Learning Pattern Classification Tasks with Imbalanced Data Sets

Cited by (177)

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19. Imbalanced Augmented Class Learning with Unlabeled Data by Label Confidence Propagation
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21. Feature selection and Ensemble Hierarchical Cluster-based Under-sampling approach for extremely imbalanced datasets: Application to gene classification
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22. A Review on Ensembles-Based Approach to Overcome Class Imbalance Problem
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23. Discrimination of Golgi Proteins Through Efficient Exploitation of Hybrid Feature Spaces Coupled With SMOTE and Ensemble of Support Vector Machine
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24. Arabic Authorship Attribution Using Synthetic Minority Over-Sampling Technique and Principal Components Analysis for Imbalanced Documents
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29. A Novel Martingale Based Model Using a Smartphone to Detect Gait Bout in Human Activity Recognition
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30. Anomaly detection of android malware using One-Class K-Nearest Neighbours (OC-KNN)
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31. An ensemble method using small training sets for imbalanced data sets: Application to drugs used for kinases
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32. A Voronoi Diagram Based Classifier for Multiclass Imbalanced Data Sets
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33. Experimental Comparison of Classification Methods under Class Imbalance
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34. EEG Anomaly Detection using Generative Adversarial Networks (GANs)
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35. A sight on defect detection methods for imbalanced industrial data
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36. Enhancing Classification Performance over Noise and Imbalanced Data Problems
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37. Removing Class Imbalance using Polarity-GAN: An Uncertainty Sampling Approach
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38. Prediction and Design of Protease Enzyme Specificity Using a Structure-Aware Graph Convolutional Network
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39. Comparative Study of SMOTE and Bootstrapping Performance Based on Predication Methods
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41. ass Detection and Classification using Machine Learning Techniques in Digital Mammograms
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42. Ensemble Classifier Approach in Breast Cancer Detection and Malignancy Grading - A Review
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43. A novel approach in oversampling algorithm for imbalanced data sets in the context of ordinal classification
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44. Norm ball classifier for one-class classification
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45. Machine Learning methods for mood disorder decision support
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46. Handling the Imbalanced Problem in Agro-Food Data Analysis
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47. The One-Versus-One Classification Technique Based on Data Synthesis with Appropriate Distant Neighbors
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48. Designing Cellular Automata-Based Pattern Classifier for Imbalance Dataset
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49. Towards Mining Patterns for Exploratory Search with Keval Algorithm
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50. A Clustering Resampling Stacked Ensemble Method for Imbalance Classification Problem
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51. A Study on Machine Learning Based Classification of Crystal Structures in ABO3 Perovskites
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52. Predicting preschool problems
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53. Evaluating AI Models and Predictors for COVID-19 Infection Dependent on Data from Patients with Cancer or Not: A Systematic Review
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54. TOP: An Efficient Two-Levels of Positive Resampling Framework for Class Imbalanced Data
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55. A Review on Novel Approach to Handle Imbalanced Credit Card Transactions
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56. SUPPORT VECTOR MACHINE METHOD TO IDENTIFY AND CLASSIFY ASTRONOMICAL OBJECTS
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57. Hybrid Algorithm for Tuning Feature Weights in a Fuzzy Classifier
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58. Computational Drug Target Prediction: Benchmark and Experiments
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59. Knowledge Extraction from Work Instructions through Text Processing and Analysis
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60. Southwest Pacific Tropical Cyclone Frequency and Intensity Related to Observed and Modeled Geophysical and Aerosol Variables
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61. Learning from Imbalanced Multi-label Data Sets by Using Ensemble Strategies
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62. Histogram-based embedding for learning on statistical manifolds
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63. Boosting for Learning From Imbalanced, Multiclass Data Sets
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64. An enhanced resampling technique for imbalanced data sets
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65. ROAD DETECTION USING MORPHOLOGICAL OPERATIONS IN A COMPLEX SCENARIO
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66. Multi-objective evolutionary algorithms of spiking neural networks
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67. A Learning Objective Controllable Sphere-Based Method for Balanced and Imbalanced Data Classification
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68. A Survey on Data Mining Techniques for COVID Prediction
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69. Detection of mitotic HEp-2 cell images: role of feature representation and classification framework under class skew
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70. Attribute Selection, Sampling, and Classifier Methods to Address Class Imbalance Issues on Data Set Having Ratio Less Than Five
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76. AWSSS: Adaptive Weighted Statistical Space Smoothing for Regression with Imbalance Data
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