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 76–100 of 903 papers

Title	Date	Tasks	Status	Hype	Score
Inductive Conformal Prediction: A Straightforward Introduction with Examples in Python	Jun 23, 2022	Conformal PredictionMulti-class Classification	CodeCode Available	1	5
Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization Algorithms	Nov 2, 2023	Binary ClassificationDomain Generalization	CodeCode Available	1	5
IoTDevID: A Behavior-Based Device Identification Method for the IoT	Feb 17, 2021	Data Augmentationfeature selection	CodeCode Available	1	5
CIGAN: A Python Package for Handling Class Imbalance using Generative Adversarial Networks	Aug 4, 2022	Multi-class Classification	CodeCode Available	1	5
Clinical Relation Extraction Using Transformer-based Models	Jul 19, 2021	Binary ClassificationClassification	CodeCode Available	1	5
One-Class Risk Estimation for One-Class Hyperspectral Image Classification	Oct 27, 2022	ClassificationDeep Learning	CodeCode Available	1	5
Co-attention network with label embedding for text classification	Nov 4, 2021	ClassificationMulti-class Classification	CodeCode Available	1	5
Multidimensional Uncertainty-Aware Evidential Neural Networks	Dec 26, 2020	Generative Adversarial NetworkMulti-class Classification	CodeCode Available	1	5
Multi-label Node Classification On Graph-Structured Data	Apr 20, 2023	ClassificationMulti-class Classification	CodeCode Available	1	5
A Practioner's Guide to Evaluating Entity Resolution Results	Sep 14, 2015	ClusteringEntity Resolution	CodeCode Available	1	5
MVMTnet: A Multi-variate Multi-modal Transformer for Multi-class Classification of Cardiac Irregularities Using ECG Waveforms and Clinical Notes	Feb 21, 2023	Binary ClassificationClassification	CodeCode Available	1	5
Self-supervised Spatial Reasoning on Multi-View Line Drawings	Apr 27, 2021	Binary ClassificationContrastive Learning	CodeCode Available	1	5
Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models	Mar 10, 2023	Language ModelingLanguage Modelling	CodeCode Available	1	5
Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes	Feb 21, 2021	Binary ClassificationMulti-class Classification	CodeCode Available	1	5
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation	Oct 12, 2020	Anomaly DetectionAnomaly Segmentation	CodeCode Available	1	5
SFace: Privacy-friendly and Accurate Face Recognition using Synthetic Data	Jun 21, 2022	Face RecognitionGenerative Adversarial Network	CodeCode Available	1	5
COVID-CXNet: Detecting COVID-19 in Frontal Chest X-ray Images using Deep Learning	Jun 16, 2020	Decision MakingImage Classification	CodeCode Available	1	5
Spatio-Temporal EEG Representation Learning on Riemannian Manifold and Euclidean Space	Aug 19, 2020	Binary ClassificationDecision Making	CodeCode Available	1	5
ArtiFact: A Large-Scale Dataset with Artificial and Factual Images for Generalizable and Robust Synthetic Image Detection	Feb 23, 2023	Image GenerationMulti-class Classification	CodeCode Available	1	5
A data-centric approach for assessing progress of Graph Neural Networks	Jun 18, 2024	ClassificationMulti-class Classification	CodeCode Available	1	5
Detecting Spam Reviews on Vietnamese E-commerce Websites	Jul 27, 2022	Binary ClassificationMulti-class Classification	CodeCode Available	1	5
Emulating Spatio-Temporal Realizations of Three-Dimensional Isotropic Turbulence via Deep Sequence Learning Models	Dec 7, 2021	Dimensionality ReductionMulti-class Classification	CodeCode Available	0	5
Efficient Machine Learning Ensemble Methods for Detecting Gravitational Wave Glitches in LIGO Time Series	Nov 2, 2023	Deep LearningMulti-class Classification	CodeCode Available	0	5
Characterizing Data Point Vulnerability via Average-Case Robustness	Jul 26, 2023	Adversarial RobustnessMulti-class Classification	CodeCode Available	0	5
Efficient Robust Optimal Transport with Application to Multi-Label Classification	Oct 22, 2020	Multi-class ClassificationMulti-Label Classification	CodeCode Available	0	5

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All datasets COVID-19 CXR Dataset COVID chest X-ray Reuters-52 TII-SSRC-23 Training and validation dataset of capsule vision 2024 challenge.

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	COVID-CXNet	Accuracy (%)	94.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	COVID-ResNet	F1 score	0.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SVM (tficf)	Macro F1	73.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Extra Trees	F1-Score	93.36	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Multi-Model Ensemble	Mean AUC	0.99	—	Unverified