KBA: kernel boundary alignment considering imbalanced data distribution

Wu, G., Chang, E.Y.·2005·IEEE Transactions on Knowledge and Data Engineering
DOI 10.1109/tkde.2005.95

Cited by (380)

Items 301–380 of 380

  1. Robust Speaker Modeling for Speaker Verification in Noisy Environments
    K. Sreenivasa Rao, Sourjya Sarkar · 2014 · Springer briefs in electrical and computer engineering
  2. Supervector-based approaches in a discriminative framework for speaker verification in noisy environments
    Sourjya Sarkar, K. Sreenivasa Rao · 2017 · International Journal of Speech Technology
  3. On the Usefulness of Fuzzy Rule Based Systems Based on Hierarchical Linguistic Fuzzy Partitions
    Alberto Fernández, Victoria López, María José del Jesús, Francisco Herrera · 2011 · Intelligent systems reference library
  4. MTSbag: A Method to Solve Class Imbalance Problems
    Yu‐Hsiang Hsiao, Chao‐Ton Su, Pin-Cheng Fu, Mu‐Chen Chen · 2018 · IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)
  5. Oversampling the minority class using a dedicated fitness function and genetic algorithmic progression
    Payel Sadhukhan, Sarbani Palt · 2021 · Concurrency and Computation Practice and Experience
  6. An Improved Naive Bayes Classifier on Imbalanced Attributes
    S Geetha, R Maniyosai · 2019 · International Journal of Organizational and Collective Intelligence
  7. Optimized bio-inspired kernels with twin support vector machine using low identity sequences to solve imbalance multiclass classification
    Sharon Kaur Guramand, Rd. Rohmat Saedudin, rohayanti binti hassan, Shahreen binti Kasim, Rohaizan Ramlan, Baraa Wasfi Salim · 2019 · Journal of Environmental Biology
  8. Retracted: Design and Development of EGB Classification Model for predicting Heart Diseases
    Kolluru Venkata Nagendra, Maligela Ussenaiah, Nuvvusetty Rajasekhar · 2020 · International Conference on Innovative Mechanisms for Industry Applications · Retracted
  9. Learning Algorithms
    Man‐Wai Mak, Jen‐Tzung Chien · 2020 · Cambridge University Press eBooks
  10. Investigation of artificial immune systems and variable selection techniques for credit scoring
    Leung Kan Hing, Kevin · 2010 · RMIT Research Repository (RMIT University Library)
  11. Floatcascade learning for fast imbalanced web mining
    Xiaoxun Zhang, Xueying Wang, Honglei Guo, Zhili Guo, Xian Wu, Zhong Su · 2008 · International World Wide Web Conference (WWW)
  12. GA-Based Feature Selection Method for Imbalanced Data with Application in Radio Signal Recognition
    Limin Du, Yang Xu, Jun Liu, Fangli Ma · 2015 · International Journal of Computational Intelligence Systems
  13. Responding to Challenge Call of Machine Learning Model Development in Diagnosing Respiratory Disease Sounds
    Negin Melek · 2022 · SSRN Electronic Journal
  14. Weighted neural network for imbalanced information with undersampling
    Simegnew Yihunie Alaba, Nahian Alam Siddique, Emrah Benli, Dominik Enns, Yuichi Motai · 2025 · Array
  15. Máquinas de Soporte Vectorial sobre Conjuntos de Datos no Balanceados: Propuesta de un Nuevo Sesgo
    Haydemar Núñez Castro, Luis González Abril, Cecilio Ángulo · 2012
  16. Gaussian Mixture Model-Based Subspace Modeling for Semantic Concept Retrieval
    Chao Chen, Mei‐Ling Shyu, Shu‐Ching Chen · 2015 · IEEE International Conference on Information Reuse and Integration (IRI)
