_ | imbalance | _ |
Adaptive Margin Diversity Regularizer for Handling Data | imbalance | in Zero-Shot SBIR |
Addressing Class | imbalance | in Multilabel Prototype Generation for k-nearest Neighbor Classification |
Addressing Class | imbalance | in Scene Graph Parsing by Learning to Contrast and Score |
Addressing the Big Data Multi-class | imbalance | Problem with Oversampling and Deep Learning Neural Networks |
Addressing the class- | imbalance | and class-overlap problems by a metaheuristic-based under-sampling approach |
Adjusting the | imbalance | ratio by the dimensionality of imbalanced data |
Adversarial Pairwise Reverse Attention for Camera Performance | imbalance | in Person Re-Identification: New Dataset And Metrics |
Alleviating Class-Wise Gradient | imbalance | for Pulmonary Airway Segmentation |
Analysing the Safe, Average and Border Samples on Two-Class | imbalance | Problems in the Back-Propagation Domain |
Analyzing Overfitting Under Class | imbalance | in Neural Networks for Image Segmentation |
Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit | imbalance | s |
Attention Guided Cosine Margin to Overcome Class- | imbalance | in Few-Shot Road Object Detection |
Bag Oversampling Approach for Class | imbalance | in Multiple Instance Learning, A |
Calibration of End-to-End Phase | imbalance | of Polarimetric Radiometers |
Categorizing the feature space for two-class | imbalance | learning |
CCL: Class-Wise Curriculum Learning for Class | imbalance | Problems |
Channel | imbalance | Calibration Based on the Zero Helix of Bragg-like Targets |
Channel | imbalance | s and Along-Track Baseline Estimation for the GF-3 Azimuth Multichannel Mode |
Class | imbalance | Problem in TLC Image Classification, The |
Class- | imbalance | aware CNN extension for high resolution aerial image based vehicle localization and categorization |
Class-wise Difficulty-balanced Loss for Solving Class- | imbalance | |
Co-polarization channel | imbalance | determination by the use of bare soil |
Co-polarization channel | imbalance | phase estimation by corner-reflector-like targets |
coarse-to-fine pattern parser for mitigating the issue of drastic | imbalance | in pixel distribution, A |
Constructing Balance from | imbalance | for Long-Tailed Image Recognition |
Cost-Effective Class- | imbalance | Aware CNN for Vehicle Localization and Categorization in High Resolution Aerial Images |
CRLB for I/Q | imbalance | Estimation in FMCW Radar Receivers |
Debiased Scene Graph Generation for Dual | imbalance | Learning |
Decadal Changes of the Reflected Solar Radiation and the Earth Energy | imbalance | |
Deep Generative Mixture Model for Robust | imbalance | Classification |
Deep Generative Model for Robust | imbalance | Classification |
Detecting image points of diverse | imbalance | |
Detecting image points of general | imbalance | |
Dual autoencoders features for | imbalance | classification problem |
Dynamic Graph Convolutional Network-Based Prediction of the Urban Grid-Level Taxi Demand-Supply | imbalance | Using GPS Trajectories |
Earth's Energy | imbalance | Measured From Space |
Efficient Channel | imbalance | Estimation Method Based on Subadditivity of Linear Normed Space of Sub-Band Spectrum for Azimuth Multichannel SAR, An |
eGAN: Unsupervised Approach to Class | imbalance | Using Transfer Learning |
Elevation Multi-Channel | imbalance | Calibration Method of Digital Beamforming Synthetic Aperture Radar |
Empirical Study for the Multi-class | imbalance | Problem with Neural Networks, An |
Empirical Study of Oversampling and Undersampling for Instance Selection Methods on | imbalance | Datasets, An |
Enhancement of DNN-based multilabel classification by grouping labels based on data | imbalance | and label correlation |
Exploring and Utilizing Pattern | imbalance | |
Exploring Issues of Training Data | imbalance | and Mislabelling on Random Forest Performance for Large Area Land Cover Classification Using the Ensemble Margin |
F-measure curves: A tool to visualize classifier performance under | imbalance | |
