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

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Showing 501–525 of 903 papers

TitleStatusHype
Set-valued classification -- overview via a unified framework—0
Revisiting Classification Perspective on Scene Text Recognition—0
Constrained Optimization to Train Neural Networks on Critical and Under-Represented ClassesCode1
Inducing a hierarchy for multi-class classification problems—0
Sentiment Analysis for YouTube Comments in Roman Urdu—0
IoTDevID: A Behavior-Based Device Identification Method for the IoTCode1
End-to-End Automatic Speech Recognition with Deep Mutual Learning—0
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental LearningCode1
Anomaly Detection for Scenario-based Insider Activities using CGAN Augmented Data—0
Disease2Vec: Representing Alzheimer's Progression via Disease Embedding Tree—0
Multi-class Generative Adversarial Nets for Semi-supervised Image Classification—0
Deep Learning with Label Differential Privacy—0
Classification based on Topological Data Analysis—0
The Fourier Discrepancy Function—0
Binary Classification from Multiple Unlabeled Datasets via Surrogate Set ClassificationCode0
Pitfalls of Assessing Extracted Hierarchies for Multi-Class Classification—0
Iterative Weak Learnability and Multi-Class AdaBoost—0
A multi-perspective combined recall and rank framework for Chinese procedure terminology normalization—0
Intrusion detection in IoT using artificial neural networks on UNSW-15 dataset—0
Divide and Conquer: An Ensemble Approach for Hostile Post Detection in HindiCode0
Walk in Wild: An Ensemble Approach for Hostility Detection in Hindi Posts—0
Coarse and Fine-Grained Hostility Detection in Hindi Posts using Fine Tuned Multilingual EmbeddingsCode0
An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks—0
Combating Hostility: Covid-19 Fake News and Hostile Post Detection in Social MediaCode0
One-Class Classification: A Survey—0
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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
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1SVM (tficf)Macro F173.9—Unverified
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1Extra TreesF1-Score93.36—Unverified
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1Multi-Model EnsembleMean AUC0.99—Unverified