Статті в журналах з теми "Data imbalance problem"
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Tiwari, Himani. "Improvising Balancing Methods for Classifying Imbalanced Data." International Journal for Research in Applied Science and Engineering Technology 9, no. 9 (September 30, 2021): 1535–43. http://dx.doi.org/10.22214/ijraset.2021.38225.
Повний текст джерелаIsabella, S. Josephine, Sujatha Srinivasan, and G. Suseendran. "A Framework Using Binary Cross Entropy - Gradient Boost Hybrid Ensemble Classifier for Imbalanced Data Classification." Webology 18, no. 1 (April 29, 2021): 104–20. http://dx.doi.org/10.14704/web/v18i1/web18076.
Повний текст джерелаYogi, Abhishek, and Ratul Dey. "CLASS IMBALANCE PROBLEM IN DATA SCIENCE: REVIEW." International Research Journal of Computer Science 9, no. 4 (April 30, 2022): 56–60. http://dx.doi.org/10.26562/irjcs.2021.v0904.002.
Повний текст джерелаRendón, Eréndira, Roberto Alejo, Carlos Castorena, Frank J. Isidro-Ortega, and Everardo E. Granda-Gutiérrez. "Data Sampling Methods to Deal With the Big Data Multi-Class Imbalance Problem." Applied Sciences 10, no. 4 (February 14, 2020): 1276. http://dx.doi.org/10.3390/app10041276.
Повний текст джерелаSUN, YANMIN, ANDREW K. C. WONG, and MOHAMED S. KAMEL. "CLASSIFICATION OF IMBALANCED DATA: A REVIEW." International Journal of Pattern Recognition and Artificial Intelligence 23, no. 04 (June 2009): 687–719. http://dx.doi.org/10.1142/s0218001409007326.
Повний текст джерелаLiu, Tian Yu. "Research on Feature Selection for Imbalanced Problem from Fault Diagnosis on Gear." Advanced Materials Research 466-467 (February 2012): 886–90. http://dx.doi.org/10.4028/www.scientific.net/amr.466-467.886.
Повний текст джерелаKhoshgoftaar, Taghi M., Naeem Seliya, and Dennis J. Drown. "Evolutionary data analysis for the class imbalance problem." Intelligent Data Analysis 14, no. 1 (January 22, 2010): 69–88. http://dx.doi.org/10.3233/ida-2010-0409.
Повний текст джерела., Hartono, Opim Salim Sitompul, Erna Budhiarti Nababan, Tulus ., Dahlan Abdullah, and Ansari Saleh Ahmar. "A New Diversity Technique for Imbalance Learning Ensembles." International Journal of Engineering & Technology 7, no. 2.14 (April 8, 2018): 478. http://dx.doi.org/10.14419/ijet.v7i2.11251.
Повний текст джерелаNaboureh, Amin, Ainong Li, Jinhu Bian, Guangbin Lei, and Meisam Amani. "A Hybrid Data Balancing Method for Classification of Imbalanced Training Data within Google Earth Engine: Case Studies from Mountainous Regions." Remote Sensing 12, no. 20 (October 11, 2020): 3301. http://dx.doi.org/10.3390/rs12203301.
Повний текст джерелаLiu, Zhenyan, Yifei Zeng, Pengfei Zhang, Jingfeng Xue, Ji Zhang, and Jiangtao Liu. "An Imbalanced Malicious Domains Detection Method Based on Passive DNS Traffic Analysis." Security and Communication Networks 2018 (June 20, 2018): 1–7. http://dx.doi.org/10.1155/2018/6510381.
Повний текст джерелаPeng, Ching-Tung, Yung-Kuan Chan, and Shyr-Shen Yu. "Data Imbalance Immunity Bone Age Assessment System Using Independent Autoencoders." Applied Sciences 12, no. 16 (August 9, 2022): 7974. http://dx.doi.org/10.3390/app12167974.
Повний текст джерелаWongvorachan, Tarid, Surina He, and Okan Bulut. "A Comparison of Undersampling, Oversampling, and SMOTE Methods for Dealing with Imbalanced Classification in Educational Data Mining." Information 14, no. 1 (January 16, 2023): 54. http://dx.doi.org/10.3390/info14010054.
