KBA: kernel boundary alignment considering imbalanced data distribution

Cited by (380)

Items 201–300 of 380

1. Combine Vector Quantization and Support Vector Machine for Imbalanced Datasets
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2. wRACOG: A Gibbs Sampling-Based Oversampling Technique
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3. Class imbalance robust incremental LPSVM for data streams learning
   Lei Zhu, Shaoning Pang, Gang Chen, Abdolhossein Sarrafzadeh · 2012 · International Joint Conference on Neural Networks (IJCNN)
4. Bounded-abstaining classification for breast tumors in imbalanced ultrasound images
   Hongjiao Guan, Yingtao Zhang, Heng-Da Cheng, Xianglong Tang · 2020 · International Journal of Applied Mathematics and Computer Science
5. Affective detection based on an imbalanced fuzzy support vector machine
   Jing Cheng, Guangyuan Liu · 2015 · Biomedical Signal Processing and Control
6. A new rule-based knowledge extraction approach for imbalanced datasets
   Aouatef Mahani, Ahmed Riadh Baba-Ali · 2019 · Knowledge and Information Systems
7. Spam Sender Detection with Classification Modeling on Highly Imbalanced Mail Server Behavior Data.
   Yuchun Tang, Sven Krasser, Dmitri Alperovitch, Paul Judge · 2008 · Artificial Intelligence and Pattern Recognition
8. Ensemble of Cost-Sensitive Hypernetworks for Class-Imbalance Learning
   Jin Wang, Ping-li Huang, Kaiwei Sun, Bao-lin Cao, Rui Qi Zhao · 2013 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
9. Over-Sampling Emotional Speech Data Based on Subjective Evaluations Provided by Multiple Individuals
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10. The forecasting model based on modified SVRM and PSO penalizing Gaussian noise
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11. Dynamic Balanced Training Regimes: Elevating model performance through iterative training with imbalanced superset and balanced subset alternation
    Mrityunjoy Gain, Asadov Amirjon, Sumit Kumar Dam, Apurba Adhikary, Anupam Kumar Bairagi, Rameswar Debnath, Avi Deb Raha · 2025 · Expert Systems with Applications
12. Sintering conditions recognition of rotary kiln based on kernel modification considering class imbalance
    Dingxiang Wang, Xiaogang Zhang, Hua Chen, Yicong Zhou, Fanyong Cheng · 2020 · ISA Transactions
13. Ensemble Learning from Imbalanced Data Set for Video Event Detection
    Yimin Yang, Shu‐Ching Chen · 2015 · IEEE International Conference on Information Reuse and Integration (IRI)
14. CUSTOMER SEGMENTATION AND CLASSIFICATION FROM BLOGS BY USING DATA MINING: AN EXAMPLE OF VOIP PHONE
    Long‐Sheng Chen, Chun-Chin Hsu, Mu‐Chen Chen · 2009 · Cybernetics & Systems
15. Likelihood ratio equivalence and imbalanced binary classification
    Alexander Benítez-Buenache, Lorena Álvarez-Pérez, V.J. Mathews, Aníbal Ramón Figueiras-Vidal · 2019 · Expert Systems with Applications
16. An Evolutionary UnderBagging Approach to Tackle the Survival Prediction of Trauma Patients: A Case Study at the Hospital of Navarre
    José Sanz, Mikel Galar, Humberto Bustince, Tomás Belzunegui Otano · 2019 · IEEE Access
17. A Fuzzy Support Vector Machine for Imbalanced Data Classification
    Xiaohong Fan, Zongyao He · 2010 · International Conference on Optoelectronics and Image Processing
18. Advancing preeclampsia prediction: a tailored machine learning pipeline integrating resampling and ensemble models for handling imbalanced medical data
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19. Using Ensembles for Class-Imbalance Problem to Predict Maintainability of Open Source Software
    Ruchika Malhotra, Kusum Lata · 2020 · International Journal of Reliability Quality and Safety Engineering
20. VISAL—A novel learning strategy to address class imbalance
    Sree Rama Vamsidhar S, Arun Kumar Sivapuram, Vaishnavi Ravi, Gowtham Senthil, Rama Krishna Gorthi · 2023 · Neural Networks
21. Asymmetric Kernel Scaling for Imbalanced Data Classification
    Antonio Maratea, Alfredo Petrosino · 2011 · Lecture notes in computer science
22. Diversity-Aware Weighted Majority Vote Classifier for Imbalanced Data
    Anil Goyal, Jihed Khiari · 2020 · International Joint Conference on Neural Networks (IJCNN)
23. Training SVM email classifiers using very large imbalanced dataset
