Data imbalance in classification: Experimental evaluation

2019/11/11 by Fadi Thabtah, Suhel Hammoud, Firuz Kamalov +2 · 37 citations
Computer Science · Engineering · Business, Management and Accounting · #Imbalanced Data Classification Techniques #Electricity Theft Detection Techniques #Financial Distress and Bankruptcy Prediction

paper · doi:10.1016/j.ins.2019.11.004

Citations

• Two Modifications of CNN
• A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
• Asymptotic Properties of Nearest Neighbor Rules Using Edited Data

Cited by

• Inference of Wildfire Causes From Their Physical, Biological, Social and Management Attributes
• Functional Random Forest with Adaptive Cost-Sensitive Splitting for Imbalanced Functional Data Classification
• Designing and Generating Diverse, Equitable Face Image Datasets for Face Verification Tasks
• Class imbalance should not throw you off balance: Choosing the right classifiers and performance metrics for brain decoding with imbalanced data
• GLAN: Global Local Attention Network for Thoracic Disease Classification to Enhance Heart Failure Diagnosis
• Beyond Rebalancing: Benchmarking Binary Classifiers Under Class Imbalance Without Rebalancing Techniques
• A Classification Network With Coordinate and Class‐Specific Residual Attention for Accurate Detection of Heart Failure‐Related Findings in Chest X‐Rays
• Smart Data driven Decision Trees Ensemble Methodology for Imbalanced Big Data
• Genomics‐based plant disease resistance prediction using machine learning
• A statistical physics framework for optimal learning
• Data-Agnostic Cardinality Learning from Imperfect Workloads
• Quantum-Informed Contrastive Learning with Dynamic Mixup Augmentation for Class-Imbalanced Expert Systems
• Findings from machine learning in clinical medical imaging applications - Lessons for translation to the forensic setting. [europepmc]
• EEG in game user analysis: A framework for expertise classification during gameplay. [europepmc]
• Selective oversampling approach for strongly imbalanced data. [europepmc]
• Machine learning based approach to exam cheating detection. [europepmc]
• Improvement Using Planomics Features on Prediction and Classification of Patient-Specific Quality Assurance Using Head and Neck Volumetric Modulated Arc Therapy Plan. [europepmc]
• COVID-19 Pneumonia Detection Using Optimized Deep Learning Techniques. [europepmc]
• Wearable IMU-Based Human Activity Recognition Algorithm for Clinical Balance Assessment Using 1D-CNN and GRU Ensemble Model. [europepmc]
• Machine Learning Algorithms to Distinguish Myocardial Perfusion SPECT Polar Maps. [europepmc]
• Machine Learning-Based Performance Comparison to Diagnose Anterior Cruciate Ligament Tears. [europepmc]
• Prediction of Smoking Habits From Class-Imbalanced Saliva Microbiome Data Using Data Augmentation and Machine Learning. [europepmc]
• Autism screening: an unsupervised machine learning approach. [europepmc]
• Ransomware detection using deep learning based unsupervised feature extraction and a cost sensitive Pareto Ensemble classifier. [europepmc]
• Development of a Machine Learning-Based Screening Method for Thyroid Nodules Classification by Solving the Imbalance Challenge in Thyroid Nodules Data. [europepmc]
• Image Turing test and its applications on synthetic chest radiographs by using the progressive growing generative adversarial network. [europepmc]
• Assessing Autistic Traits in Toddlers Using a Data-Driven Approach with DSM-5 Mapping. [europepmc]
• Machine Learning-Based Early Warning Level Prediction for Cyanobacterial Blooms Using Environmental Variable Selection and Data Resampling. [europepmc]
• Dataset meta-level and statistical features affect machine learning performance. [europepmc]
• Automated classification of liver fibrosis stages using ultrasound imaging. [europepmc]
• Systematic review of machine learning in PTSD studies for automated diagnosis evaluation. [europepmc]
• Learning from Imbalanced Data: Integration of Advanced Resampling Techniques and Machine Learning Models for Enhanced Cancer Diagnosis and Prognosis. [europepmc]
• An interpretable and transparent machine learning framework for appendicitis detection in pediatric patients. [europepmc]
• Synthetic Boosted Resampling Using Deep Generative Adversarial Networks: A Novel Approach to Improve Cancer Prediction from Imbalanced Datasets. [europepmc]
• Utilizing machine learning-based QSAR model to overcome standalone consensus docking limitation in beta-lactamase inhibitors screening: a proof-of-concept study. [europepmc]
• Uncertainty-aware diabetic retinopathy detection using deep learning enhanced by Bayesian approaches. [europepmc]
• Biosensors, Artificial Intelligence Biosensors, False Results and Novel Future Perspectives. [europepmc]