Search results for "Over-sampling"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
65	Vladimir Braverman, Rafail Ostrovsky, Carlo Zaniolo	Optimal sampling from sliding windows.	PODS	2009	DBLP DOI BibTeX RDF	data streams, random sampling, sliding windows
50	Yuxin Peng, Jia Yao	AdaOUBoost: adaptive over-sampling and under-sampling to boost the concept learning in large scale imbalanced data sets.	Multimedia Information Retrieval	2010	DBLP DOI BibTeX RDF	adaouboost, concept annotation, large scale, class-imbalance learning
49	Ming-Hsiang Hung, Fang-Cheng Hsu	Accelerating Interactive Evolutionary Computation Convergence Pace by Using Over-sampling Strategy.	WSTST	2005	DBLP DOI BibTeX RDF	fatigue problem, interactive genetic algorithms, interactive evolutionary computation, interactive evolution, over-sampling
42	Gustavo E. A. P. A. Batista, Ronaldo C. Prati, Maria Carolina Monard	A study of the behavior of several methods for balancing machine learning training data.	SIGKDD Explor.	2004	DBLP DOI BibTeX RDF
41	Yasutaka Kamei, Jacky Wai Keung, Akito Monden, Ken-ichi Matsumoto	An over-sampling method for analogy-based software effort estimation.	ESEM	2008	DBLP DOI BibTeX RDF	empirical study, analogy, software effort estimation, over-sampling
39	Xiaolei Li 0001, Jiawei Han 0001, Zhijun Yin, Jae-Gil Lee 0001, Yizhou Sun	Sampling cube: a framework for statistical olap over sampling data.	SIGMOD Conference	2008	DBLP DOI BibTeX RDF	olap sampling
39	Esther Scheurmann, Chris Matthews	Neural Network Classifers in Arrears Management.	ICANN (2)	2005	DBLP DOI BibTeX RDF	minority over-sampling, majority under-sampling, loan default, arrears management, neural network ensembles
37	Yasutaka Kamei, Akito Monden, Shinsuke Matsumoto, Takeshi Kakimoto, Ken-ichi Matsumoto	The Effects of Over and Under Sampling on Fault-prone Module Detection.	ESEM	2007	DBLP DOI BibTeX RDF
36	Chumphol Bunkhumpornpat, Krung Sinapiromsaran, Chidchanok Lursinsap	Safe-Level-SMOTE: Safe-Level-Synthetic Minority Over-Sampling TEchnique for Handling the Class Imbalanced Problem.	PAKDD	2009	DBLP DOI BibTeX RDF	Class Imbalanced Problem, Safe Level, Over-sampling, SMOTE
31	Si Chen, Gongde Guo, Lifei Chen	A New Over-Sampling Method Based on Cluster Ensembles.	AINA Workshops	2010	DBLP DOI BibTeX RDF	classification, cluster ensembles, imbalanced data sets, over-sampling
29	Hui Han, Wenyuan Wang, Binghuan Mao	Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning.	ICIC (1)	2005	DBLP DOI BibTeX RDF
25	Sai Ho Wong, Xiaoming Peng, Francois P. S. Chin, A. S. Madhukumar	Performance analysis of an over-sampling multi-channel equalization for a multi-band uwb system.	IEEE Trans. Wirel. Commun.	2006	DBLP DOI BibTeX RDF
25	Yong-chun Zhang, Fei-peng Da, Wen-zhong Song	On Sampling for Surfaces Reconstruction.	CGIV	2004	DBLP DOI BibTeX RDF
22	Alberto Fernández 0001, Salvador García 0001, María José del Jesus, Francisco Herrera	A Study on the Use of the Fuzzy Reasoning Method Based on the Winning Rule vs. Voting Procedure for Classification with Imbalanced Data Sets.	IWANN	2007	DBLP DOI BibTeX RDF	Fuzzy Reasoning Method, Imbalanced Data-sets, Instance Selection, Over-sampling, Fuzzy Rule Based Classification Systems