Повний текст джерелаLu, Yang, Yiu-Ming Cheung, and Yuan Yan Tang. "Bayes Imbalance Impact Index: A Measure of Class Imbalanced Data Set for Classification Problem." IEEE Transactions on Neural Networks and Learning Systems 31, no. 9 (September 2020): 3525–39. http://dx.doi.org/10.1109/tnnls.2019.2944962.
Повний текст джерелаAlfhaid, Mashaal A., and Manal Abdullah. "Classification of Imbalanced Data Stream: Techniques and Challenges." Transactions on Machine Learning and Artificial Intelligence 9, no. 2 (April 23, 2021): 36–52. http://dx.doi.org/10.14738/tmlai.92.9964.
Повний текст джерелаMalhotra, Ruchika, and Kusum Lata. "Using Ensembles for Class-Imbalance Problem to Predict Maintainability of Open Source Software." International Journal of Reliability, Quality and Safety Engineering 27, no. 05 (March 6, 2020): 2040011. http://dx.doi.org/10.1142/s0218539320400112.
Повний текст джерелаObrubova, V., and M. Ozerova. "IMBALANCE OF CLASSES IN SOLVING THE PROBLEM OF SOCIAL NETWORKS USER CLASSIFICATION FOR PROFESSIONAL ORIENTATION." National Association of Scientists 2, no. 68 (July 10, 2021): 41–43. http://dx.doi.org/10.31618/nas.2413-5291.2021.2.68.449.
Повний текст джерелаTerzi, Duygu Sinanc, and Seref Sagiroglu. "A New Big Data Model Using Distributed Cluster-Based Resampling for Class-Imbalance Problem." Applied Computer Systems 24, no. 2 (December 1, 2019): 104–10. http://dx.doi.org/10.2478/acss-2019-0013.
Повний текст джерелаGong, Chunlin, and Liangxian Gu. "A Novel SMOTE-Based Classification Approach to Online Data Imbalance Problem." Mathematical Problems in Engineering 2016 (2016): 1–14. http://dx.doi.org/10.1155/2016/5685970.
Повний текст джерелаLi, Peng, Lili Yin, Bo Zhao, and Yuezhongyi Sun. "Virtual Screening of Drug Proteins Based on Imbalance Data Mining." Mathematical Problems in Engineering 2021 (May 22, 2021): 1–10. http://dx.doi.org/10.1155/2021/5585990.
Повний текст джерелаCohen, David, and Shannon Hughes. "How Do People Taking Psychiatric Drugs Explain Their “Chemical Imbalance?”." Ethical Human Psychology and Psychiatry 13, no. 3 (2012): 176–89. http://dx.doi.org/10.1891/1559-4343.13.3.176.
Повний текст джерелаQuan, Daying, Wei Feng, Gabriel Dauphin, Xiaofeng Wang, Wenjiang Huang, and Mengdao Xing. "A Novel Double Ensemble Algorithm for the Classification of Multi-Class Imbalanced Hyperspectral Data." Remote Sensing 14, no. 15 (August 5, 2022): 3765. http://dx.doi.org/10.3390/rs14153765.
Повний текст джерелаSainin, Mohd Shamrie, Rayner Alfred, and Faudziah Ahmad. "ENSEMBLE META CLASSIFIER WITH SAMPLING AND FEATURE SELECTION FOR DATA WITH IMBALANCE MULTICLASS PROBLEM." Journal of Information and Communication Technology 20, Number 2 (February 21, 2021): 103–33. http://dx.doi.org/10.32890/jict2021.20.2.1.
Повний текст джерелаLi, Yan Ling, Kui Xia Han, and Ye Hang Zhu. "The Influence of Data Imbalance on Feature Selection." Advanced Materials Research 562-564 (August 2012): 1634–37. http://dx.doi.org/10.4028/www.scientific.net/amr.562-564.1634.
Повний текст джерелаChoudhary, Roshani, and Sanyam Shukla. "Reduced-Kernel Weighted Extreme Learning Machine Using Universum Data in Feature Space (RKWELM-UFS) to Handle Binary Class Imbalanced Dataset Classification." Symmetry 14, no. 2 (February 14, 2022): 379. http://dx.doi.org/10.3390/sym14020379.
Повний текст джерелаKurniawati, Yulia Ery, and Yulius Denny Prabowo. "Model optimisation of class imbalanced learning using ensemble classifier on over-sampling data." IAES International Journal of Artificial Intelligence (IJ-AI) 11, no. 1 (March 1, 2022): 276. http://dx.doi.org/10.11591/ijai.v11.i1.pp276-283.
