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
Cross-System Categorization of Abnormal Traces in Microservice-Based Systems via Meta-Learning—0
Collaborative Filtering and Multi-Label Classification with Matrix Factorization—0
Filtering Aggression from the Multilingual Social Media Feed—0
Collaborative Wideband Spectrum Sensing and Scheduling for Networked UAVs in UTM Systems—0
Breaking the Token Barrier: Chunking and Convolution for Efficient Long Text Classification with BERT—0
Fine-grained Generalization Analysis of Vector-valued Learning—0
Fine-tuning Large Language Models for Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detection—0
FingerNet: EEG Decoding of A Fine Motor Imagery with Finger-tapping Task Based on A Deep Neural Network—0
How optimal transport can tackle gender biases in multi-class neural-network classifiers for job recommendations?—0
Fixing Asymptotic Uncertainty of Bayesian Neural Networks with Infinite ReLU Features—0
An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence—0
FLAG: Fast Label-Adaptive Aggregation for Multi-label Classification in Federated Learning—0
Flat and Nested Negation and Uncertainty Detection with PubMed BERT—0
Comparative Analysis of Resource-Efficient CNN Architectures for Brain Tumor Classification—0
"Flux+Mutability": A Conditional Generative Approach to One-Class Classification and Anomaly Detection—0
FOLD-SE: An Efficient Rule-based Machine Learning Algorithm with Scalable Explainability—0
Identifying Domain Independent Update Intents in Task Based Dialogs—0
Comparison of Multi-Class and Binary Classification Machine Learning Models in Identifying Strong Gravitational Lenses—0
FORML: Learning to Reweight Data for Fairness—0
Competing Ratio Loss for Discriminative Multi-class Image Classification—0
ARGUABLY at ComMA@ICON: Detection of Multilingual Aggressive, Gender Biased, and Communally Charged Tweets Using Ensemble and Fine-Tuned IndicBERT—0
Gaussian Processes on Hypergraphs—0
Generalization Analysis on Learning with a Concurrent Verifier—0
Generalization and Risk Bounds for Recurrent Neural Networks—0
Effective Metaheuristic Based Classifiers for Multiclass Intrusion Detection—0
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
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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