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Venues (Conferences, Journals, ...)
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GrowBag graphs for keyword ? (Num. hits/coverage)
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The graphs summarize 80 occurrences of 62 keywords
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Results
Found 253 publication records. Showing 253 according to the selection in the facets
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 |
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