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 101–150 of 903 papers

TitleStatusHype
Analysis of Zero Day Attack Detection Using MLP and XAI—0
A comprehensive solution to retrieval-based chatbot construction—0
Confidence Calibration for Domain Generalization under Covariate Shift—0
Analysis of the Effect of Unexpected Outliers in the Classification of Spectroscopy Data—0
Automated Fact-Checking of Claims in Argumentative Parliamentary Debates—0
A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context—0
1-D Residual Convolutional Neural Network coupled with Data Augmentation and Regularization for the ICPHM 2023 Data Challenge—0
A Multi-Task Self-Normalizing 3D-CNN to Infer Tuberculosis Radiological Manifestations—0
A Deep Generative Approach to Native Language Identification—0
Competing Ratio Loss for Discriminative Multi-class Image Classification—0
ComplAI: Theory of A Unified Framework for Multi-factor Assessment of Black-Box Supervised Machine Learning Models—0
Confidence Prediction for Lexicon-Free OCR—0
Analysis and classification of heart diseases using heartbeat features and machine learning algorithms—0
Automated diagnosis of lung diseases using vision transformer: a comparative study on chest x-ray classification—0
AutoBayes: Automated Bayesian Graph Exploration for Nuisance-Robust Inference—0
Automated Multi-Label Classification based on ML-Plan—0
Automatic Classification of Functional Gait Disorders—0
Automatic Detection of Knee Joints and Quantification of Knee Osteoarthritis Severity using Convolutional Neural Networks—0
Automatic Identification and Classification of Bragging in Social Media—0
Automatic pain recognition from Blood Volume Pulse (BVP) signal using machine learning techniques—0
An Asymptotically Optimal Contextual Bandit Algorithm Using Hierarchical Structures—0
A Universal Growth Rate for Learning with Smooth Surrogate Losses—0
An Attention-based Long Short-Term Memory Framework for Detection of Bitcoin Scams—0
Advancing Efficient Brain Tumor Multi-Class Classification -- New Insights from the Vision Mamba Model in Transfer Learning—0
Bayes-optimal Hierarchical Classification over Asymmetric Tree-Distance Loss—0
Benchmarking deep learning models for bearing fault diagnosis using the CWRU dataset: A multi-label approach—0
A Multi-Plant Disease Diagnosis Method using Convolutional Neural Network—0
A multi-perspective combined recall and rank framework for Chinese procedure terminology normalization—0
Respiratory Disease Classification and Biometric Analysis Using Biosignals from Digital Stethoscopes—0
A Deep Ensemble Framework for Fake News Detection and Multi-Class Classification of Short Political Statements—0
Comparative Analysis of Resource-Efficient CNN Architectures for Brain Tumor Classification—0
A Tutorial on the Pretrain-Finetune Paradigm for Natural Language Processing—0
Attention-based Region of Interest (ROI) Detection for Speech Emotion Recognition—0
A multi-label, dual-output deep neural network for automated bug triaging—0
Additional Look into GAN-based Augmentation for Deep Learning COVID-19 Image Classification—0
A Multi-In and Multi-Out Dendritic Neuron Model and its Optimization—0
A Comparative Analysis of Machine Learning Techniques for IoT Intrusion Detection—0
Comment on Is Complexity an Illusion?—0
Comparison of Decision Tree Based Classification Strategies to Detect External Chemical Stimuli from Raw and Filtered Plant Electrical Response—0
ATESA-BÆRT: A Heterogeneous Ensemble Learning Model for Aspect-Based Sentiment Analysis—0
A Survey on Open Set Recognition—0
A multi-class structured dictionary learning method using discriminant atom selection—0
A Stutter Seldom Comes Alone -- Cross-Corpus Stuttering Detection as a Multi-label Problem—0
Aspect category learning and sentimental analysis using weakly supervised learning—0
A Data-Driven Pool Strategy for Price-Makers Under Imperfect Information—0
Combining features on vertical ground reaction force signal analysis for multiclass diagnosing neurodegenerative diseases—0
A simple technique for improving multi-class classification with neural networks—0
Efficient Malicious UAV Detection Using Autoencoder-TSMamba Integration—0
Classification and Detection in Mammograms with Weak Supervision via Dual Branch Deep Neural Net—0
A scalable stage-wise approach to large-margin multi-class loss based boosting—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