    Lili Diao, Yang Cheng-zhong, Hao Wang · 2011 · Journal of Experimental & Theoretical Artificial Intelligence
24. Complementary Learning Fuzzy Neural Network: An Approach to Imbalanced Dataset
    Tuan Zea Tan, Geok See Ng, Chai Hiok Quek · 2007 · IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks
25. A post-processing strategy for SVM learning from unbalanced data
    Haydemar Núñez Castro, Luis González Abril, Cecilio Ángulo · 2011 · RECERCAT (Consorci de Serveis Universitaris de Catalunya)
26. Incorporating prior domain knowledge into inductive machine learning : its implementation in contemporary capital markets
    Ting Yu · 2007 · UTS ePRESS (University of Technology Sydney)
27. Re-sampling Approaches for Regression Tasks under Imbalanced Domains
    Paula Alexandra de Oliveira Branco · 2014 · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
28. Kernel Principle Component Analysis and Random Under Sampling Boost Based Fault Diagnosis Method and its Application to a Pressurized Water Reactor
    Yiqing Wang, Peiwei Sun · 2022 · Nuclear Engineering and Design
29. A hybrid approach for classification of rare class data
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30. Synthetic minority oversampling for function approximation problems
    Lourdes Pelayo, Scott Dick · 2019 · International Journal of Intelligent Systems
31. Hygeia: A Multilabel Deep Learning-Based Classification Method for Imbalanced Electrocardiogram Data
    Xiaolong Xu, Haoyan Xu, Liying Wang, Yuanyuan Zhang, Fu Xaio · 2022 · IEEE Transactions on Computational Biology and Bioinformatics
32. GAN-based Data Augmentation for Credit Card Fraud Detection
    Emilija Strelcenia, Simant Prakoonwit · 2022 · IEEE International Conference on Big Data (BigData)
33. Ensemble of different local descriptors, codebook generation methods and subwindow configurations for building a reliable computer vision system
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34. Adaptive Sampling with Optimal Cost for Class-Imbalance Learning
    Yuxin Peng · 2015 · Proceedings of the AAAI Conference on Artificial Intelligence
35. On the Investigation of Artificial Immune Systems on Imbalanced Data Classification for Power Distribution System Fault Cause Identification
    Le Xu, Mo–Yuen Chow, Jon Timmis, L.S. Taylor, Andrew Watkins · 2006 · IEEE Congress on Evolutionary Computation (CEC)
36. Leveraging survival analysis in cost-aware deepnet for efficient hard drive failure prediction
    Jishan Ahmed, Robert Green · 2024 · Neural Computing and Applications
37. One-vs-all for class imbalance learning
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38. Distribution based ensemble for class imbalance learning
    Ghulam Mustafa, Zhendong Niu, Abdallah Yousif, John Kipngetich Tarus · 2015 · International Conference on the Innovative Computing Technology (INTECH)
39. Learning Minority Class prior to Minority Oversampling
    Payel Sadhukhan · 2019 · International Joint Conference on Neural Networks (IJCNN)
40. Ensembles of dense and dense sampling descriptors for the HEp-2 cells classification problem
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41. Adaboost and SVM based cybercrime detection and prevention model
    Hanif Mohaddes Deylami, Yashwant Prasad Singh · 2012 · Artificial Intelligence Research
42. Granular support vector machines based on granular computing, soft computing and statistical learning
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43. Extracting a Fuzzy System by Using Genetic Algorithms for Imbalanced Datasets Classification: Application on Down’s Syndrome Detection
    Vicenç Soler, Marta Prim · 2008 · Studies in computational intelligence
44. A Hybrid PSO-FSVM Model and Its Application to Imbalanced Classification of Mammograms
    Hussein Samma, Chee Peng Lim, Umi Kalthum Ngah · 2013 · Lecture notes in computer science
45. Highly imbalanced classification using improved rotation forests
    Xiaonan Fang, Xiyuan Zheng, Yanyan Tan, Huaxiang Zhang · 2016 · International Journal of Wireless and Mobile Computing
46. Scalpnet: Detection of Spatiotemporal Abnormal Intervals in Epileptic EEG Using Convolutional Neural Networks
    Takahiko Sakai, Taku Shoji, Noboru Yoshida, Kosuke Fukumori, Yuichi Tanaka, Toshihisa Tanaka · 2020 · IEEE International Conference on Acoustics Speech and Signal Processing