  17. A Hybrid Algorithm to Improve the Accuracy of Support Vector Machines on Skewed Data-Sets
    Jair Cervantes, De-Shuang Huang, Farid García‐Lamont, Asdrúbal López‐Chau · 2014 · Lecture notes in computer science
  18. WTEN: An Advanced Coupled Tensor Factorization Strategy for Learning from Imbalanced Data
    Quan Do, Thanh Pham, Wei Liu, Kotagiri Ramamohanarao · 2016 · Lecture notes in computer science
  19. Barricaded Boundary Minority Oversampling LS-SVM for a Biased Binary Classification
    Hmayag Partamian, Yara Rizk, Mariette Awad · 2018 · Lecture notes in computer science
  20. AI-Powered Lithium-Ion Battery State of Charge Estimation for Enhanced Electric Vehicle Efficiency
    Gadigi Shashibhushan · 2023 · International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)
  21. Application of Mean-Variance Cloning Technique to Investigate the Comparative Performance Analysis of Classical Classifiers on Imbalance and Balanced Data
    Friday Zinzendoff Okwonu, Nor Aishah Ahad, Joshua Sarduana Apanapudor, Festus Irimisose Arunaye, Olimjon Shukurovich Sharipov · 2024 · Lecture notes in networks and systems
  22. Classification of Dry Beans into Genetic Varieties Using Deep Learning-Based Convolutional Neural Networks (CNNs)
    Sajid Faysal Fahim, Mehrab Chowdhury, Abin Roy, Md Safayet Islam, Sanjida Simla, Mohammad Belayet Hossain, Md Al-Imran · 2024 · Lecture notes in networks and systems
  23. Application of artificial intelligence to operational real-time clear-air turbulence prediction
    Jennifer Abernethy, Robert D. Sharman, Elizabeth Bradley · 2008
  24. Adapting MultiBoost ensemble for class imbalanced learning
    Ghulam Mustafa, Zhendong Niu, Jie Chen · 2015 · IEEE International Conference on Cybernetics (CYBCONF)
  25. A study of visual behavior of multidimensional scaling for kernel perceptron algorithm
    Che-Chang Hsu, Kuo‐Shong Wang, Hung‐Yuan Chung, Shih-Hsing Chang · 2014 · Neural Computing and Applications
  26. A Review on Novel Approach to Handle Imbalanced Credit Card Transactions
    Sudhansu Ranjan Lenka, Bikram K. Ratha, Biswaranjan Nayak · 2018 · International Journal of Engineering Trends and Technology
  27. Uniformly Interpolated Balancing for Robust Prediction in Translation Quality Estimation
    Hyun Joong Kim, Seung‐Hoon Na · 2020 · ACM Transactions on Asian and Low-Resource Language Information Processing
  28. Robust Speaker Verification
    Man‐Wai Mak, Jen‐Tzung Chien · 2020 · Cambridge University Press eBooks
  29. Developing a Robust Classifier for Fault Detection in Production Environment
    Long‐Sheng Chen, Chun-Chin Hsu, Li-Fei Chen · 2009 · IFAC Proceedings Volumes
  30. Forecasting cholera disease using SARIMA and LSTM models with discrete wavelet transform as feature selection
    Ahmad Hauwa Amshi, Rajesh Prasad, Birendra Kumar Sharma · 2023 · Journal of Intelligent & Fuzzy Systems
  31. UGRWO-Sampling: A modified random walk under-sampling approach based on graphs to imbalanced data classification
    Saeideh Roshanfekr, Shahriar Esmaeili, Hassan Ataeian, Neda Maleki Khas, Ali Amiri · 2020 · arXiv (Cornell University)
  32. Imbalanced Data Learning
    Edward Y. Chang · 2011 · Springer eBooks
  33. Imbalanced Learning
    2011
  34. Advancing Preeclampsia Prediction: A Tailored Machine Learning Pipeline for Handling Imbalanced Medical Data (Preprint)
    Yinyao Ma, Hanlin Lv, Yanhua Ma, Xiao Wang, Longting Lv, Xuxia Liang, Lei Wang · 2024