22	Alberto Fernández 0001, Salvador García 0001, Francisco Herrera, María José del Jesus	An Analysis of the Rule Weights and Fuzzy Reasoning Methods for Linguistic Rule Based Classification Systems Applied to Problems with Highly Imbalanced Data Sets.	WILF	2007	DBLP DOI BibTeX RDF	rule weight, Fuzzy Reasoning Method, Imbalanced Data-sets, Over-sampling, Fuzzy Rule Based Classification Systems
21	Guangmei Xu, Hong Bao, Xianyu Meng	Multi-Relational Classification in Imbalanced Domains.	ISICA	2008	DBLP DOI BibTeX RDF	multi-relational data mining (MRDM), sampling, mutual information, naive Bayes, imbalanced dataset
20	He-Yong Wang	Combination approach of SMOTE and biased-SVM for imbalanced datasets.	IJCNN	2008	DBLP DOI BibTeX RDF
19	Yuxuan Yang, Hadi Akbarzadeh Khorshidi, Uwe Aickelin	Cluster-based Diversity Over-sampling: A Density and Diversity Oriented Synthetic Over-sampling for Imbalanced Data.	IJCCI	2022	DBLP DOI BibTeX RDF
19	Shigeto Tanaka, Yuji Gohda, Yasuhiro Sugimoto	The realization of a mismatch-free and 1.5-bit over-sampling pipelined ADC.	ISCAS (6)	2005	DBLP DOI BibTeX RDF
16	Albert Orriols-Puig, Ester Bernadó-Mansilla	Evolutionary rule-based systems for imbalanced data sets.	Soft Comput.	2009	DBLP DOI BibTeX RDF	Classification, Rule-based systems, Imbalanced data, Data preprocessing
16	T. Maruthi Padmaja, Narendra Dhulipalla, P. Radha Krishna 0001, Raju S. Bapi, Arijit Laha	An Unbalanced Data Classification Model Using Hybrid Sampling Technique for Fraud Detection.	PReMI	2007	DBLP DOI BibTeX RDF	Hybrid Sampling and Data Mining, Fraud detection, VDM, SMOTE
16	Yang Liu 0008, Aijun An, Xiangji Huang 0001	Boosting Prediction Accuracy on Imbalanced Datasets with SVM Ensembles.	PAKDD	2006	DBLP DOI BibTeX RDF
16	Gustavo E. A. P. A. Batista, Ronaldo C. Prati, Maria Carolina Monard	Balancing Strategies and Class Overlapping.	IDA	2005	DBLP DOI BibTeX RDF
15	Fangyuan Yang, Kang Wang, Lisha Sun, Mengjiao Zhai, Jiejie Song, Hong Wang	A hybrid sampling algorithm combining synthetic minority over-sampling technique and edited nearest neighbor for missed abortion diagnosis.	BMC Medical Informatics Decis. Mak.	2022	DBLP DOI BibTeX RDF
15	Hao Ding, Bin Wei, Zhaorui Gu, Zhibin Yu 0002, Haiyong Zheng, Bing Zheng, Juan Li	KA-Ensemble: towards imbalanced image classification ensembling under-sampling and over-sampling.	Multim. Tools Appl.	2020	DBLP DOI BibTeX RDF
15	Romero F. A. B. de Morais, Germano C. Vasconcelos	Boosting the performance of over-sampling algorithms through under-sampling the minority class.	Neurocomputing	2019	DBLP DOI BibTeX RDF
15	Rozita Jamili Oskouei, Bahram Sadeghi Bigham	Over-sampling via under-sampling in strongly imbalanced data.	Int. J. Adv. Intell. Paradigms	2017	DBLP DOI BibTeX RDF
15	Nutthaporn Junsomboon, Tanasanee Phienthrakul	Combining Over-Sampling and Under-Sampling Techniques for Imbalance Dataset.	ICMLC	2017	DBLP DOI BibTeX RDF
15	Chumphol Bunkhumpornpat, Krung Sinapiromsaran	CORE: core-based synthetic minority over-sampling and borderline majority under-sampling technique.	Int. J. Data Min. Bioinform.	2015	DBLP DOI BibTeX RDF
15	A. Zughrat, Mahdi Mahfouf, S. Thornton	Performance evaluation of SVM and iterative FSVM classifiers with bootstrapping-based over-sampling and under-sampling.	FUZZ-IEEE	2015	DBLP DOI BibTeX RDF
15	Huaxiang Zhang, Mingfang Li	RWO-Sampling: A random walk over-sampling approach to imbalanced data classification.	Inf. Fusion	2014	DBLP DOI BibTeX RDF
15	Ginny Y. Wong, Frank H. F. Leung, Sai-Ho Ling	A novel evolutionary preprocessing method based on over-sampling and under-sampling for imbalanced datasets.	IECON	2013	DBLP DOI BibTeX RDF