Full Convolutional Neural Network Based on Multi-Scale Feature Fusion for the Class | imbalance | Remote Sensing Image Classification |
Handling Data | imbalance | in Automatic Facial Action Intensity Estimation |
hybrid method to face class overlap and class | imbalance | on neural networks and multi-class scenarios, A |
| imbalance | and Concentration in k-NN Classification |
| imbalance | Compensation Framework for Background Subtraction, An |
| imbalance | knowledge-driven multi-modal network for land-cover semantic segmentation using aerial images and LiDAR point clouds |
| imbalance | Problems in Object Detection: A Review |
| imbalance | Robust Softmax for Deep Embeeding Learning |
| imbalance | -Aware Adaptive Margin Loss for Fair Multi-Label Face Attribute Recognition |
| imbalance | -XGBoost: leveraging weighted and focal losses for binary label-imbalanced classification with XGBoost |
impact of class | imbalance | in classification performance metrics based on the binary confusion matrix, The |
Improved Cross-Dataset Facial Expression Recognition by Handling Data | imbalance | and Feature Confusion |
Improving Multispectral Pedestrian Detection by Addressing Modality | imbalance | Problems |
Incremental Learning Algorithm for Non-stationary Environments and Class | imbalance | , An |
Interest point detection using | imbalance | oriented selection |
Interest Points of General | imbalance | |
Inverse random under sampling for class | imbalance | problem and its application to multi-label classification |
Joint I/Q | imbalance | s estimation using data-dependent superimposed training |
Latent Preserving Generative Adversarial Network for | imbalance | Classification |
Loss Re-Scaling VQA: Revisiting the Language Prior Problem From a Class- | imbalance | View |
LRID: A new metric of multi-class | imbalance | degree based on likelihood-ratio test |
Measuring Class- | imbalance | Sensitivity of Deterministic Performance Evaluation Metrics |
Measuring the class- | imbalance | extent of multi-class problems |
Minimizing the | imbalance | Problem in Chromatographic Profile Classification with One-Class Classifiers |
Minimum variance-embedded kernelized extension of extreme learning machine for | imbalance | learning |
Mitigating | imbalance | of Land Cover Change Data for Deep Learning Models with Temporal and Spatiotemporal Sample Weighting Schemes |
Modified Back-Propagation Algorithm to Deal with Severe Two-Class | imbalance | Problems on Neural Networks, A |
Multi-label sampling based on local label | imbalance | |
multi-objective optimisation approach for class | imbalance | learning, A |
Novel Contrast Pattern Selection Method for Class | imbalance | Problems, A |
Novel Polarimetric Channel | imbalance | Phase Estimation Method Based on the Rotated Double-Bounce Backscatters in Urban Areas, A |
One-per-Class reconstruction rule for class | imbalance | learning, A |
Optimal Power Allocation for OFDMA Systems Under I/Q | imbalance | |
Ordinal Class | imbalance | with Ranking |
Overcoming Classifier | imbalance | for Long-Tail Object Detection With Balanced Group Softmax |
Pedestrian Detection Based on | imbalance | Prior for Surveillance Video |
Performance Analysis of Channel | imbalance | Control and Azimuth Ambiguity Suppression in Azimuth Dual Receiving Antenna Mode of LT-1 Spaceborne SAR System |
Performance Index of Convolutional Neural Network-Based Classifiers in Class | imbalance | Problem, The |
Phase | imbalance | Analysis of GF-3 Along-Track InSAR Data and Ocean Current Measurements |
PoiseNet: Dealing With Data | imbalance | in DensePose |
Precise Calibration of Channel | imbalance | for Very High Resolution SAR With Stepped Frequency |
reduced universum twin support vector machine for class | imbalance | learning, A |
Redundancy-driven modified Tomek-link based undersampling: A solution to class | imbalance | |
Residual objectness for | imbalance | reduction |
Resolving Class | imbalance | for LiDAR-based Object Detector by Dynamic Weight Average and Contextual Ground Truth Sampling |
Revisiting Class | imbalance | for End-to-end Semi-Supervised Object Detection |