  35. Semantic Modeling and Knowledge Representation for Multimedia Data
    Edward Y. Chang · 2018 · Encyclopedia of Database Systems
  36. Imbalanced Data Problem of Relevance Vector Machine Customer Identification
    Gang Li, Li Zhang, Gui-long Wang · 2011 · Communications in computer and information science
  37. Class Information Adapted Kernel for Support Vector Machine
    Tasadduq Imam, Kevin S. Tickle · 2010 · Lecture notes in computer science
  38. Sistemas de clasificación basados en reglas difusas lingüísticas aplicadas a problemas con clases no balanceadas
    Alberto Fernández Hilario · 2011 · Institutional Repository of the University of Granada (University of Granada)
  39. Selecting the Optimal Combination Model of FSSVM for the Imbalance Datasets
    Chuandong Qin, Huixia Zhao · 2014 · Mathematical Problems in Engineering
  40. A first analysis of the effect of local and global optimization weights methods in the cooperative-competitive design of RBFN for imbalanced environments
    María Dolores Pérez-Godoy, Antonio J. Rivera, María José del Jesús, F. Martinez · 2013 · International Joint Conference on Neural Networks (IJCNN)
  41. A conversation with Dr. Edward Y. Chang
    Edward Y. Chang · 2012 · ACM SIGKDD Explorations Newsletter
  42. Mis-classified instance learning and recovery in classification
    Yun Zhu, Yanqing Zhang, Yi Feng Pan · 2012 · IEEE International Conference on Granular Computing (GrC)
  43. gSVMT: Aggregating SVMs over a dynamic grid learned from data
    Shaoning Pang, Tao Ban, Youki Kadobayashi, Nikola Kirilov Kasabov · 2008 · International Conference on Computer and Information Technology (ICCIT)
  44. Data Mining mit der Support Vektor Maschine
    Stefan Lessmann · 2008
  45. Model Selection: An Empirical Study on Two Kernel Classifiers
    Wei Chu · 2006 · International Joint Conference on Neural Networks (IJCNN)
  46. Sequential extreme learning machines for class imbalance and concept drift
    Bilal Mirza · 2015
  47. Boosting for Learning From Imbalanced, Multiclass Data Sets
    Mohamed Abouelenien · 2013
  48. Supervised speech separation and processing
    Kun Han · 2014 · OhioLink ETD Center (Ohio Library and Information Network)
  49. SVM imbalance correction by conformal kernel transformations
    Álvaro Barbero Jiménez · 2008 · Biblos-e Archivo (Universidad Autónoma de Madrid)
  50. Improving Supervised Classification of Daily Activities Living Using New Cost Sensitive Criterion for C-SVM
    M’hamed Bilal Abidine, Belkacem Fergani · 2013
  51. Large margin classifications and their applications in computer vision
    Xuchun Li · 2007
  52. Robust speaker verification
    Manh Cuong Nguyen · 2014 · DR-NTU (Nanyang Technological University)
  53. Advances in Algorithms for Re-Sampling Class-Imbalanced Educational Data Sets
    William Rivera, Amit Kumar Goel, J. Peter Kincaid · 2016 · Advances in educational marketing, administration, and leadership book series
  54. New descriptor for object detection using an improved ensemble-based technique
    Amin Mohamed Ahsan · 2015
  55. Oversampling Methods for Imbalanced Dataset Classification and their Application to Gynecological Disorder Diagnosis
    Iman Nekooeimehr · 2016 · Digital Commons - University of South Florida (University of South Florida)
  56. a priori synthetic sampling for increasing classification sensitivity in imbalanced data sets