15	Akira Hirabayashi, Laurent Condat	Torwards a general formulation for over-sampling and under-sampling.	EUSIPCO	2007	DBLP BibTeX RDF
13	Chengjie Tu, Trac D. Tran, Jie Liang 0001	Over-sampled and under-sampled Pre/post-filters for block DCT coders.	ICIP	2004	DBLP DOI BibTeX RDF
12	Shuo Wang 0005, Xin Yao 0001	Diversity analysis on imbalanced data sets by using ensemble models.	CIDM	2009	DBLP DOI BibTeX RDF
12	Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard	A Study with Class Imbalance and Random Sampling for a Decision Tree Learning System.	IFIP AI	2008	DBLP DOI BibTeX RDF
12	Liang Tao, Hon Keung Kwan	Novel DCT-based real-valued discrete Gabor transform.	ISCAS	2008	DBLP DOI BibTeX RDF
10	Ke Wang, Tongqing Zhou, Menghua Luo, Xionglve Li, Zhiping Cai	Generative adversarial minority enlargement - A local linear over-sampling synthetic method.	Expert Syst. Appl.	2024	DBLP DOI BibTeX RDF
10	Jiuxiang Song, Jizhong Liu	Multi-fidelity model based on synthetic minority over-sampling technique.	Multim. Tools Appl.	2024	DBLP DOI BibTeX RDF
10	Shadi Abudalfa, Kevin Bouchard	Two-stage RFID approach for localizing objects in smart homes based on gradient boosted decision trees with under- and over-sampling.	J. Reliab. Intell. Environ.	2024	DBLP DOI BibTeX RDF
10	B. Padmavathi, A. Bhagyalakshmi, D. Kavitha, P. Indumathy	An optimized Bi-LSTM with random synthetic over-sampling strategy for network intrusion detection.	Soft Comput.	2024	DBLP DOI BibTeX RDF
10	Runtao Yang, Jiaming Liu, Qian Zhang, Lina Zhang	Multi-view feature fusion and density-based minority over-sampling technique for amyloid protein prediction under imbalanced data.	Appl. Soft Comput.	2024	DBLP DOI BibTeX RDF
10	Kunpeng Li, Junjie Xu, Huimin Zhao 0002, Wu Deng	A clustered borderline synthetic minority over-sampling technique for balancing quick access recorder data.	J. Intell. Fuzzy Syst.	2023	DBLP DOI BibTeX RDF
10	Yamijala Anusha, R. Visalakshi, Konda Srinivas	Imbalanced data classification using improved synthetic minority over-sampling technique.	Multiagent Grid Syst.	2023	DBLP DOI BibTeX RDF
10	Wojciech Kusa, Aldo Lipani, Petr Knoth, Allan Hanbury	An analysis of work saved over sampling in the evaluation of automated citation screening in systematic literature reviews.	Intell. Syst. Appl.	2023	DBLP DOI BibTeX RDF
10	J. Karthika, A. Senthilselvi	An integration of deep learning model with Navo Minority Over-Sampling Technique to detect the frauds in credit cards.	Multim. Tools Appl.	2023	DBLP DOI BibTeX RDF
10	Fang He, Xiaoxia Wu, Wenyu Zhang 0001, Xiaoling Huang	A novel bias-alleviated hybrid ensemble model based on over-sampling and post-processing for fair classification.	Connect. Sci.	2023	DBLP DOI BibTeX RDF
10	Junkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng	SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation.	CoRR	2023	DBLP DOI BibTeX RDF
10	Shuhao Shi, Kai Qiao, Jie Yang, Baojie Song, Jian Chen 0025, Bin Yan 0002	Over-Sampling Strategy in Feature Space for Graphs based Class-imbalanced Bot Detection.	CoRR	2023	DBLP DOI BibTeX RDF
10	Zhenzhe Lv, Qicheng Liu	Imbalanced Data Over-Sampling Method Based on ISODATA Clustering.	IEICE Trans. Inf. Syst.	2023	DBLP DOI BibTeX RDF
10	Yu Pang, Chengdong Wu, Hao Wu 0064, Xiaosheng Yu	Over-sampling strategy-based class-imbalanced salient object detection and its application in underwater scene.	Vis. Comput.	2023	DBLP DOI BibTeX RDF