Revisiting Modality | imbalance | In Multimodal Pedestrian Detection |
Robust geodesic based outlier detection for class | imbalance | problem |
Robust Visual Tracking Via An | imbalance | -Elimination Mechanism |
RUESVMs: An Ensemble Method to Handle the Class | imbalance | Problem in Land Cover Mapping Using Google Earth Engine |
Sample | imbalance | disease classification model based on association rule feature selection |
Selecting and Interpreting Multiclass Loss and Accuracy Assessment Metrics for Classifications with Class | imbalance | : Guidance and Best Practices |
Semantic-Guided Class- | imbalance | Learning Model for Zero-Shot Image Classification |
Sensing the Nighttime Economy-Housing | imbalance | from a Mobile Phone Data Perspective: A Case Study in Shanghai |
Ship Recognition for SAR Scene Images under | imbalance | Data |
Spatial and Temporal Characteristic Analysis of | imbalance | Usage in the Hangzhou Public Bicycle System |
Strategies for learning in class | imbalance | problems |
Strategies for Tackling the Class | imbalance | Problem in Marine Image Classification |
Synthetic minority oversampling technique for multiclass | imbalance | problems |
Towards Tackling Multi-Label | imbalance | s in Remote Sensing Imagery |
Unified Algorithm for Channel | imbalance | and Antenna Phase Center Position Calibration of a Single-Pass Multi-Baseline TomoSAR System, A |
Urbanization Level in Chinese Counties: | imbalance | Pattern and Driving Force |
Using ensemble margin to explore issues of training data | imbalance | and mislabeling on large area land cover classification |
VaB-AL: Incorporating Class | imbalance | and Difficulty with Variational Bayes for Active Learning |
Valid oversampling schemes to handle | imbalance | |
Watchlist | imbalance | Effect in Biometric Face Identification: Comparing Theoretical Estimates and Empiric Measurements, The |
Weighted Point Cloud Augmentation for Neural Network Training Data Class- | imbalance | |
WeStcoin: Weakly-Supervised Contextualized Text Classification with | imbalance | and Noisy Labels |
When Overlapping Unexpectedly Alters the Class | imbalance | Effects |
114 for imbalance
_ | imbalanced | _ |
Active Learning for | imbalanced | Civil Infrastructure Data |
Active Learning for | imbalanced | Datasets |
Active microscopic cellular image annotation by superposable graph transduction with | imbalanced | labels |
Adaptive selection of ensembles for | imbalanced | class distributions |
Adjusting the imbalance ratio by the dimensionality of | imbalanced | data |
Adversarial Examples for Good: Adversarial Examples Guided | imbalanced | Learning |
Analysis of an evolutionary RBFN design algorithm, CO2RBFN, for | imbalanced | data sets |
Analysis of Properties of Malignant Cases for | imbalanced | Breast Thermogram Feature Classification, An |
Analyzing the oversampling of different classes and types of examples in multi-class | imbalanced | datasets |
Annealing Genetic GAN for | imbalanced | Web Data Learning |
Appropriateness of performance indices for | imbalanced | data classification: An analysis |
Auxiliary Classifier Generative Adversarial Network With Soft Labels in | imbalanced | Acoustic Event Detection |
BalaGAN: Cross-Modal Image Translation Between | imbalanced | Domains |
Balanced Affinity Loss for Highly | imbalanced | Baggage Threat Contour-Driven Instance Segmentation |
Balanced MSE for | imbalanced | Visual Regression |
balanced random learning strategy for CNN based Landsat image segmentation under | imbalanced | and noisy labels, A |
Balanced Vs | imbalanced | Training Data: Classifying Rapideye Data With Support Vector Machines |
Bilayer Sparse Topic Model for Scene Analysis in | imbalanced | Surveillance Videos |
CABNet: Category Attention Block for | imbalanced | Diabetic Retinopathy Grading |
CGAN-plankton: Towards large-scale | imbalanced | class generation and fine-grained classification |
Class Rectification Hard Mining for | imbalanced | Deep Learning |
Class Switching according to Nearest Enemy Distance for learning from highly | imbalanced | data-sets |
