for Road Scene Recognition

Imbalanced segmentation for abnormal cotton fiber based on GAN and multiscale residual U-Net

FEATURE SUB-SPACING BASED STACKING FOR EFFECTIVE IMBALANCE HANDLING IN SENSITIVE DATA

UNBALANCED MULTICLASS CLASSIFICATION WITH ADAPTIVE SYNTHETIC MULTINOMIAL NAIVE BAYES APPROACH

Enhancing cross-domain robustness in phonocardiogram signal classification using domain-invariant preprocessing and transfer learning

An improved learning-based LSTM approach for lane change intention prediction subject to imbalanced data

Evidential reasoning based ensemble classifier for uncertain imbalanced data

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