Versatility Evaluation of Landslide Risk with Window Sizes and Sampling Techniques Based on Deep Learning by Fudong Ren, Koichi Isobe

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Solving Simulated Imbalanced Body Performance Data using A-SUWO and Tomek Link Algorithm by Febryan Grady, Joel Rizky Wahidiyat, Abba Suganda Girsang

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Mitigating class imbalance in churn prediction with ensemble methods and SMOTE by R. Suguna, J. Suriya Prakash, H. Aditya Pai, T. R. Mahesh, Venkatesan Vinoth Kumar, Temesgen Engida Yimer

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Temporal characterization of ultrashort pulses via reflected four-wave mixing with perturbation on a solid surface by Jinhui Li, Keyang Liu, Hao Yuan, Xingguo Wang, Qiwen Zhen, Xianglin Wang, Yishan Wang, Wei Zhao, Huabao Cao, Yuxi Fu

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Constraints in social science research: data collection and sampling techniques for hard-to-reach population by ADEJARE, Taiwo

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Factors influencing female students’ choices of Scientific fields: a case study of the university of Ngaoundéré using a stratified survey by Mbelawadzai Joseph, Mbounja Béssémè Fritz, Kouakep Tchaptchié Yannick, Anegue Jean de Dieu

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A comprehensive evaluation of oversampling techniques for enhancing text classification performance by Salimkan Fatma Taskiran, Bahaeddin Turkoglu, Ersin Kaya, Tunc Asuroglu

Subjects: “…Synthetic minority over-sampling technique (SMOTE)…”
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Research on Traffic Accident Severity Level Prediction Model Based on Improved Machine Learning by Jiming Tang, Yao Huang, Dingli Liu, Liuyuan Xiong, Rongwei Bu

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Urban green infrastructure and social cohesion in Lagos Metropolis, Nigeria by Adedotun Dipeolu, Amos Taiwo, Temitope Adebara

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Sampling and Comparison of Extraction Techniques Coupled with Gas Chromatography–Mass Spectrometry (GC-MS) for the Analysis of Substrates Exposed to Explosives by Himanshi Upadhyaya, Alexis J. Hecker, John V. Goodpaster

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Regional Spatial Mean of Ionospheric Irregularities Based on K-Means Clustering of ROTI Maps by Yenca Migoya-Orué, Oladipo E. Abe, Sandro Radicella

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Research on Single Photon Laser Communication Detection and Receiving Technology Based on Baseband Pulse Sampling by Yapei Sheng, Min Zhang, Jiao Dong, Ziyi Gao, Li Xu, Peng Lin, Keyan Dong, Xiaonan Yu

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Enhancing automatic early arteriosclerosis prediction: an explainable machine learning evidence by Eka Miranda, Suko Adiarto

Subjects: “…Synthetic Minority Over-sampling Technique…”
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How to choose a sampling technique and determine sample size for research: A simplified guide for researchers by Sirwan Khalid Ahmed

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Determinants of poverty among local rice processors in Kwara State, Nnigeria by M. F. Salami, R. O. Babatunde, O. E. Ayinde, E. I. Adeoti

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Enhancing Binary Classification Performance in Biomedical Datasets: Regularized ELM with SMOTE and Quantile Transforms Focused on Breast Cancer Analysis by Brilliant Friezka Aina, Meta Kallista, Ig. Prasetya Dwi Wibawa, Ginaldi Ari Nugroho, Ivana Meiska, Syifa Melinda Naf’an

Subjects: “…synthetic minority over-sampling technique (smote)…”
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Gait-based Parkinson’s disease diagnosis and severity classification using force sensors and machine learning by Navita, Pooja Mittal, Yogesh Kumar Sharma, Anjani Kumar Rai, Sarita Simaiya, Umesh Kumar Lilhore, Vimal Kumar

Subjects: “…Synthetic minority over-sampling technique…”
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S-DCNN: prediction of ATP binding residues by deep convolutional neural network based on SMOTE by Sixi Hao, Sixi Hao, Cai-Yan Li, Xiuzhen Hu, Zhenxing Feng, Gaimei Zhang, Caiyun Yang, Huimin Hu

Subjects: “…synthetic minority over-sampling technique…”
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STANet: A Novel Spatio-Temporal Aggregation Network for Depression Classification with Small and Unbalanced FMRI Data by Wei Zhang, Weiming Zeng, Hongyu Chen, Jie Liu, Hongjie Yan, Kaile Zhang, Ran Tao, Wai Ting Siok, Nizhuan Wang

Subjects: “…synthetic minority over-sampling technique (SMOTE)…”
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Prediction of Thyroid Classes Using Feature Selection of AEHOA Based CNN Model for Healthy Lifestyle by Rachappa Jopate, Piyush Kumar Pareek, DivyaJyothi M. G, Ariam Saleh Zuwayid Juma Al Hasani

Subjects: “…Adaptive Elephant Herd Optimization Algorithm, Convolutional Neural Network, Hyperthyroidism Imbalanced data, Machine Learning, Synthetic Minority Over-sampling Technique…”
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