Search Results - SMOTE algorithm parameters

Utjecaj parametara algoritma SMOTE za rukovanje problemom neuravnoteženosti klasa ; Impact of the parameters of the SMOTE algorithm for handling class imbalance

Authors: Džoić, Kristian Bajer, Dražen

Contributors: Džoić, Kristian Bajer, Dražen

Subject Terms: klasifikacija, neuravnoteženost klasa, parametri algoritma SMOTE, preuzorkovanje, sintetički uzorci, classification, class imbalance, SMOTE algorithm parameters, oversampling, synthetic samples, TEHNIČKE ZNANOSTI. Računarstvo. Umjetna inteligencija, TECHNICAL SCIENCES. Computing. Artificial Intelligence

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Relation: https://repozitorij.unios.hr/islandora/object/etfos:5008; https://urn.nsk.hr/urn:nbn:hr:200:048928; https://repozitorij.unios.hr/islandora/object/etfos:5008/datastream/PDF

Availability: https://repozitorij.unios.hr/islandora/object/etfos:5008
https://urn.nsk.hr/urn:nbn:hr:200:048928
https://repozitorij.unios.hr/islandora/object/etfos:5008/datastream/PDF

A new hybrid approach based on genetic algorithm and support vector machine methods for hyperparameter optimization in synthetic minority over-sampling technique (SMOTE)

Authors: Pelin Akın

Source: AIMS Mathematics, Vol 8, Iss 4, Pp 9400-9415 (2023)

Subject Terms: genetic algorithm, QA1-939, 0202 electrical engineering, electronic engineering, information engineering, smote, support vector machine, 02 engineering and technology, Mathematics

Access URL: https://doaj.org/article/fec4931973614758bf49c8776ad5c33c

An improved SMOTE algorithm for enhanced imbalanced data classification by expanding sample generation space.

Authors: Li, Ying Yang, Yali Song, Peihua et al.

Source: Scientific Reports. 7/2/2025, Vol. 15 Issue 1, p1-21. 21p.

Subject Terms: *RANDOM numbers, *DATA distribution, *EUCLIDEAN distance, *SCATTER diagrams, *ALGORITHMS

Application of Hybrid Model Based on LASSO-SMOTE-BO-SVM to Lithology Identification During Drilling.

Authors: Yao, Hui Liang, Manyu Yin, Shangxian et al.

Source: Processes; Jul2025, Vol. 13 Issue 7, p2038, 15p

Subject Terms: MACHINE learning, SUPPORT vector machines, OPTIMIZATION algorithms, GEOTECHNICAL engineering, PETROLOGY, OIL well drilling rigs, ALGORITHMS, DATA augmentation

Lithology identification of uranium drilling based on SMOTE algorithm logic-CNN.

Authors: Shengming Shi

Source: Journal of Biotech Research; 2024, Vol. 18, p53-64, 12p

Subject Terms: CONVOLUTIONAL neural networks, MINES & mineral resources, PROSPECTING, BOOSTING algorithms, VOLCANIC ash, tuff, etc., PARTICLE swarm optimization

CH-Smote Algorithm: A Novel Approach to Improve Random Forest Classification on Class Imbalanced Datasets.

Authors: Jiao Wang Norhashidah Awang

Source: Journal of Computational Analysis & Applications. 2024, Vol. 33 Issue 7, p1331-1349. 19p.

Subject Terms: *RANDOM forest algorithms, *CLASSIFICATION algorithms, *CENTER of mass, *SAMPLING (Process), *ALGORITHMS

A Remote Sensing Detection Method for Ceracris Kiangsu Tsai in Moso Bamboo Forests Integrating SMOTE Algorithm and Multi-Model Ensemble

Authors: Na Qin Zhanghua Xu Wensen Yu et al.

Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 25005-25023 (2025)

Subject Terms: Interpretability, pest detection, responsiveness, stacking ensemble learning algorithm, Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/11174951/; https://doaj.org/toc/1939-1404; https://doaj.org/toc/2151-1535

Access URL: https://doaj.org/article/7c571942eced47c9ac964c4c4ade1ebd

CURE-SMOTE algorithm and hybrid algorithm for feature selection and parameter optimization based on random forests.

Authors: Ma L Fan S

Source: BMC bioinformatics [BMC Bioinformatics] 2017 Mar 14; Vol. 18 (1), pp. 169. Date of Electronic Publication: 2017 Mar 14.

Publication Type: Journal Article

Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105 (Electronic) Linking ISSN: 14712105 NLM ISO Abbreviation: BMC Bioinformatics Subsets: MEDLINE

MeSH Terms: Algorithms*, Area Under Curve ; Cluster Analysis ; ROC Curve

A MACHINE LEARNING FRAMEWORK FOR SUICIDAL THOUGHTS PREDICTION USING LOGISTIC REGRESSION AND SMOTE ALGORITHM

Authors: Sarni Maniar Berliana Omas Bulan Samosir Rafidah Abd Karim et al.

