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 376–400 of 903 papers

TitleStatusHype
Computer Aided Detection of Anemia-like Pallor—0
Armijo Line-search Can Make (Stochastic) Gradient Descent Provably Faster—0
Generative Adversarial Networks based on Mixed-Attentions for Citation Intent Classification in Scientific Publications—0
Effective Intrusion Detection for UAV Communications using Autoencoder-based Feature Extraction and Machine Learning Approach—0
Genetic Column Generation for Computing Lower Bounds for Adversarial Classification—0
Conditional-UNet: A Condition-aware Deep Model for Coherent Human Activity Recognition From Wearables—0
Geolocation with Attention-Based Multitask Learning Models—0
Annotation Guidelines-Based Knowledge Augmentation: Towards Enhancing Large Language Models for Educational Text Classification—0
EC3: Combining Clustering and Classification for Ensemble Learning—0
GJG@TamilNLP-ACL2022: Using Transformers for Abusive Comment Classification in Tamil—0
Global Capacity Measures for Deep ReLU Networks via Path Sampling—0
GMM-Based Synthetic Samples for Classification of Hyperspectral Images With Limited Training Data—0
Dysfluencies Seldom Come Alone -- Detection as a Multi-Label Problem—0
Granular Ball K-Class Twin Support Vector Classifier—0
Graph-Based Automatic Feature Selection for Multi-Class Classification via Mean Simplified Silhouette—0
Graph-based Extreme Feature Selection for Multi-class Classification Tasks—0
Graph Convolutional Networks for Classification with a Structured Label Space—0
Biomedical Event Extraction by Multi-class Classification of Pairs of Text Entities—0
Graph Residual based Method for Molecular Property Prediction—0
GraphX^NET- Chest X-Ray Classification Under Extreme Minimal Supervision—0
Harnessing Deep Learning and Satellite Imagery for Post-Buyout Land Cover Mapping—0
Affinity-Based Hierarchical Learning of Dependent Concepts for Human Activity Recognition—0
Image Classification using Combination of Topological Features and Neural Networks—0
Dynamic Spectrum Matching with One-shot Learning—0
Dynamic Sentence Boundary Detection for Simultaneous Translation—0
Show:102550
← PrevPage 16 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