Classification of High Dimensional and | imbalanced | Hyperspectral Imagery Data |
Classification of | imbalanced | Remote Sensing Data by Neural Networks |
Classifying | imbalanced | data sets using similarity based hierarchical decomposition |
Climate Adaptation: Reliably Predicting from | imbalanced | Satellite Data |
Cluster-Wise Weighted NMF for Hyperspectral Images Unmixing with | imbalanced | Data |
CNN-based repetitive self-revised learning for photos' aesthetics | imbalanced | classification |
Commercial Vehicle Activity Prediction With | imbalanced | Class Distribution Using a Hybrid Sampling and Gradient Boosting Approach |
Complementary Ordering Method for Class | imbalanced | Problem, A |
Conditional semi-fuzzy c-means clustering for | imbalanced | dataset |
Constrained Bipartite Graph Learning for | imbalanced | Multi-Modal Retrieval |
ConvGeN: A convex space learning approach for deep-generative oversampling and | imbalanced | classification of small tabular datasets |
ConvNeXt-Haze: A Fog Image Classification Algorithm for Small and | imbalanced | Sample Dataset Based on Convolutional Neural Network |
CoSSL: Co-Learning of Representation and Classifier for | imbalanced | Semi-Supervised Learning |
Cost-sensitive boosting for classification of | imbalanced | data |
Cost-sensitive design of quadratic discriminant analysis for | imbalanced | data |
Cost-Sensitive Large margin Distribution Machine for classification of | imbalanced | data |
Cost-Sensitive Latent Space Learning for | imbalanced | PolSAR Image Classification |
CReST: A Class-Rebalancing Self-Training Framework for | imbalanced | Semi-Supervised Learning |
Custom Weighted Balanced Loss function for Covid 19 Detection from an | imbalanced | CXR Dataset |
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for | imbalanced | Semi-Supervised Learning |
Data Augmentation of Minority Class with Transfer Learning for Classification of | imbalanced | Breast Cancer Dataset Using Inception-V3 |
De-biasing Neural Networks with Estimated Offset for Class | imbalanced | Learning |
Debiased Learning from Naturally | imbalanced | Pseudo-Labels |
Decomposition Methods and Learning Approaches for | imbalanced | Dataset: An Experimental Integration |
Deep | imbalanced | Attribute Classification Using Visual Attention Aggregation |
Deep | imbalanced | Learning for Face Recognition and Attribute Prediction |
Deep Learning Method of Landslide Inventory Map with | imbalanced | Samples in Optical Remote Sensing |
Deep Learning-Based Hyperspectral Object Classification Approach via | imbalanced | Training Samples Handling, A |
Deep representation of | imbalanced | spatio-temporal traffic flow data for traffic accident detection |
Deep-Ensemble-Level-Based Interpretable Takagi-Sugeno-Kang Fuzzy Classifier for | imbalanced | Data, A |
Defectnet: Multi-Class Fault Detection on Highly- | imbalanced | Datasets |
Detection of Invasive Species in Wetlands: Practical DL with Heavily | imbalanced | Data |
DGSSC: A Deep Generative Spectral-Spatial Classifier for | imbalanced | Hyperspectral Imagery |
Discrete Box-Constrained Minimax Classifier for Uncertain and | imbalanced | Class Proportions |
Discriminative feature generation for classification of | imbalanced | data |
Dissimilarity-Based Learning from | imbalanced | Data with Small Disjuncts and Noise |
Distribution-sensitive learning for | imbalanced | datasets |
Doubly supervised parameter transfer classifier for diagnosis of breast cancer with | imbalanced | ultrasound imaging modalities |
Doubly Supervised Transfer Classifier for Computer-Aided Diagnosis With | imbalanced | Modalities |
Driving Safety Risk Prediction Using Cost-Sensitive With Nonnegativity-Constrained Autoencoders Based on | imbalanced | Naturalistic Driving Data |
Drop Loss for Person Attribute Recognition With | imbalanced | Noisy-Labeled Samples |
DSPOTE: Density-induced Selection Probability-based Oversampling TEchnique for | imbalanced | Learning |
Dual Compensation Residual Networks for Class | imbalanced | Learning |