Повний текст джерелаAlahmari, Fahad. "A Comparison of Resampling Techniques for Medical Data Using Machine Learning." Journal of Information & Knowledge Management 19, no. 01 (March 2020): 2040016. http://dx.doi.org/10.1142/s021964922040016x.
Повний текст джерелаNarwane, Swati V., and Sudhir D. Sawarkar. "Effects of Class Imbalance Using Machine Learning Algorithms." International Journal of Applied Evolutionary Computation 12, no. 1 (January 2021): 1–17. http://dx.doi.org/10.4018/ijaec.2021010101.
Повний текст джерелаGuo, Huaping, Jun Zhou, Chang-an Wu, and Wei She. "A Novel Hybrid-Based Ensemble for Class Imbalance Problem." International Journal on Artificial Intelligence Tools 27, no. 06 (September 2018): 1850025. http://dx.doi.org/10.1142/s0218213018500252.
Повний текст джерелаWu, Xu, Youlong Yang, and Lingyu Ren. "Entropy difference and kernel-based oversampling technique for imbalanced data learning." Intelligent Data Analysis 24, no. 6 (December 18, 2020): 1239–55. http://dx.doi.org/10.3233/ida-194761.
Повний текст джерелаLin, Ismael, Octavio Loyola-González, Raúl Monroy, and Miguel Angel Medina-Pérez. "A Review of Fuzzy and Pattern-Based Approaches for Class Imbalance Problems." Applied Sciences 11, no. 14 (July 8, 2021): 6310. http://dx.doi.org/10.3390/app11146310.
Повний текст джерелаLango, Mateusz. "Tackling the Problem of Class Imbalance in Multi-class Sentiment Classification: An Experimental Study." Foundations of Computing and Decision Sciences 44, no. 2 (June 1, 2019): 151–78. http://dx.doi.org/10.2478/fcds-2019-0009.
Повний текст джерелаYan, Jianhong, and Suqing Han. "Classifying Imbalanced Data Sets by a Novel RE-Sample and Cost-Sensitive Stacked Generalization Method." Mathematical Problems in Engineering 2018 (2018): 1–13. http://dx.doi.org/10.1155/2018/5036710.
Повний текст джерелаEmamipour, Sajad, Rasoul Sali, and Zahra Yousefi. "A Multi-Objective Ensemble Method for Class Imbalance Learning." International Journal of Big Data and Analytics in Healthcare 2, no. 1 (January 2017): 16–34. http://dx.doi.org/10.4018/ijbdah.2017010102.
Повний текст джерелаThamrin, Sri Astuti, Dian Sidik, Hedi Kuswanto, Armin Lawi, and Ansariadi Ansariadi. "Exploration of Obesity Status of Indonesia Basic Health Research 2013 With Synthetic Minority Over-Sampling Techniques." Indonesian Journal of Statistics and Its Applications 5, no. 1 (March 31, 2021): 75–91. http://dx.doi.org/10.29244/ijsa.v5i1p75-91.
Повний текст джерелаGupta, Reetu, Disha Gupta, and Prashant Khobragade. "A Clustering Approach for Class Imbalance Problem in Data Mining." International Journal of Computer Trends and Technology 42, no. 3 (December 25, 2016): 133–36. http://dx.doi.org/10.14445/22312803/ijctt-v42p122.
Повний текст джерелаBATUWITA, RUKSHAN, and VASILE PALADE. "ADJUSTED GEOMETRIC-MEAN: A NOVEL PERFORMANCE MEASURE FOR IMBALANCED BIOINFORMATICS DATASETS LEARNING." Journal of Bioinformatics and Computational Biology 10, no. 04 (July 23, 2012): 1250003. http://dx.doi.org/10.1142/s0219720012500035.
Повний текст джерелаSetiawan, Budi Darma, Uwe Serdült, and Victor Kryssanov. "A Machine Learning Framework for Balancing Training Sets of Sensor Sequential Data Streams." Sensors 21, no. 20 (October 18, 2021): 6892. http://dx.doi.org/10.3390/s21206892.
Повний текст джерелаRekha, Gillala, and V. Krishna Reddy. "A Novel Approach for Handling Outliers in Imbalanced Data." International Journal of Engineering & Technology 7, no. 3.1 (August 4, 2018): 1. http://dx.doi.org/10.14419/ijet.v7i3.1.16783.
