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Bayesian Aggregation Improves Traditional Single-Image Crop Classification Approaches

Sensors (Basel, Switzerland), 2022-11, Vol.22 (22), p.8600

2022

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Multiclass Classification for Self-Admitted Technical Debt Based on XGBoost

IEEE transactions on reliability, 2022-09, Vol.71 (3), p.1309-1324

2022

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Safe-Level-SMOTE: Safe-Level-Synthetic Minority Over-Sampling TEchnique for Handling the Class Imbalanced Problem

Advances in Knowledge Discovery and Data Mining, p.475-482

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Imbalanced credit card fraud detection data: A solution based on hybrid neural network and clustering-based undersampling technique

Applied soft computing, 2024-03, Vol.154, p.111368, Article 111368

2024

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An end-to-end lower limb activity recognition framework based on sEMG data augmentation and enhanced CapsNet

Expert systems with applications, 2023-10, Vol.227, p.120257, Article 120257

2023

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OUBoost: boosting based over and under sampling technique for handling imbalanced data

International journal of machine learning and cybernetics, 2023-10, Vol.14 (10), p.3393-3411

2023

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AMDO: An Over-Sampling Technique for Multi-Class Imbalanced Problems

IEEE transactions on knowledge and data engineering, 2018-09, Vol.30 (9), p.1672-1685

2018

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Voxelwise detection of cerebral microbleed in CADASIL patients by leaky rectified linear unit and early stopping

Multimedia tools and applications, 2018-09, Vol.77 (17), p.21825-21845

2018

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Evolutionary under-sampling based bagging ensemble method for imbalanced data classification

Frontiers of Computer Science, 2018-04, Vol.12 (2), p.331-350

2018

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Multitask Balanced and Recalibrated Network for Medical Code Prediction

ACM transactions on intelligent systems and technology, 2022-11, Vol.14 (1), p.1-20, Article 17

2022

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ConvNet-based performers attention and supervised contrastive learning for activity recognition

Applied intelligence (Dordrecht, Netherlands), 2023-04, Vol.53 (8), p.8809-8825

2023

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Oversampling technique based on fuzzy representativeness difference for classifying imbalanced data

Applied intelligence (Dordrecht, Netherlands), 2020-08, Vol.50 (8), p.2465-2487

2020

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MULTILABEL OVER-SAMPLING AND UNDER-SAMPLING WITH CLASS ALIGNMENT FOR IMBALANCED MULTILABEL TEXT CLASSIFICATION

Journal of ICT, 2021-07, Vol.20 (3), p.423-456

2021

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Entropy-Based Classifier Enhancement to Handle Imbalanced Class Problem

Procedia computer science, 2017, Vol.104, p.586-591

2017

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Detection of Korean Phishing Messages Using Biased Discriminant Analysis under Extreme Class Imbalance Problem

Information (Basel), 2024-05, Vol.15 (5), p.265

2024

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A Membership Probability–Based Undersampling Algorithm for Imbalanced Data

Journal of classification, 2021-04, Vol.38 (1), p.2-15

2021

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Consumer loans’ first payment default detection: a predictive model

TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, 2020-01, Vol.28 (1), p.167-181

2020

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Cost-sensitive large margin distribution machine for fault detection of wind turbines

Cluster computing, 2019-05, Vol.22 (Suppl 3), p.7525-7537

2019

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Rough-Fuzzy Based Synthetic Data Generation Exploring Boundary Region of Rough Sets to Handle Class Imbalance Problem

Axioms, 2023-04, Vol.12 (4), p.345

2023

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Semi-supervised Learning for Instrument Detection with a Class Imbalanced Dataset

Interpretable and Annotation-Efficient Learning for Medical Image Computing, p.266-276

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Leveraging LSTM for rapid intensifications prediction of tropical cyclones

ISPRS annals of the photogrammetry, remote sensing and spatial information sciences, 2017-10, Vol.IV-4/W2, p.101-105

2017

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Data Mining for Delamination Diagnosis in the Semiconductor Assembly Process

Procedia manufacturing, 2017, Vol.11, p.1976-1983

2017

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An Improved Random Forest Algorithm for Class-Imbalanced Data Classification and its Application in PAD Risk Factors Analysis

The open electrical and electronic engineering journal, 2013-06, Vol.7 (1), p.62-70

2013

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Classification of Imbalanced Data by Combining the Complementary Neural Network and SMOTE Algorithm

Neural Information Processing. Models and Applications, p.152-159

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Multi-class Pattern Classification in Imbalanced Data

2010 20th International Conference on Pattern Recognition, 2010, p.2881-2884

2010

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Bayesian Aggregation Improves Traditional Single-Image Crop Classification Approaches

Multiclass Classification for Self-Admitted Technical Debt Based on XGBoost

Safe-Level-SMOTE: Safe-Level-Synthetic Minority Over-Sampling TEchnique for Handling the Class Imbalanced Problem

Imbalanced credit card fraud detection data: A solution based on hybrid neural network and clustering-based undersampling technique

An end-to-end lower limb activity recognition framework based on sEMG data augmentation and enhanced CapsNet

OUBoost: boosting based over and under sampling technique for handling imbalanced data

AMDO: An Over-Sampling Technique for Multi-Class Imbalanced Problems

Voxelwise detection of cerebral microbleed in CADASIL patients by leaky rectified linear unit and early stopping

Evolutionary under-sampling based bagging ensemble method for imbalanced data classification

Multitask Balanced and Recalibrated Network for Medical Code Prediction

ConvNet-based performers attention and supervised contrastive learning for activity recognition

Oversampling technique based on fuzzy representativeness difference for classifying imbalanced data

MULTILABEL OVER-SAMPLING AND UNDER-SAMPLING WITH CLASS ALIGNMENT FOR IMBALANCED MULTILABEL TEXT CLASSIFICATION

Entropy-Based Classifier Enhancement to Handle Imbalanced Class Problem

Detection of Korean Phishing Messages Using Biased Discriminant Analysis under Extreme Class Imbalance Problem

A Membership Probability–Based Undersampling Algorithm for Imbalanced Data

Consumer loans’ first payment default detection: a predictive model

Cost-sensitive large margin distribution machine for fault detection of wind turbines

Rough-Fuzzy Based Synthetic Data Generation Exploring Boundary Region of Rough Sets to Handle Class Imbalance Problem

Semi-supervised Learning for Instrument Detection with a Class Imbalanced Dataset

Leveraging LSTM for rapid intensifications prediction of tropical cyclones

Data Mining for Delamination Diagnosis in the Semiconductor Assembly Process

An Improved Random Forest Algorithm for Class-Imbalanced Data Classification and its Application in PAD Risk Factors Analysis

Classification of Imbalanced Data by Combining the Complementary Neural Network and SMOTE Algorithm

Multi-class Pattern Classification in Imbalanced Data

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