SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 351–375 of 903 papers

TitleStatusHype
Deep reinforced active learning for multi-class image classification—0
Truly Unordered Probabilistic Rule Sets for Multi-class ClassificationCode0
Multimodal Attention-based Deep Learning for Alzheimer's Disease DiagnosisCode1
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
Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in RussianCode1
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
Fast ABC-Boost: A Unified Framework for Selecting the Base Class in Multi-Class ClassificationCode1
Visualizing CoAtNet Predictions for Aiding Melanoma Detection—0
On the Calibration of Probabilistic Classifier Sets—0
Training Uncertainty-Aware Classifiers with Conformalized Deep LearningCode1
Incident duration prediction using a bi-level machine learning framework with outlier removal and intra-extra joint optimisationCode0
GJG@TamilNLP-ACL2022: Using Transformers for Abusive Comment Classification in Tamil—0
Event-Event Relation Extraction using Probabilistic Box EmbeddingCode1
Aanisha@TamilNLP-ACL2022:Abusive Detection in Tamil—0
GJG@TamilNLP-ACL2022: Emotion Analysis and Classification in Tamil using Transformers—0
SSN_MLRG3 @LT-EDI-ACL2022-Depression Detection System from Social Media Text using Transformer Models—0
Logically at the Constraint 2022: Multimodal role labelling—0
SSN_MLRG1@LT-EDI-ACL2022: Multi-Class Classification using BERT models for Detecting Depression Signs from Social Media Text—0
VISTA: Vision Transformer enhanced by U-Net and Image Colorfulness Frame Filtration for Automatic Retail CheckoutCode1
Show:102550
← PrevPage 15 of 37Next →
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
#ModelMetricClaimedVerifiedStatus
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