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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 501–550 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
Deep Convolutional Neural Network based Classification of Alzheimer's Disease using MRI data—0
GraphHop: An Enhanced Label Propagation Method for Node ClassificationCode1
One vs Previous and Similar Classes Learning -- A Comparative Study—0
Ensemble-based Adversarial Defense Using Diversified Distance Mapping—0
Learning Semantic Similarities for Prototypical Classifiers—0
Maximum Categorical Cross Entropy (MCCE): A noise-robust alternative loss function to mitigate racial bias in Convolutional Neural Networks (CNNs) by reducing overfitting—0
Exploring the Uncertainty Properties of Neural Networks’ Implicit Priors in the Infinite-Width Limit—0
Energy-based Out-of-distribution Detection for Multi-label Classification—0
Uncertainty Calibration Error: A New Metric for Multi-Class Classification—0
Convolutional Neural Networks in Multi-Class Classification of Medical Data—0
Multidimensional Uncertainty-Aware Evidential Neural NetworksCode1
Explainable Multi-class Classification of Medical Data—0
Light-Weight 1-D Convolutional Neural Network Architecture for Mental Task Identification and Classification Based on Single-Channel EEG—0
Robustness of Accuracy Metric and its Inspirations in Learning with Noisy LabelsCode1
Food Classification with Convolutional Neural Networks and Multi-Class Linear Discernment AnalysisCode0
Overview of the Fifth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2020—0
Detecting Tweets Reporting Birth Defect Pregnancy Outcome Using Two-View CNN RNN Based Architecture—0
A Deep Generative Approach to Native Language Identification—0
PMLB v1.0: An open source dataset collection for benchmarking machine learning methodsCode1
A New Periocular Dataset Collected by Mobile Devices in Unconstrained Scenarios—0
A Deep Neural Network for SSVEP-based Brain-Computer InterfacesCode1
A Multi-Plant Disease Diagnosis Method using Convolutional Neural Network—0
Kernel Dependence Network—0
Multi-resolution Annotations for Emoji Prediction—0
KINNEWS and KIRNEWS: Benchmarking Cross-Lingual Text Classification for Kinyarwanda and KirundiCode1
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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
#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