10	Weidong Chen	Fast algorithms for band-limited extrapolation by over sampling and Fourier series.	EURASIP J. Adv. Signal Process.	2023	DBLP DOI BibTeX RDF
10	Wanqiu Huang, Hanrong Zhang, Peng Peng, Hongwei Wang 0001	Multi-gate Mixture-of-Expert Combined with Synthetic Minority Over-sampling Technique for Multimode Imbalanced Fault Diagnosis.	CSCWD	2023	DBLP DOI BibTeX RDF
10	Wencheng Sun, Zhiping Cai, Xiaoyong Chen	Region-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning.	NCTCS	2023	DBLP DOI BibTeX RDF
10	Ireneusz Czarnowski	Agent-based population learning algorithm for over-sampling in the classification of imbalanced data streams.	KES	2023	DBLP DOI BibTeX RDF
10	Xuhong Lil, Jianghu Hong, Chunqi Shi, Leilei Huang, Boxiao Liu, Hao Deng 0003, Jinghong Chen, Runxi Zhang	A 3.84 GHz 32 fs RMS Jitter Over-Sampling PLL with High-Gain Cross-Switching Phase Detector.	ISCAS	2023	DBLP DOI BibTeX RDF
10	Xuebo Liu 0010, Yiran Wang 0008, Jing Bai, Haoran Li, Xu Wang	An Imbalanced Signal Modulation Classification And Evaluation Method Based On Synthetic Minority Over-Sampling Technique.	IGARSS	2023	DBLP DOI BibTeX RDF
10	Junkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng	SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation.	ACL (1)	2023	DBLP DOI BibTeX RDF
10	Amiratul Diyana Amirruddin, Farrah Melissa Muharam, Mohd Hasmadi Ismail, Ngai Paing Tan, Mohd Firdaus Ismail	Synthetic Minority Over-sampling TEchnique (SMOTE) and Logistic Model Tree (LMT)-Adaptive Boosting algorithms for classifying imbalanced datasets of nutrient and chlorophyll sufficiency levels of oil palm (Elaeis guineensis) using spectroradiometers and unmanned aerial vehicles.	Comput. Electron. Agric.	2022	DBLP DOI BibTeX RDF
10	Yijun Duan, Xin Liu 0020, Adam Jatowt, Haitao Yu 0003, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono	SORAG: Synthetic Data Over-Sampling Strategy on Multi-Label Graphs.	Remote. Sens.	2022	DBLP DOI BibTeX RDF
10	Lin Sun 0002, Mengmeng Li, Weiping Ding 0001, En Zhang, Xiaoxia Mu, Jiucheng Xu	AFNFS: Adaptive fuzzy neighborhood-based feature selection with adaptive synthetic over-sampling for imbalanced data.	Inf. Sci.	2022	DBLP DOI BibTeX RDF
10	Linlan Liu, Yi Feng, Shengrong Gao, Jian Shu	Link quality estimation based on over-sampling and weighted random forest.	Comput. Sci. Inf. Syst.	2022	DBLP DOI BibTeX RDF
10	Emily Hashimoto-Roth, Anuradha Surendra, Mathieu Lavallée-Adam, Steffany A. L. Bennett, Miroslava Cuperlovic-Culf	METAbolomics data Balancing with Over-sampling Algorithms (META-BOA): an online resource for addressing class imbalance.	Bioinform.	2022	DBLP DOI BibTeX RDF
10	Miquel Martí i Rabadán, Sebastian Bujwid, Alessandro Pieropan, Hossein Azizpour, Atsuto Maki	An analysis of over-sampling labeled data in semi-supervised learning with FixMatch.	CoRR	2022	DBLP BibTeX RDF
10	Tianxiang Zhao, Xiang Zhang 0001, Suhang Wang	Synthetic Over-sampling for Imbalanced Node Classification with Graph Neural Networks.	CoRR	2022	DBLP DOI BibTeX RDF
10	Ireneusz Czarnowski	Weighted Ensemble with one-class Classification and Over-sampling and Instance selection (WECOI): An approach for learning from imbalanced data streams.	J. Comput. Sci.	2022	DBLP DOI BibTeX RDF