Dual Loss for Manga Character Recognition with | imbalanced | Training Data |
Dual Self-Paced SMOTE for | imbalanced | Data |
Dynamic Curriculum Learning for | imbalanced | Data Classification |
Dynamic Effective Class Balanced Approach for Remote Sensing Imagery Semantic Segmentation of | imbalanced | Data, A |
effect of | imbalanced | data sets on LDA: A theoretical and empirical analysis, The |
Effective | imbalanced | Classification of Breast Thermogram Features |
Efficiency of Extreme Gradient Boosting for | imbalanced | Land Cover Classification Using an Extended Margin and Disagreement Performance |
Efficient Classification of | imbalanced | Natural Disasters Data Using Generative Adversarial Networks for Data Augmentation |
Efficient Gaussian Process Model on Class- | imbalanced | Datasets for Generalized Zero-Shot Learning |
Efficient Generative Adversarial Networks for | imbalanced | Traffic Collision Datasets |
efficient weighted Lagrangian twin support vector machine for | imbalanced | data classification, An |
Empirical Study of the Behavior of Classifiers on | imbalanced | and Overlapped Data Sets, An |
Enhanced automatic twin support vector machine for | imbalanced | data classification |
Entropy-based matrix learning machine for | imbalanced | data sets |
EUSBoost: Enhancing ensembles for highly | imbalanced | data-sets by evolutionary undersampling |
Explicitly Semantic Guidance for Face Sketch Attribute Recognition With | imbalanced | Data |
Exploring Vision-Language Models for | imbalanced | Learning |
Extending version-space theory to multi-label active learning with | imbalanced | data |
Extract minimum positive and maximum negative features for | imbalanced | binary classification |
Facing | imbalanced | Classes through Aggregation of Classifiers |
Feature augmentation for | imbalanced | classification with conditional mixture WGANs |
FGBC: Flexible graph-based balanced classifier for class- | imbalanced | semi-supervised learning |
Focal learning on stranger for | imbalanced | image segmentation |
Fundus Image-Label Pairs Synthesis and Retinopathy Screening via GANs With Class- | imbalanced | Semi-Supervised Learning |
Fuzzy prototype selection-based classifiers for | imbalanced | data. Case study |
Fuzzy rough classifiers for class | imbalanced | multi-instance data |
FW-SMOTE: A feature-weighted oversampling approach for | imbalanced | classification |
GAN-SR Anomaly Detection Model Based on | imbalanced | Data |
Gaussian Affinity for Max-Margin Class | imbalanced | Learning |
Generative Inference Network for | imbalanced | Domain Generalization |
Geometric | imbalanced | deep learning with feature scaling and boundary sample mining |
GeometricSMOTE-Enhanced Deep Gaussian Mixture Models for | imbalanced | Data Classification |
GIR-based ensemble sampling approaches for | imbalanced | learning |
global-to-local scheme for | imbalanced | point matching, A |
Gradient-based Sampling for Class | imbalanced | Semi-supervised Object Detection |
Graph Ensemble Boosting for | imbalanced | Noisy Graph Stream Classification |
Grouping-based Oversampling in Kernel Space for | imbalanced | Data Classification |
Handling | imbalanced | Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization |
Handling | imbalanced | data sets with synthetic boundary data generation using bootstrap re-sampling and AdaBoost techniques |
Handling | imbalanced | Datasets by Partially Guided Hybrid Sampling for Pattern Recognition |
Hellinger Distance Trees for | imbalanced | Streams |
Hierarchical-Instance Contrastive Learning for Minority Detection on | imbalanced | Medical Datasets |
High-Resolution Remote Sensing Imagery Classification of | imbalanced | Data Using Multistage Sampling Method and Deep Neural Networks |
Hybrid Approach Handling | imbalanced | Datasets, A |
Hybrid Classification of | imbalanced | Hyperspectral Images Using ADASYN and Enhanced Deep Subsampled Multi-Grained Cascaded Forest, A |
Hybrid Data Balancing Method for Classification of | imbalanced | Training Data within Google Earth Engine: Case Studies from Mountainous Regions, A |