47. Domain Adaptation
    Man‐Wai Mak, Jen‐Tzung Chien · 2020 · Cambridge University Press eBooks
48. FISA: Feature-Based Instance Selection for Imbalanced Text Classification
    Aixin Sun, Ee‐Peng Lim, Boualem Benatallah, Mahbub Hassan · 2006 · Lecture notes in computer science
49. Learning Imbalanced Data Sets with a Min-Max Modular Support Vector Machine
    Zhi-Fei Ye, Bao‐Liang Lu · 2007 · IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks
50. Discrete Conditional Phase-Type Model Utilising a Multiclass Support Vector Machine for the Prediction of Retinopathy of Prematurity
    Rebecca Rollins, Adele H. Marshall, Eibhlin McLoone, Sarah Chamney · 2015 · Proceedings - IEEE Symposium on Computer-Based Medical Systems
51. Geometric Mean based Boosting Algorithm to Resolve Data Imbalance Problem
    Myoung-Jong Kim, Dae-Ki Kang · 2013 · Pacific Asia Conference on Information Systems
52. A learning strategy for highly imbalanced classification
    Tong Liu, Yongquan Liang, Weijian Ni · 2011 · International Conference on Internet Multimedia Computing and Service
53. SVM classification for imbalanced data using conformal kernel transformation
    Yong Zhang, Panpan Fu, Wenzhe Liu, Li Zou · 2014 · International Joint Conference on Neural Networks (IJCNN)
54. Support vector machines using Bayesian-based approach in the issue of unbalanced classifications
    Hung‐Yuan Chung, Chih-Hsiang Ho, Che-Chang Hsu · 2011 · Expert Systems with Applications
55. An asymmetric stagewise least square loss function for imbalanced classification
    Guibiao Xu, Bao-Gang Hu, José Carlos Príncipe · 2014 · International Joint Conference on Neural Networks (IJCNN)
56. Predictive Data Mining for Highly Imbalanced Classification
    Madhuri Agrawal, Gajendra Singh, Ravindra Kumar Gupta, Sri Satya · 2012
57. Weighted subspace modeling for semantic concept retrieval using gaussian mixture models
    Chao Chen, Mei‐Ling Shyu, Shu‐Ching Chen · 2016 · Information Systems Frontiers
58. A Novel Approach for Handling Outliers in Imbalanced Data
    G. Rekha, Vuyyuru Krishna Reddy · 2018 · International Journal of Engineering & Technology
59. Boosting Granular Support Vector Machines for the Accurate Prediction of Protein-Nucleotide Binding Sites
    Yiheng Zhu, Jun Sheng Hu, Yong Qi, Xiaoning Song, Dong‐Jun Yu · 2019 · Combinatorial Chemistry & High Throughput Screening
60. Conductor Galloping Detection on Imbalanced Dataset: SVM with Smart Sampling
    Kui Wang, Jian Sun, Chenye Wu, Yang Yu · 2020 · IEEE Power Engineering Society General Meeting
61. Power Distribution Outage Cause Identification using Fuzzy Artificial Immune Recognition Systems (FAIRS) algorithm
    Le Xu, Mo–Yuen Chow, Jon Timmis · 2007 · IEEE Power Engineering Society General Meeting
62. Machine Learning Models
    Jacques Savoy · 2020 · Machine Learning for Speaker Recognition
63. A Rough-Set-Based Two-Class Classifier for Large Imbalanced Dataset
    Junzo Watada, Lee-Chuan Lin, Lei Ding, Mohd Ibrahim Shapiai, Lim Chun Chew, Zuwairie Ibrahim, Lee Wen Jau, Marzuki Khalid · 2010 · Smart innovation, systems and technologies
64. A biased minimax probability machine-based scheme for relevance feedback in image retrieval
    Xiang Peng, Irwin King · 2008 · Neurocomputing
65. Ensemble Learning
    Alberto Fernández, Salvador García, Mikel Galar, Ronaldo Cristiano Prati, Bartosz Krawczyk, Francisco Herrera · 2018 · Springer eBooks
66. Estimating Uncertainty in Line-Level Defect Prediction via Perceptual Borderline Oversampling
    Chen Wu, Shikai Guo, Hui Li, Chenchen Li, Rong Chen · 2025 · ACM Transactions on Software Engineering and Methodology
67. Pressure Ulcers Prediction Using Support Vector Machines
    Yan-Cheng Chen, Pa‐Chun Wang, Chao‐Ton Su · 2008 · International Conference on Wireless Communications, Networking and Mobile Computing
68. Fuzzy Inference System for Data Processing in Industrial Applications
    Silvia Cateni, Valentina Coll · 2012 · InTech eBooks
69. The fuzzy Laplacianclassifier
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70. Evaluation of imbalanced datasets using fuzzy support vector machine-class imbalance learning (FSVM-CIL)
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71. Cost-Sensitive Learning-based Methods for Imbalanced Classification Problems with Applications