10	Dede Kurniadi, Fitri Nuraeni, Nia Abania, Leni Fitriani, Asri Mulyani, Yoga Handoko Agustin	Scholarship Recipients Prediction Model using k-Nearest Neighbor Algorithm and Synthetic Minority Over-sampling Technique.	ICSET	2022	DBLP DOI BibTeX RDF
10	Yijun Duan, Xin Liu 0020, Adam Jatowt, Haitao Yu 0003, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono	Anonymity can Help Minority: A Novel Synthetic Data Over-Sampling Strategy on Multi-label Graphs.	ECML/PKDD (2)	2022	DBLP DOI BibTeX RDF
10	Miquel Martí, Sebastian Bujwid, Alessandro Pieropan, Hossein Azizpour, Atsuto Maki	An analysis of over-sampling labeled data in semi-supervised learning with FixMatch.	NLDL	2022	DBLP DOI BibTeX RDF
10	Fernando Correia Braga, Norton Trevisan Roman, Diego Falceta-Gonçalves	The Effects of Under and Over Sampling in Exoplanet Transit Identification with Low Signal-to-Noise Ratio Data.	BRACIS (1)	2022	DBLP DOI BibTeX RDF
10	Hassina Hadjadj, Halim Sayoud	Arabic Authorship Attribution Using Synthetic Minority Over-Sampling Technique and Principal Components Analysis for Imbalanced Documents.	Int. J. Cogn. Informatics Nat. Intell.	2021	DBLP DOI BibTeX RDF
10	Jieming Ma, David Olalekan Afolabi, Jie Ren, Aiyan Zhen	Predicting Seminal Quality via Imbalanced Learning with Evolutionary Safe-Level Synthetic Minority Over-Sampling Technique.	Cogn. Comput.	2021	DBLP DOI BibTeX RDF
10	Paria Soltanzadeh, Mahdi Hashemzadeh	RCSMOTE: Range-Controlled synthetic minority over-sampling technique for handling the class imbalance problem.	Inf. Sci.	2021	DBLP DOI BibTeX RDF
10	Gao Yang, Qicheng Liu	An Over Sampling Method of Unbalanced Data Based on Ant Colony Clustering.	IEEE Access	2021	DBLP DOI BibTeX RDF
10	Minjae Son, Seungwon Jung, Seungmin Jung, Eenjun Hwang	BCGAN: A CGAN-based over-sampling model using the boundary class for data balancing.	J. Supercomput.	2021	DBLP DOI BibTeX RDF
10	Shikai Guo, Jian Dong, Hui Li 0014, Jiahui Wang	Software defect prediction with imbalanced distribution by radius-synthetic minority over-sampling technique.	J. Softw. Evol. Process.	2021	DBLP DOI BibTeX RDF
10	Gilles Vandewiele, Isabelle Dehaene, György Kovács 0002, Lucas Sterckx, Olivier Janssens, Femke Ongenae, Femke De Backere, Filip De Turck, Kristien Roelens, Johan Decruyenaere, Sofie Van Hoecke, Thomas Demeester	Overly optimistic prediction results on imbalanced data: a case study of flaws and benefits when applying over-sampling.	Artif. Intell. Medicine	2021	DBLP DOI BibTeX RDF
10	Renshuai Tao, Yanlu Wei, Hainan Li, Aishan Liu, Yifu Ding, Haotong Qin, Xianglong Liu 0001	Over-sampling De-occlusion Attention Network for Prohibited Items Detection in Noisy X-ray Images.	CoRR	2021	DBLP BibTeX RDF
10	Reza Lotfian, Carlos Busso	Over-Sampling Emotional Speech Data Based on Subjective Evaluations Provided by Multiple Individuals.	IEEE Trans. Affect. Comput.	2021	DBLP DOI BibTeX RDF
10	Xu Wang, Shunfang Wang	RNA-binding protein sequence prediction method based on ensemble learning and data over-sampling.	ICACI	2021	DBLP DOI BibTeX RDF
10	Ireneusz Czarnowski	Learning from Imbalanced Data Streams Based on Over-Sampling and Instance Selection.	ICCS (3)	2021	DBLP DOI BibTeX RDF
10	Hongle Du, Thelma D. Palaoag	Dynamic weighted majority based on over-sampling for imbalanced data streams.	CIIS	2021	DBLP DOI BibTeX RDF
10	Ireneusz Czarnowski	Learning from Imbalanced Data Using Over-Sampling and the Firefly Algorithm.	ICCCI	2021	DBLP DOI BibTeX RDF
