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 351–400 of 903 papers

TitleStatusHype
A Multi-In and Multi-Out Dendritic Neuron Model and its Optimization—0
Additional Look into GAN-based Augmentation for Deep Learning COVID-19 Image Classification—0
A Comparative Analysis of Machine Learning Techniques for IoT Intrusion Detection—0
Counterfactual Explanations for Predictive Business Process Monitoring—0
Correlation-based construction of neighborhood and edge features—0
ATESA-BÆRT: A Heterogeneous Ensemble Learning Model for Aspect-Based Sentiment Analysis—0
Convolutional Neural Networks in Multi-Class Classification of Medical Data—0
Convergence rates of sub-sampled Newton methods—0
A Survey on Open Set Recognition—0
Convergence Rates of Active Learning for Maximum Likelihood Estimation—0
Convergence of Uncertainty Sampling for Active Learning—0
A Stutter Seldom Comes Alone -- Cross-Corpus Stuttering Detection as a Multi-label Problem—0
Contrastive Learning for Fair Representations—0
Aspect category learning and sentimental analysis using weakly supervised learning—0
A multi-class structured dictionary learning method using discriminant atom selection—0
Hashtag Recommendation Using End-To-End Memory Networks with Hierarchical Attention—0
GraphX^NET- Chest X-Ray Classification Under Extreme Minimal Supervision—0
Constrained Multi-Layer Contrastive Learning for Implicit Discourse Relationship Recognition—0
Graph Residual based Method for Molecular Property Prediction—0
Graph-based Extreme Feature Selection for Multi-class Classification Tasks—0
Consistency of semi-supervised learning algorithms on graphs: Probit and one-hot methods—0
A simple technique for improving multi-class classification with neural networks—0
Granular Ball K-Class Twin Support Vector Classifier—0
GMM-Based Synthetic Samples for Classification of Hyperspectral Images With Limited Training Data—0
Confidence Prediction for Lexicon-Free OCR—0
GJG@TamilNLP-ACL2022: Emotion Analysis and Classification in Tamil using Transformers—0
Confidence Calibration for Domain Generalization under Covariate Shift—0
A scalable stage-wise approach to large-margin multi-class loss based boosting—0
Artificial intelligence supported anemia control system (AISACS) to prevent anemia in maintenance hemodialysis patients—0
A Data-Driven Pool Strategy for Price-Makers Under Imperfect Information—0
Efficient Malicious UAV Detection Using Autoencoder-TSMamba Integration—0
1-D Residual Convolutional Neural Network coupled with Data Augmentation and Regularization for the ICPHM 2023 Data Challenge—0
Geolocation with Attention-Based Multitask Learning Models—0
Genetic Column Generation for Computing Lower Bounds for Adversarial Classification—0
GJG@TamilNLP-ACL2022: Using Transformers for Abusive Comment Classification in Tamil—0
Global Capacity Measures for Deep ReLU Networks via Path Sampling—0
Generative-Discriminative Variational Model for Visual Recognition—0
Conditional-UNet: A Condition-aware Deep Model for Coherent Human Activity Recognition From Wearables—0
Generative Adversarial Networks based on Mixed-Attentions for Citation Intent Classification in Scientific Publications—0
Graph-Based Automatic Feature Selection for Multi-Class Classification via Mean Simplified Silhouette—0
Generalized Conditional Gradient for Sparse Estimation—0
Graph Convolutional Networks for Classification with a Structured Label Space—0
Computer Aided Detection of Anemia-like Pallor—0
Armijo Line-search Can Make (Stochastic) Gradient Descent Provably Faster—0
Generalization and Risk Bounds for Recurrent Neural Networks—0
Harnessing Deep Learning and Satellite Imagery for Post-Buyout Land Cover Mapping—0
Generalization Analysis on Learning with a Concurrent Verifier—0
ComplAI: Theory of A Unified Framework for Multi-factor Assessment of Black-Box Supervised Machine Learning Models—0
Gaussian Processes on Hypergraphs—0
ARGUABLY at ComMA@ICON: Detection of Multilingual Aggressive, Gender Biased, and Communally Charged Tweets Using Ensemble and Fine-Tuned IndicBERT—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
#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