Search Results - SMOTE algorithm parameters

CURE-SMOTE algorithm and hybrid algorithm for feature selection and parameter optimization based on random forests by Ma, Li, Fan, Suohai

“… Results We propose the CURE-SMOTE algorithm for the imbalanced data classification problem…”
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Research on expansion and classification of imbalanced data based on SMOTE algorithm by Wang, Shujuan, Dai, Yuntao, Shen, Jihong, Xuan, Jingxue

“… SMOTE algorithm could be used to generate sample points randomly to improve imbalance rate, but its application is affected by the marginalization generation and blindness of parameter selection…”
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A new hybrid approach based on genetic algorithm and support vector machine methods for hyperparameter optimization in synthetic minority over-sampling technique (SMOTE) by Akın, Pelin

“… The SMOTE algorithm has three critical parameters, "k", "perc.over", and "perc.under". "perc.over" and "perc.under" hyperparameters allow determining the minority and majority…”
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A Parameter-Free Cleaning Method for SMOTE in Imbalanced Classification by Yan, Yuanting, Liu, Ruiqing, Ding, Zihan, Du, Xiuquan, Chen, Jie, Zhang, Yanping

“… To this end, this paper proposes a parameter-free data cleaning method to improve SMOTE based on constructive…”
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OPTUNA optimization for predicting chemical respiratory toxicity using ML models by Shehab, Eman, Nayel, Hamada, Taha, Mohamed

“…) based models with different machine learning algorithms. To address class imbalance, SMOTE is applied…”
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Machine learning-based classification of rock discontinuity trace: SMOTE oversampling integrated with GBT ensemble learning by Chen, Jiayao, Huang, Hongwei, Cohn, Anthony G., Zhang, Dongming, Zhou, Mingliang

“…) hyper-parameters optimization algorithm and gradient boosting tree (GBT) to achieve efficient and accurate rock trace identification…”
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Fine-Tuning CNN-BiGRU for Intrusion Detection with SMOTE Optimization Using Optuna by BENCHAMA, Asmaa, ZEBBARA, Khalid

“… Additionally, we utilize the Synthetic Minority Over-sampling Technique (SMOTE) to address imbalanced data and Optuna for fine-tuning the algorithm's parameters specific to NIDS requirements…”
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Grouped SMOTE With Noise Filtering Mechanism for Classifying Imbalanced Data by Cheng, Ke, Zhang, Chen, Yu, Hualong, Yang, Xibei, Zou, Haitao, Gao, Shang

“…SMOTE (Synthetic Minority Oversampling TEchnique) is one of the most popular and well-known sampling algorithms for addressing class imbalance learning problem…”
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Application of Natural Neighbor-based Algorithm on Oversampling SMOTE Algorithms by Srinilta, Chutimet, Kanharattanachai, Sivakorn

“… SMOTE-based algorithms are usually used to handle the class imbalance problem. One key parameter that algorithms in SMOTE family require is k-the number of nearest neighbors with respect to a certain data point…”
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Adaptive swarm cluster-based dynamic multi-objective synthetic minority oversampling technique algorithm for tackling binary imbalanced datasets in biomedical data classification by Li, Jinyan, Fong, Simon, Sung, Yunsick, Cho, Kyungeun, Wong, Raymond, Wong, Kelvin K. L.

“…Background An imbalanced dataset is defined as a training dataset that has imbalanced proportions of data in both interesting and uninteresting classes. Often…”
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A Remote Sensing Detection Method for Ceracris Kiangsu Tsai in Moso Bamboo Forests Integrating SMOTE Algorithm and Multi-Model Ensemble by Qin, Na, Xu, Zhanghua, Yu, Wensen, Xu, Shancai, Cheng, Rengui, Cao, Yongwei, Yu, Xier, Liu, Weili, Guo, Xiaoyu, Guan, Fengying

“…; proposes a collaborative detection method for C.kiangsu infestations in Moso bamboo forests that combines the SMOTE algorithm with a multi-model ensemble, optimizes model parameters via the Bayesian algorithm, and simultaneously uses SHAP values…”
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Comprehensive Evaluation of Bankruptcy Prediction in Taiwanese Firms Using Multiple Machine Learning Models by Pham, Hung V., Chu, Tuan, Le, Tuan M., Tran, Hieu M., Tran, Huong T.K., Yen, Khanh N., Dao, Son V. T.

“…) algorithms with advanced data with the Synthetic minority oversampling technique Tomek (SMOTE Tomek) or SMOTE- Edited Nearest Neighbor…”
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Gas–Liquid Two-Phase Flow Pattern Identification of a Centrifugal Pump Based on SMOTE and Artificial Neural Network by He, Denghui, Li, Ruilin, Zhang, Zhenduo, Sun, Shuaihui, Guo, Pengcheng

“… After oversampling based on the SMOTE algorithm, a four-layer artificial…”
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Application of Hybrid Model Based on LASSO-SMOTE-BO-SVM to Lithology Identification During Drilling by Yao, Hui, Liang, Manyu, Yin, Shangxian, Zhang, Qing, Tian, Yunlei, Wang, Guoan, Hou, Enke, Lian, Huiqing, Zhang, Jinfu, Wu, Chuanshi

“… First, the least absolute shrinkage and selection operator (LASSO) algorithm was used to screen the independent variables and retain…”
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Adaptive Swarm Balancing Algorithms for rare-event prediction in imbalanced healthcare data by Li, Jinyan, Liu, Lian-sheng, Fong, Simon, Wong, Raymond K., Mohammed, Sabah, Fiaidhi, Jinan, Sung, Yunsick, Wong, Kelvin K. L.

“… minority. We investigate two different meta-heuristic algorithms, particle swarm optimization and bat algorithm, and apply them to empower the effects of synthetic minority over-sampling technique (SMOTE…”
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Adaptive over-sampling method for classification with application to imbalanced datasets in aluminum electrolysis by Huang, Zhaoke, Yang, Chunhua, Chen, Xiaofang, Huang, Keke, Xie, Yongfang

“… In addition, the imbalance ratios of these datasets are absolutely different, which makes parameter selection in SMOTE more difficult…”
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Whirlwind Classification with Imbalanced Upper Air Data Handling using SMOTE Algorithm and SVM Classifier by Novitasari, D C R, Foeady, A Z, Nariswari, R, Asyhar, A H, Ulinnuha, N, Farida, Y, Santi, D R, Ilham, Setiawan, F

“… The purpose of this research is to optimize SVM classification with SMOTE algorithm to handling problems in imbalanced data and this research can minimize casualties and losses or also…”
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OC-SMOTE-NN: A Deep Learning-based Approach for Imbalanced Classification by Karunasingha, Navodika, Jayasekara, Buddhi G., Hevapathige, Asela

“… Our model consists of three major components: 1) A variant of SMOTE algorithm with learnable parameters; 2…”
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Fault Diagnosis Method Based on CND-SMOTE and BA-SVM Algorithm by Wang, Sheng, Ma, Liling, Wang, Junzheng

“… To address the problem that the classification algorithm in machine learning has the insufficient capability to identify minority class samples for unbalanced sample data classification problems…”
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Decision support in machine vision system for monitoring of TFT-LCD glass substrates manufacturing by Yousefian-Jazi, Ali, Ryu, Jun-Hyung, Yoon, Seongkyu, Liu, J. Jay

“…•Making an automatic inspection system for TFT-LCD glass substrates manufacturing.•Using wavelet co-occurrence signature from substrate images for feature…”
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