Hybrid Kernel Machine Ensemble for | imbalanced | Data Sets |
Hybrid Representation of | imbalanced | Points for Two-Layer Matching, A |
Hypered Deep-Learning-Based Model of Hyperspectral Images Generation and Classification for | imbalanced | Data, A |
Hyperspectral Image Classification With | imbalanced | Data Based on Orthogonal Complement Subspace Projection |
IDA-GAN: A Novel | imbalanced | Data Augmentation GAN |
Image Anomaly Detection with Capsule Networks and | imbalanced | Datasets |
Imbalance-XGBoost: leveraging weighted and focal losses for binary label- | imbalanced | classification with XGBoost |
| imbalanced | Continual Learning with Partitioning Reservoir Sampling |
| imbalanced | data classification using second-order cone programming support vector machines |
| imbalanced | Deep Learning by Minority Class Incremental Rectification |
| imbalanced | image classification with complement cross entropy |
| imbalanced | Learning in Land Cover Classification: Improving Minority Classes' Prediction Accuracy Using the Geometric SMOTE Algorithm |
| imbalanced | Malware Family Classification Using Multimodal Fusion and Weight Self-Learning |
| imbalanced | Open Set Domain Adaptation via Moving-Threshold Estimation and Gradual Alignment |
| imbalanced | Problem in Morphological Galaxy Classification, The |
| imbalanced | RankBoost for efficiently ranking large-scale image/video collections |
| imbalanced | regression for intensity series of pain expression from videos by regularizing spatio-temporal face nets |
| imbalanced | Underwater Acoustic Target Recognition with Trigonometric Loss and Attention Mechanism Convolutional Network |
ImbSAM: A Closer Look at Sharpness-Aware Minimization in Class- | imbalanced | Recognition |
Importance of subject-dependent classification and | imbalanced | distributions in driver sleepiness detection in realistic conditions |
Improved Inference and Prediction for | imbalanced | Binary Big Data Using Case-Control Sampling: A Case Study on Deforestation in the Amazon Region |
Improving Model Accuracy for | imbalanced | Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical Study |
Improving Representation of the Positive Class in | imbalanced | Multiple-Instance Learning |
Influence-Balanced Loss for | imbalanced | Visual Classification |
Inter vs. Intra Domain Study of Covid Chest X-ray Classification with | imbalanced | Datasets |
Kernel modified optimal margin distribution machine for | imbalanced | data classification |
Large-Scale Object Detection in the Wild From | imbalanced | Multi-Labels |
Learning classifiers from | imbalanced | data based on biased minimax probability machine |
Learning Deep Representation for | imbalanced | Classification |
Learning From | imbalanced | Data With Deep Density Hybrid Sampling |
Learning | imbalanced | Data with Vision Transformers |
Learning | imbalanced | Datasets With Maximum Margin Loss |
Learning in | imbalanced | relational data |
Learning maximum excluding ellipsoids from | imbalanced | data with theoretical guarantees |
Learning rebalanced human parsing model from | imbalanced | datasets |
Local ensemble learning from | imbalanced | and noisy data for word sense disambiguation |
Location bagging-based undersampling for | imbalanced | classification problems |
Loss factors for learning Boosting ensembles from | imbalanced | data |
M2m: | imbalanced | Classification via Major-to-Minor Translation |
Machine Learning Classification of Endangered Tree Species in a Tropical Submontane Forest Using WorldView-2 Multispectral Satellite Imagery and | imbalanced | Dataset |
Managing | imbalanced | Data Sets in Multi-label Problems: A Case Study with the SMOTE Algorithm |
Maximum Margin of Twin Spheres Support Vector Machine for | imbalanced | Data Classification |
MEA-Net: A Lightweight SAR Ship Detection Model for | imbalanced | Datasets |
Melodic Track Identification in MIDI Files Considering the | imbalanced | Context |
Meta Learning on a Sequence of | imbalanced | Domains with Difficulty Awareness |