10	Zhaoke Huang, Chunhua Yang 0001, Xiaofang Chen, Keke Huang, Yongfang Xie	Adaptive over-sampling method for classification with application to imbalanced datasets in aluminum electrolysis.	Neural Comput. Appl.	2020	DBLP DOI BibTeX RDF
10	Vicente García 0001, J. Salvador Sánchez 0001, A. I. Marqués, Rogelio Florencia Juárez, Gilberto Rivera Zárate	Understanding the apparent superiority of over-sampling through an analysis of local information for class-imbalanced data.	Expert Syst. Appl.	2020	DBLP DOI BibTeX RDF
10	Ireimis Leguen-devarona, Julio Madera, Yoan Martínez-López, José Carlos Hernández-Nieto	Over-sampling imbalanced datasets using the Covariance Matrix.	EAI Endorsed Trans. Energy Web	2020	DBLP DOI BibTeX RDF
10	Xiaowei Gu, Plamen P. Angelov, Eduardo A. Soares	A self-adaptive synthetic over-sampling technique for imbalanced classification.	Int. J. Intell. Syst.	2020	DBLP DOI BibTeX RDF
10	Xinmin Tao, Qing Li 0024, Wenjie Guo, Chao Ren 0007, Qing He 0004, Rui Liu, Junrong Zou	Adaptive weighted over-sampling for imbalanced datasets based on density peaks clustering with heuristic filtering.	Inf. Sci.	2020	DBLP DOI BibTeX RDF
10	Baochang Xu, Likun Yuan, Yaxin Wang	An Over-Sampling Amplitude-Limited Variational Bayesian Method for the Identification of Hammerstein Model.	IEEE Access	2020	DBLP DOI BibTeX RDF
10	Ahmad S. Tarawneh, Ahmad B. A. Hassanat, Khalid Almohammadi, Dmitry Chetverikov, Colin Bellinger	SMOTEFUNA: Synthetic Minority Over-Sampling Technique Based on Furthest Neighbour Algorithm.	IEEE Access	2020	DBLP DOI BibTeX RDF
10	Mohammad Mahdi NezhadShokouhi, Mohammad Ali Majidi, Abbas Rasoolzadegan	Software defect prediction using over-sampling and feature extraction based on Mahalanobis distance.	J. Supercomput.	2020	DBLP DOI BibTeX RDF
10	Gilles Vandewiele, Isabelle Dehaene, György Kovács 0002, Lucas Sterckx, Olivier Janssens, Femke Ongenae, Femke De Backere, Filip De Turck, Kristien Roelens, Johan Decruyenaere, Sofie Van Hoecke, Thomas Demeester	Overly Optimistic Prediction Results on Imbalanced Data: Flaws and Benefits of Applying Over-sampling.	CoRR	2020	DBLP BibTeX RDF
10	Hadi Akbarzadeh Khorshidi, Uwe Aickelin	Synthetic Over-sampling with the Minority and Majority classes for imbalance problems.	CoRR	2020	DBLP BibTeX RDF
10	Hadi Mansourifar, Weidong Shi	Deep Synthetic Minority Over-Sampling Technique.	CoRR	2020	DBLP BibTeX RDF
10	Muhammad Fazal Ijaz, Muhammad Attique 0001, Youngdoo Son	Data-Driven Cervical Cancer Prediction Model with Outlier Detection and Over-Sampling Methods.	Sensors	2020	DBLP DOI BibTeX RDF
10	Zhentao Liu, Bao-Han Wu, Dan-Yun Li, Peng Xiao, Jun-Wei Mao	Speech Emotion Recognition Based on Selective Interpolation Synthetic Minority Over-Sampling Technique in Small Sample Environment.	Sensors	2020	DBLP DOI BibTeX RDF
10	Maitree Leekha, Mononito Goswami, Minni Jain	A Multi-task Approach to Open Domain Suggestion Mining Using Language Model for Text Over-Sampling.	ECIR (2)	2020	DBLP DOI BibTeX RDF
10	Hongtao Guan, Xingkong Ma, Siqi Shen	DOS-GAN: A Distributed Over-Sampling Method Based on Generative Adversarial Networks for Distributed Class-Imbalance Learning.	ICA3PP (3)	2020	DBLP DOI BibTeX RDF
10	Minjae Son, Seungwon Jung, Jihoon Moon, Eenjun Hwang	BCGAN-Based Over-Sampling Scheme for Imbalanced Data.	BigComp	2020	DBLP DOI BibTeX RDF
10	Jin-Cheng Li	Imbalanced Toxicity Prediction Using Multi-Task Learning and Over-Sampling.	ICMLC	2020	DBLP DOI BibTeX RDF