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Multi-class Classification

Multi-class classification is a type of supervised learning where the goal is to assign an input to one of three or more distinct classes. Unlike binary classification (which has only two classes), multi-class classification handles multiple labels and uses algorithms like logistic regression, decision trees, random forests, SVMs, or neural networks to predict the correct category based on the features of the input data.

Papers

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Showing 401–425 of 903 papers

TitleStatusHype
University of Bucharest Team at Semeval-2022 Task4: Detection and Classification of Patronizing and Condescending Language—0
Out-of-Distribution Detection for Long-tailed and Fine-grained Skin Lesion ImagesCode0
Deep reinforced active learning for multi-class image classification—0
Truly Unordered Probabilistic Rule Sets for Multi-class ClassificationCode0
Beyond Adult and COMPAS: Fairness in Multi-Class PredictionCode0
Lightweight Conditional Model Extrapolation for Streaming Data under Class-Prior ShiftCode0
Multi-class Classification with Fuzzy-feature Observations: Theory and AlgorithmsCode0
Fuzzy granular approximation classifierCode0
Tackling Irony Detection using Ensemble ClassifiersCode0
Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification—0
Machine and Deep Learning Applications to Mouse Dynamics for Continuous User AuthenticationCode0
Deep Learning-based automated classification of Chinese Speech Sound Disorders—0
Visualizing CoAtNet Predictions for Aiding Melanoma Detection—0
On the Calibration of Probabilistic Classifier Sets—0
Incident duration prediction using a bi-level machine learning framework with outlier removal and intra-extra joint optimisationCode0
SSN_MLRG1@LT-EDI-ACL2022: Multi-Class Classification using BERT models for Detecting Depression Signs from Social Media Text—0
SSN_MLRG3 @LT-EDI-ACL2022-Depression Detection System from Social Media Text using Transformer Models—0
GJG@TamilNLP-ACL2022: Using Transformers for Abusive Comment Classification in Tamil—0
GJG@TamilNLP-ACL2022: Emotion Analysis and Classification in Tamil using Transformers—0
Logically at the Constraint 2022: Multimodal role labelling—0
Aanisha@TamilNLP-ACL2022:Abusive Detection in Tamil—0
"Flux+Mutability": A Conditional Generative Approach to One-Class Classification and Anomaly Detection—0
Wound Severity Classification using Deep Neural Network—0
The Tree Loss: Improving Generalization with Many Classes—0
Few-Shot Transfer Learning to improve Chest X-Ray pathology detection using limited tripletsCode0
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All datasetsCOVID-19 CXR DatasetCOVID chest X-rayReuters-52TII-SSRC-23Training and validation dataset of capsule vision 2024 challenge.

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1COVID-CXNetAccuracy (%)94.2—Unverified
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1COVID-ResNetF1 score0.9—Unverified
#ModelMetricClaimedVerifiedStatus
1SVM (tficf)Macro F173.9—Unverified
#ModelMetricClaimedVerifiedStatus
1Extra TreesF1-Score93.36—Unverified
#ModelMetricClaimedVerifiedStatus
1Multi-Model EnsembleMean AUC0.99—Unverified