Source: Barekeng, Vol 19, Iss 2, Pp 1409-1420 (2025)

Subject Terms: balanced accuracy, imbalanced data, kappa, mental health, sdg 3, sensitivity, specificity, Probabilities. Mathematical statistics, QA273-280

File Description: electronic resource

Relation: https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/16236; https://doaj.org/toc/1978-7227; https://doaj.org/toc/2615-3017

Access URL: https://doaj.org/article/154cdd6330e846018cb8dab317eb039c

Utjecaj parametara algoritma SMOTE za rukovanje problemom neuravnoteženosti klasa

Authors: Džoić, Kristian Bajer, Dražen

Contributors: Džoić, Kristian Bajer, Dražen

Subject Terms: TEHNIČKE ZNANOSTI. Računarstvo. Umjetna inteligencija, classification, oversampling, class imbalance, SMOTE algorithm parameters, preuzorkovanje, sintetički uzorci, parametri algoritma SMOTE, klasifikacija, neuravnoteženost klasa, synthetic samples, TECHNICAL SCIENCES. Computing. Artificial Intelligence

File Description: application/pdf

Access URL: https://repozitorij.etfos.hr/islandora/object/etfos:5008
https://urn.nsk.hr/urn:nbn:hr:200:048928
https://repozitorij.etfos.hr/islandora/object/etfos:5008/datastream/PDF

A Heuristic Approach to Parameter Tuning in a SMOTE-Based Preprocessing Algorithm for Imbalanced Ordinal Classification

Authors: D. Dhanalakshmi Anna Saro Vijendran

Source: Intelligent Systems ISBN: 9780429265020

Access URL: https://www.taylorfrancis.com/chapters/edit/10.1201/9780429265020-8/heuristic-approach-parameter-tuning-smote-based-preprocessing-algorithm-imbalanced-ordinal-classification-anna-saro-vijendran-dhanalakshmi

Liquefaction prediction with robust machine learning algorithms (SVM, RF, and XGBoost) supported by genetic algorithm-based feature selection and parameter optimization from the perspective of data processing

Authors: Selçuk Demir Emrehan Kutluğ Şahin Bolu Abant İzzet Baysal University Institutional Repository

Contributors: Selçuk Demir Emrehan Kutluğ Şahin Bolu Abant İzzet Baysal University Institutional Repository

Source: Environmental Earth Sciences. 81

Subject Terms: Genetic Algorithm, Coefficient, Earthquake, Liquefaction Prediction, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Neural-Network, 02 engineering and technology, SMOTE

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Access URL: https://hdl.handle.net/20.500.12491/11888
https://doi.org/10.1007/s12665-022-10578-4

SMOTE algorithm optimization and application in corporate credit risk prediction with diversification strategy consideration.

Authors: Wei, Han

Source: Scientific Reports; 7/2/2025, Vol. 15 Issue 1, p1-18, 18p

Subject Terms: CREDIT risk, CREDIT analysis, FINANCIAL risk, FINANCIAL statistics, CAPITAL allocation

CURE-SMOTE algorithm and hybrid algorithm for feature selection and parameter optimization based on random forests.

Authors: Li Ma Suohai Fan

Source: BMC Bioinformatics; 3/14/2017, Vol. 18, p1-18, 18p, 8 Diagrams, 9 Charts, 3 Graphs

Subject Terms: FEATURE selection, PROCESS optimization, RANDOM forest algorithms, INFORMATION storage & retrieval systems, DATA distribution

The Sentiment Analysis of Public Comments on 'Program Makan Siang Gratis' Using KNN (K-Nearest Neighbor) and SMOTE Algorithm

Authors: Vincent Vincent Vincentius Hansel Irsansaputra Daniel Udjulawa

Source: [CEPAT] Journal of Computer Engineering: Progress, Application and Technology. 3

SMOTE oversampling algorithm based on generative adversarial network.

Authors: Liu, Yu Liu, Qicheng

Source: Cluster Computing; Aug2025, Vol. 28 Issue 4, p1-16, 16p

Subject Terms: GENERATIVE adversarial networks, ARTIFICIAL intelligence, K-nearest neighbor classification, IMAGE processing, DATA distribution

Research on expansion and classification of imbalanced data based on SMOTE algorithm.

Authors: Wang, Shujuan Dai, Yuntao Shen, Jihong et al.

Source: Scientific Reports; 12/15/2021, Vol. 11 Issue 1, p1-11, 11p

Subject Terms: ALGORITHMS, ARTIFICIAL intelligence, MACHINE learning, FEATURE selection, GAUSSIAN distribution, PERFORMANCE standards

A Data-Driven Comparative Study of Machine Learning Algorithms for Hepatitis C Diagnosis

Authors: Njoku Perfect Izuchukwu Sule Haruna Sani Eneh Joy Chinemerem

Source: International Journal of Advances in Engineering and Management. 7:1053-1064

Research on multi-dimensional intelligent quantitative assessment of upper limb function based on kinematic parameters

Authors: Sujiao, Li Wenqian, Cai Pei, Zhu et al.

Source: Technology and Health Care. 32:2293-2306

Subject Terms: Male, Adult, Movement, Robotics, Middle Aged, Biomechanical Phenomena, Upper Extremity, 03 medical and health sciences, 0302 clinical medicine, Humans, Female, 0305 other medical science, Algorithms, Aged

Access URL: https://pubmed.ncbi.nlm.nih.gov/38759031

Research on expansion and classification of imbalanced data based on SMOTE algorithm

Authors: Shujuan Wang Yuntao Dai Jihong Shen et al.

Source: Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)

Subject Terms: Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/406dd8678b744e19b753a2fec70c0d38