    William Rivera · 2016 · Journal of International Crisis and Risk Communication Research
  57. DATA-DRIVEN TECHNIQUES FOR DIAGNOSING BEARING DEFECTS IN INDUCTION MOTORS
    Maryam Farajzadeh Zanajni · 2017
  58. VPSO-Based CCR-ELM for Imbalanced Classification
    Yinan Guo, Pei Zhang, Ning Cui, Jingjing Chen, Jian Cheng · 2018 · Lecture notes in computer science
  59. Large Margin Distribution Machine for Imbalanced Data Classification
    Dingxiang Wang, Xiaogang Zhang, Fanyong Cheng · 2018 · World Congress on Intelligent Control and Automation
  60. Semantic Modeling and Knowledge Representation for Multimedia Data
    2011 · SpringerReference
  61. Applying machine learning methods to electronic health records: studies in risk-stratification of chronic kidney disease and hypertrophic cardiomyopathy
    Moumita Bhattacharya · 2024 · Library, Museums and Press - UDSpace (University of Delaware)
  62. Deep Learning Models
    Man‐Wai Mak, Jen‐Tzung Chien · 2020 · Cambridge University Press eBooks
  63. Preface
    Man‐Wai Mak, Jen‐Tzung Chien · 2020
  64. Exercises
    Man‐Wai Mak, Jen‐Tzung Chien · 2020
  65. Future Direction
    Man‐Wai Mak, Jen‐Tzung Chien · 2020 · Cambridge University Press eBooks
  66. Bibliography
    Diane J. Cook, Narayanan Chatapuram Krishnan · 2015
  67. Introduction
    Man‐Wai Mak, Jen‐Tzung Chien · 2020 · Cambridge University Press eBooks
  68. Dimension Reduction and Data Augmentation
    Man‐Wai Mak, Jen‐Tzung Chien · 2020 · Cambridge University Press eBooks
  69. Semantic Modeling and Knowledge Representation for Multimedia Data
    Edward Y. Chang · 2009 · Encyclopedia of Database Systems
  70. Index
    Man‐Wai Mak, Jen‐Tzung Chien · 2020 · Cambridge University Press eBooks
  71. An Effective Online Stream Feature Selection Auxiliary Method for High-Dimensional Unbalanced Data
    Xingtong Qian, Yinghua Zhou · 2023 · International Conference on Computer Communication and Artificial Intelligence (CCAI)
  72. Class Imbalance Learning Using Fuzzy SVM with Fuzzy Weighted Gaussian Kernel
    Janasruthi, Kuldip Katiyar · 2024 · Communications in computer and information science
  73. Foundations of expected points in rugby union: A methodological approach
    Guillermo Martinez-Arastey, Naomi Datson, Neal A Smith, Matthew T. Robins · 2025 · Journal of Sports Analytics
  74. Semantic Modeling and Knowledge Representation for Multimedia Data
    Edward Y. Chang · 2016 · Encyclopedia of Database Systems
  75. Fuzzy Support Vector Machine Design for Tolerant Underwater Acoustic Environments
    Shaoxiang Guo · 2025 · International Conference on Information Communication and Signal Processing (ICICSP)
  76. OBM: An Optimized Balanced Support Vector Machine Multiclass Classification Scheme
    Hua Shen, Haocheng Jiang, Weidong Wen, Ge Wu, Mingwu Zhang · 2025
  77. Active Learning Methods for Interactive Exploration on Large Databases
    Enhui Huang · 2021
  78. Quantization for support vector machines
    Xiaochun Wang · 2026 · Elsevier eBooks
  79. An Evidential Dynamic Neighborhood Approach to Learn from Imbalanced Data
    Md. Eusha Kadir, Md. Mumtahin Habib Ullah Mazumder, Muhammad Alam, Mohammad Shoyaib · 2026 · Annals of Data Science
  80. Machine-Learning-Based Model for Indicators of the Resource-Based Security of Interests in High-Level Organizational Systems
    С. Я. СКИБИК, А.Yu. Doroshenko, O.P. Ilyina, I.P. Sinitsyn · 2025