Active Balancing Mechanism for Imbalanced Medical Data in Deep Learning–Based Classification Models

Automated interpretable detection of myocardial infarction fusing energy entropy and morphological features

(2019) Chuang Han et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Applying Deep Learning for Epilepsy Seizure Detection and Brain Mapping Visualization

(2019) M. Shamim Hossain et al.   ACM Transactions on Multimedia Computing Communications and Applications

SSOMaj-SMOTE-SSOMin: Three-step intelligent pruning of majority and minority samples for learning from imbalanced datasets

(2019) Seba Susan et al.   APPLIED SOFT COMPUTING

Classification of myocardial infarction with multi-lead ECG signals and deep CNN

(2019) Ulas Baran Baloglu et al.   PATTERN RECOGNITION LETTERS

Fuzzy Support Vector Machine With Relative Density Information for Classifying Imbalanced Data

(2019) Hualong Yu et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Driving Safety Risk Prediction Using Cost-Sensitive With Nonnegativity-Constrained Autoencoders Based on Imbalanced Naturalistic Driving Data

(2019) Jie Chen et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Ensemble of Deep Models for Event Recognition

(2018) Kashif Ahmad et al.   ACM Transactions on Multimedia Computing Communications and Applications

A robust fuzzy least squares twin support vector machine for class imbalance learning

(2018) B. Richhariya et al.   APPLIED SOFT COMPUTING

A deep learning-based multi-model ensemble method for cancer prediction

(2018) Yawen Xiao et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Progressive boosting for class imbalance and its application to face re-identification

(2018) Roghayeh Soleymani et al.   EXPERT SYSTEMS WITH APPLICATIONS

Optimization of signal quality over comfortability of textile electrodes for ECG monitoring in fog computing based medical applications

(2018) Wanqing Wu et al.   Future Generation Computer Systems-The International Journal of eScience

Heart-Beats Based Biometric Random Binary Sequences Generation to Secure Wireless Body Sensor Networks

(2018) Sandeep Pirbhulal et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Automated Identification of Myocardial Infarction Using Harmonic Phase Distribution Pattern of ECG Data

(2018) Deboleena Sadhukhan et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Cost-sensitive and hybrid-attribute measure multi-decision tree over imbalanced data sets

(2018) Fenglian Li et al.   INFORMATION SCIENCES

A Cost-Sensitive Deep Belief Network for Imbalanced Classification

(2018) Chong Zhang et al.   IEEE Transactions on Neural Networks and Learning Systems

Quantitative Assessment for Self-Tracking of Acute Stress based on Triangulation Principle in a Wearable Sensor System

(2018) Wanqing Wu et al.   IEEE Journal of Biomedical and Health Informatics

Under-sampling class imbalanced datasets by combining clustering analysis and instance selection

(2018) Chih-Fong Tsai et al.   INFORMATION SCIENCES

Learning from class-imbalanced data: Review of methods and applications

(2017) Guo Haixiang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Deep learning ensembles for melanoma recognition in dermoscopy images

(2017) N. C. F. Codella et al.   IBM JOURNAL OF RESEARCH AND DEVELOPMENT

A Distance-Based Weighted Undersampling Scheme for Support Vector Machines and its Application to Imbalanced Classification

(2017) Qi Kang et al.   IEEE Transactions on Neural Networks and Learning Systems

Adaptive semi-unsupervised weighted oversampling (A-SUWO) for imbalanced datasets

(2016) Iman Nekooeimehr et al.   EXPERT SYSTEMS WITH APPLICATIONS

A Novel Secure IoT-Based Smart Home Automation System Using a Wireless Sensor Network

(2016) Sandeep Pirbhulal et al.   SENSORS

Assessment of Biofeedback Training for Emotion Management Through Wearable Textile Physiological Monitoring System

(2015) Wanqing Wu et al.   IEEE SENSORS JOURNAL

Parallel selective sampling method for imbalanced and large data classification

(2015) Annarita D’Addabbo et al.   PATTERN RECOGNITION LETTERS

Adjusted F-measure and kernel scaling for imbalanced data learning

(2013) Antonio Maratea et al.   INFORMATION SCIENCES

Cluster-based under-sampling approaches for imbalanced data distributions

(2008) Show-Jane Yen et al.   EXPERT SYSTEMS WITH APPLICATIONS