MetaAP: A meta-tree-based ranking algorithm optimizing the average precision from | imbalanced | data |
Metric Learning from | imbalanced | Data with Generalization Guarantees |
Minority Class Oriented Active Learning for | imbalanced | Datasets |
Multi-Attribute Learning With Highly | imbalanced | Data |
Multi-class Boosting for | imbalanced | Data |
Multi-class Pattern Classification in | imbalanced | Data |
Multiset Feature Learning for Highly | imbalanced | Data Classification |
MVFFNet: Multi-view feature fusion network for | imbalanced | ship classification |
Neural network for ordinal classification of | imbalanced | data by minimizing a Bayesian cost |
new hierarchical algorithm based on CapsGAN for | imbalanced | image classification, A |
New Performance Evaluation Method for Two-Class | imbalanced | Problems, A |
Noise-Filtered Under-Sampling Scheme for | imbalanced | Classification, A |
Noise-robust oversampling for | imbalanced | data classification |
Normalized class coherence change-based kNN for classification of | imbalanced | data |
Novel Adaptive Minority Oversampling Technique for Improved Classification in Data | imbalanced | Scenarios, A |
Novel Bayesian Framework for Online | imbalanced | Learning, A |
Novel Class- | imbalanced | Ship Motion Data-Based Cross-Scale Model for Sea State Estimation, A |
Novel classifier scheme for | imbalanced | problems |
Novel Double Ensemble Algorithm for the Classification of Multi-Class | imbalanced | Hyperspectral Data, A |
novel ensemble method for classifying | imbalanced | data, A |
novel modular neural network for | imbalanced | classification problems, A |
Object detection based on semi-supervised domain adaptation for | imbalanced | domain resources |
Offset Curves Loss for | imbalanced | Problem in Medical Segmentation |
On Multi-Domain Long-Tailed Recognition, | imbalanced | Domain Generalization and Beyond |
On the performance of Matthews correlation coefficient (MCC) for | imbalanced | dataset |
One-Sided Prototype Selection on Class | imbalanced | Dissimilarity Matrices |
Optimal Transport View of Class- | imbalanced | Visual Recognition, An |
Oversampling | imbalanced | data in the string space |
Oversampling Methods for Classification of | imbalanced | Breast Cancer Malignancy Data |
Parallel Perceptrons, Activation Margins and | imbalanced | Training Set Pruning |
Parallel selective sampling method for | imbalanced | and large data classification |
Parameter selection of Gaussian kernel for cost-sensitive support vector machines in | imbalanced | data classification |
Performance Analysis of Two-Stage Iterative Ensemble Method over Random Oversampling Methods on Multiclass | imbalanced | Datasets |
Personalized Retrogress-Resilient Federated Learning Toward | imbalanced | Medical Data |
Plankton Classification on | imbalanced | Dataset via Hybrid Resample Method with LightBGM |
Plankton classification on | imbalanced | large scale database via convolutional neural networks with transfer learning |
PLM: Partial Label Masking for | imbalanced | Multi-label Classification |
Polichotomies on | imbalanced | Domains by One-per-Class Compensated Reconstruction Rule |
Polyp Detection via | imbalanced | Learning and Discriminative Feature Learning |
Positional Encoding: Improving Class- | imbalanced | Motorcycle Helmet use Classification |
Potential Anchoring for | imbalanced | data classification |
Predicting Hourly Boarding Demand of Bus Passengers Using | imbalanced | Records From Smart-Cards: A Deep Learning Approach |
Predicting the Influence of Additional Training Data on Classification Performance for | imbalanced | Data |
Prediction and Mapping of Cochlodinium Polykrikoides Red Tide Using Machine Learning Under | imbalanced | Data |
Procrustean Training for | imbalanced | Deep Learning |
Radial-Based Undersampling for | imbalanced | data classification |
random forests quantile classifier for class | imbalanced | data, A |
RankMix: Data Augmentation for Weakly Supervised Learning of Classifying Whole Slide Images with Diverse Sizes and | imbalanced | Categories |
