Articles

Identification of Orphan Genes in Unbalanced Datasets Based on Ensemble Learning

in Systems Biology Archive

• Qijuan Gao
• Xiu Jin
• Enhua Xia
• Xiangwei Wu
• Lichuan Gu
• Hanwei Yan
• Yingchun Xia
• Shaowen Li

Parkinson's disease resting tremor severity classification using machine learning with resampling techniques

in Neurodegeneration

• Asma Channa
• Oana Cramariuc
• Madeha Memon
• Nirvana Popescu
• Nadia Mammone
• Giuseppe Ruggeri

Over- and Under-sampling Approach for Extremely Imbalanced and Small Minority Data Problem in Health Record Analysis

in Digital Public Health

• Koichi Fujiwara
• Yukun Huang
• Kentaro Hori
• Kenichi Nishioji
• Masao Kobayashi
• Mai Kamaguchi
• Manabu Kano

A review on over-sampling techniques in classification of multi-class imbalanced datasets: insights for medical problems

in Health Informatics

• Yuxuan Yang
• Hadi Akbarzadeh Khorshidi
• Uwe Aickelin

Synthetic minority over-sampling technique-enhanced machine learning models for predicting recurrence of postoperative chronic subdural hematoma

in Neurotrauma

• Zhihui Ni
• Yehao Zhu
• Yiwei Qian
• Xinbo Li
• Zhenqiu Xing
• Yinan Zhou
• Yu Chen
• Lijie Huang
• Jianjing Yang
• Qichuan Zhuge

An Improved Deep Learning Model: S-TextBLCNN for Traditional Chinese Medicine Formula Classification

in Computational Genomics

• Ning Cheng
• Yue Chen
• Wanqing Gao
• Jiajun Liu
• Qunfu Huang
• Cheng Yan
• Xindi Huang
• Changsong Ding

Development and validation of prediction models for hypertension risks: A cross-sectional study based on 4,287,407 participants

in Hypertension

• Weidong Ji
• Yushan Zhang
• Yinlin Cheng
• Yushan Wang
• Yi Zhou

Comparison of Resampling Techniques for Imbalanced Datasets in Machine Learning: Application to Epileptogenic Zone Localization From Interictal Intracranial EEG Recordings in Patients With Focal Epilepsy

• Giulia Varotto
• Gianluca Susi
• Laura Tassi
• Francesca Gozzo
• Silvana Franceschetti
• Ferruccio Panzica

S-DCNN: prediction of ATP binding residues by deep convolutional neural network based on SMOTE

in Computational Genomics

• Sixi Hao
• Cai-Yan Li
• Xiuzhen Hu
• Zhenxing Feng
• Gaimei Zhang
• Caiyun Yang
• Huimin Hu

Effect of De-noising by Wavelet Filtering and Data Augmentation by Borderline SMOTE on the Classification of Imbalanced Datasets of Pig Behavior

in Precision Livestock Farming

• Min Jin
• Chunguang Wang
• Dan Børge Jensen

Tackling unbalanced datasets for yellow and brown rust detection in wheat

in Technical Advances in Plant Science

• Carmen Cuenca-Romero
• Orly Enrique Apolo-Apolo
• Jaime Nolasco Rodríguez Vázquez
• Gregorio Egea
• Manuel Pérez-Ruiz

Enhanced feature selection and ensemble learning for cardiovascular disease prediction: hybrid GOL2-2 T and adaptive boosted decision fusion with babysitting refinement

in Precision Medicine

• S. Phani Praveen
• Mohammad Kamrul Hasan
• Siti Norul Huda Sheikh Abdullah
• Uddagiri Sirisha
• N. S. Koti Mani Kumar Tirumanadham
• Shayla Islam
• Fatima Rayan Awad Ahmed
• Thowiba E. Ahmed
• Ayman Afrin Noboni
• Gabriel Avelino Sampedro

The classification method of donkey breeds based on SNPs data and machine learning

in Statistical Genetics and Methodology

• Dekui Li
• Xiaolong Hu
• Yongdong Peng

A stacked learning framework for accurate classification of polycystic ovary syndrome with advanced data balancing and feature selection techniques

in Computational Physiology and Medicine

• Heba M. Emara
• Walid El-Shafai
• Naglaa F. Soliman
• Abeer D. Algarni
• Reem Alkanhel
• Fathi E. Abd El-Samie

Freeway traffic state classification using vehicle trajectory data

in Transportation Systems Modeling

• Rende Cheng
• An Liu
• Xiaofei Sun
• Fangliang Liu
• Na Li
• Yu Wang
• Lu Yang
• Quan Yu

Study on the relationship between vaginal dose and radiation-induced vaginal injury following cervical cancer radiotherapy, and model development

in Radiation and Health

• Fei Kong
• Ziqin Yan
• Liying Gao
• Jianping Long
• Xu Wang
• Zhangcai Zheng