Повний текст джерелаWANG, SHUO, LEANDRO L. MINKU, and XIN YAO. "ONLINE CLASS IMBALANCE LEARNING AND ITS APPLICATIONS IN FAULT DETECTION." International Journal of Computational Intelligence and Applications 12, no. 04 (December 2013): 1340001. http://dx.doi.org/10.1142/s1469026813400014.
Повний текст джерелаAgrawal, Divya, and Padma Bonde. "Improving Classification Accuracy on Imbalanced Data by Ensembling Technique." Journal of Cases on Information Technology 19, no. 1 (January 2017): 42–49. http://dx.doi.org/10.4018/jcit.2017010104.
Повний текст джерелаXie, Yi Ning, Lian Yu, Guo Hui Guan, and Yong Jun He. "An Overlapping Cell Image Synthesis Method for Imbalance Data." Analytical Cellular Pathology 2018 (July 9, 2018): 1–12. http://dx.doi.org/10.1155/2018/7919503.
Повний текст джерелаQing, Zhipeng, Qiangyu Zeng, Hao Wang, Yin Liu, Taisong Xiong, and Shihao Zhang. "ADASYN-LOF Algorithm for Imbalanced Tornado Samples." Atmosphere 13, no. 4 (March 29, 2022): 544. http://dx.doi.org/10.3390/atmos13040544.
Повний текст джерелаCho, Eunnuri, Tai-Woo Chang, and Gyusun Hwang. "Data Preprocessing Combination to Improve the Performance of Quality Classification in the Manufacturing Process." Electronics 11, no. 3 (February 6, 2022): 477. http://dx.doi.org/10.3390/electronics11030477.
Повний текст джерелаPalli, Abdul Sattar, Jafreezal Jaafar, Heitor Murilo Gomes, Manzoor Ahmed Hashmani, and Abdul Rehman Gilal. "An Experimental Analysis of Drift Detection Methods on Multi-Class Imbalanced Data Streams." Applied Sciences 12, no. 22 (November 17, 2022): 11688. http://dx.doi.org/10.3390/app122211688.
Повний текст джерелаSun, Yue, Aidong Xu, Kai Wang, Xiufang Zhou, Haifeng Guo, and Xiaojia Han. "Intelligent Fault Diagnosis of Industrial Robot Based on Multiclass Mahalanobis-Taguchi System for Imbalanced Data." Entropy 24, no. 7 (June 24, 2022): 871. http://dx.doi.org/10.3390/e24070871.
Повний текст джерелаHemalatha, Putta, and Geetha Mary Amalanathan. "FG-SMOTE: Fuzzy-based Gaussian synthetic minority oversampling with deep belief networks classifier for skewed class distribution." International Journal of Intelligent Computing and Cybernetics 14, no. 2 (March 15, 2021): 270–87. http://dx.doi.org/10.1108/ijicc-12-2020-0202.
Повний текст джерелаFu, Guang-Hui, Jia-Bao Wang, Min-Jie Zong, and Lun-Zhao Yi. "Feature Ranking and Screening for Class-Imbalanced Metabolomics Data Based on Rank Aggregation Coupled with Re-Balance." Metabolites 11, no. 6 (June 14, 2021): 389. http://dx.doi.org/10.3390/metabo11060389.
Повний текст джерелаUntoro, Meida Cahyo, and Joko Lianto Buliali. "Penanganan imbalance class data laboratorium kesehatan dengan Majority Weighted Minority Oversampling Technique." Register: Jurnal Ilmiah Teknologi Sistem Informasi 4, no. 1 (November 24, 2018): 23. http://dx.doi.org/10.26594/register.v4i1.1184.
Повний текст джерелаHussin, Sahar K., Salah M. Abdelmageid, Adel Alkhalil, Yasser M. Omar, Mahmoud I. Marie, and Rabie A. Ramadan. "Handling Imbalance Classification Virtual Screening Big Data Using Machine Learning Algorithms." Complexity 2021 (January 28, 2021): 1–15. http://dx.doi.org/10.1155/2021/6675279.
Повний текст джерелаYu, Hualong, Shufang Hong, Xibei Yang, Jun Ni, Yuanyuan Dan, and Bin Qin. "Recognition of Multiple Imbalanced Cancer Types Based on DNA Microarray Data Using Ensemble Classifiers." BioMed Research International 2013 (2013): 1–13. http://dx.doi.org/10.1155/2013/239628.
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