Re-Balancing Strategy for Class- | imbalanced | Classification Based on Instance Difficulty, A |
regularized ensemble framework of deep learning for cancer detection from multi-class, | imbalanced | training data, A |
Reverse-nearest neighborhood based oversampling for | imbalanced | , multi-label datasets |
Ridge Regression based classifiers for large scale class | imbalanced | datasets |
RSG: A Simple but Effective Module for Learning | imbalanced | Datasets |
SaR: Self-adaptive Refinement on Pseudo Labels for Multiclass- | imbalanced | Semi-supervised Learning |
Scalable Exemplar-Based Subspace Clustering Algorithm for Class- | imbalanced | Data, A |
Searching for Patterns in | imbalanced | Data |
Segmented Local Offset Method for | imbalanced | Data Classification Using Quasi-Linear Support Vector Machine, A |
Semi-Supervised | imbalanced | Multi-Label Classification with Label Propagation |
Semi-Supervised Semantic Segmentation of Class- | imbalanced | Images: A Hierarchical Self-Attention Generative Adversarial Network |
Siamese networks with an online reweighted example for | imbalanced | data learning |
Single Model Deep Learning on | imbalanced | Small Datasets for Skin Lesion Classification |
SMOTE-Based Weighted Deep Rotation Forest for the | imbalanced | Hyperspectral Data Classification |
Spectral-Spatial-Dependent Global Learning Framework for Insufficient and | imbalanced | Hyperspectral Image Classification, A |
Spontaneous Subtle Expression Recognition: | imbalanced | Databases and Solutions |
STLRF-Stack: A fault prediction model for pure electric vehicles based on a high dimensional | imbalanced | dataset |
Study of Prototype Selection Algorithms for Nearest Neighbour in Class- | imbalanced | Problems, A |
supervised learning approach for | imbalanced | data sets, A |
Supervised Two-Stage Transfer Learning on | imbalanced | Dataset for Sport Classification |
SVMs Modeling for Highly | imbalanced | Classification |
Synthetic pattern generation for | imbalanced | learning in image retrieval |
Systematic Review on | imbalanced | Data Challenges in Machine Learning: Applications and Solutions, A |
Tale of Two CILs: The Connections between Class Incremental Learning and Class | imbalanced | Learning, and Beyond, A |
Teaching Squeeze-and-Excitation PyramidNet for | imbalanced | Image Classification with GAN-based Curriculum Learning |
Theoretical Analysis of a Performance Measure for | imbalanced | Data |
Time Series Transductive Classification on | imbalanced | Data Sets: An Experimental Study |
Towards Fair Knowledge Transfer for | imbalanced | Domain Adaptation |
Training of Classifiers for Quality Control of On-Line Laser Brazing Processes with Highly | imbalanced | Datasets |
Travel Mode Choice Prediction Using | imbalanced | Machine Learning |
Tree Species Abundance Predictions in a Tropical Agricultural Landscape with a Supervised Classification Model and | imbalanced | Data |
Two-Stage Seismic Damage Assessment Method for Small, Dense, and | imbalanced | Buildings in Remote Sensing Images, A |
Unbalanced Datasets, | imbalanced | Sample Sizes, Imbalanced Data, Long-Tailed Data |
Unbalanced Datasets, | imbalanced | Sample Sizes, Imbalanced Data, Long-Tailed Data |
Understanding | imbalanced | Semantic Segmentation Through Neural Collapse |
Understanding the Challenges When 3D Semantic Segmentation Faces Class | imbalanced | and OOD Data |
Unifying Distribution Alignment as a Loss for | imbalanced | Semi-supervised Learning |
Unsupervised Domain Adaptation with | imbalanced | Character Distribution for Scene Text Recognition |
Unsupervised Domain Adaptation with | imbalanced | Cross-Domain Data |
Visually | imbalanced | Stereo Matching |
Wasserstein Generative Adversarial Network to Address the | imbalanced | Data Problem in Real-Time Crash Risk Prediction |
Weight-Selection Strategy on Training Deep Neural Networks for | imbalanced | Classification, A |
Weighted conditional mutual information based boosting for classification of | imbalanced | datasets |
WENN for individualized cleaning in | imbalanced | data |
248 for imbalanc