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72. Text Mining for U.S. Pension De-Risking Analysis
    Limin Zhang, Ruilin Tian, Jun Chen · 2022 · Risks
73. Performance Analysis of SVM ensemble methods for Air Pollution Data
    Shahid Ali, Sreenivas Sremath Tirumala · 2016 · International Conference on Signal Processing Systems (ICSPS)
74. Equation of SVM-rebalancing: the point-normal form of a plane for class imbalance problem
    Che-Chang Hsu, Kuo‐Shong Wang, Hung‐Yuan Chung, Shih-Hsing Chang · 2018 · Neural Computing and Applications
75. Cluster-Based Under-Sampling Using Farthest Neighbour Technique for Imbalanced Datasets
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76. A Comparison of Ensemble Methods Combining Resampling Techniques for Class Imbalanced Data
    Hee-Jae Leea, Sungim Lee · 2014 · Korean Journal of Applied Statistics
77. A Novel Credit Risk Assessment Model Using a Granular Computing Technique
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78. Performance Comparison of ESVM and CSVM for Classifying the Lung Nodules on CT Scans
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79. Classifier Ensembles with Trajectory Under-Sampling for Face Re-Identification
    Roghayeh Soleymani, Éric Granger, Giorgio Fumera · 2016 · International Conference on Pattern Recognition Applications and Methods
80. Diversifying Support Vector Machines for Boosting using Kernel Perturbation: Applications to Class Imbalance and Small Disjuncts
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81. Artificial Intelligence and Machine Learning in Forensic Accounting
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82. Clustering Based Bagging Algorithm on Imbalanced Data Sets
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83. An Evaluation of Discrete Support Vector Machines for Cost-Sensitive Learning
    Stefan Lessmann, Sven F. Crone, Robert Stahlbock, N. Zacher · 2006 · International Joint Conference on Neural Networks (IJCNN)
84. A Novel Classifier - Weighted Features Cost-Sensitive SVM
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85. Multi‐Nyström Method Based on Multiple Kernel Learning for Large Scale Imbalanced Classification
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86. Improving ANNs Performance on Unbalanced Data with an AUC-Based Learning Algorithm
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87. The Role Of Hubness in High-dimensional Data Analysis
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88. A Fast Multiclass Classification Algorithm Based on Cooperative Clustering
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89. Adapting Fuzzy Points for Very-Imbalanced Datasets
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90. Exploring Hidden Coherent Feature Groups and Temporal Semantics for Multimedia Big Data Analysis
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91. Conductor Galloping Prediction on Imbalanced Datasets: SVM with Smart Sampling
    Kui Wang, Jian Sun, Chenye Wu, Yang Yu · 2019 · arXiv (Cornell University)
92. Imbalanced Dataset Analysis with Neural Network Model
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93. Kernel-Based Representation Alignment for Class Imbalanced Semi-Supervised Learning
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94. Efficient and robust active learning methods for interactive database exploration
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95. ARTIFICIAL NEURAL NETWORKS LEARNING IN ROC SPACE
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96. A Best Balance Ratio Ordered Feature Selection Methodology for Robust and Fast Statistical Analysis of Memory Designs
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97. CODE: A Data Complexity Framework for Imbalanced Datasets
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98. Restoring the Generalizability of SVM Based Decoding in High Dimensional Neuroimage Data
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99. Electronic circuit fault diagnosis methods based on improved Support Vector Machines
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100. A hybrid strategy for imbalanced classification
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