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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 201–225 of 903 papers

Title	Date	Tasks	Status	Score
Semi-supervised Vector-valued Learning: Improved Bounds and Algorithms	Sep 11, 2019	Multi-class ClassificationMulti-Label Learning	CodeCode Available	5
Evaluating approaches for supervised semantic labeling	Jan 29, 2018	BIG-bench Machine LearningData Integration	CodeCode Available	5
Achieving Equalized Odds by Resampling Sensitive Attributes	Jun 8, 2020	AttributeFairness	CodeCode Available	5
Lightweight Conditional Model Extrapolation for Streaming Data under Class-Prior Shift	Jun 10, 2022	Meta-LearningMulti-class Classification	CodeCode Available	5
Localized Multiple Kernel Learning for Anomaly Detection: One-class Classification	May 21, 2018	Anomaly DetectionClassification	CodeCode Available	5
Looking back at Labels: A Class based Domain Adaptation Technique	Apr 2, 2019	Domain AdaptationImage Classification	CodeCode Available	5
Evaluating ML-Based Anomaly Detection Across Datasets of Varied Integrity: A Case Study	Jan 30, 2024	Anomaly DetectionDataset Generation	CodeCode Available	5
Active Learning from Positive and Unlabeled Data	Feb 24, 2016	Active LearningInformativeness	CodeCode Available	5
COVID-ResNet: A Deep Learning Framework for Screening of COVID19 from Radiographs	Mar 31, 2020	Multi-class Classification	CodeCode Available	5
Attention-based Context Aggregation Network for Monocular Depth Estimation	Jan 29, 2019	Depth EstimationMonocular Depth Estimation	CodeCode Available	5
Extrapolating Expected Accuracies for Large Multi-Class Problems	Dec 27, 2017	General ClassificationMulti-class Classification	CodeCode Available	5
More Consideration for the Perceptron	Sep 20, 2024	Multi-class Classification	CodeCode Available	5
Multi-class Classification with Fuzzy-feature Observations: Theory and Algorithms	Jun 9, 2022	ClassificationMulti-class Classification	CodeCode Available	5
A Novel Multi-Stage Approach for Hierarchical Intrusion Detection	Mar 21, 2023	Anomaly DetectionIntrusion Detection	CodeCode Available	5
Ensembling Uncertainty Measures to Improve Safety of Black-Box Classifiers	Aug 23, 2023	Multi-class Classification	CodeCode Available	5
CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy	Sep 22, 2022	Multi-class Classification	CodeCode Available	5
Calibration tests in multi-class classification: A unifying framework	Oct 24, 2019	ClassificationGeneral Classification	CodeCode Available	5
Multimodal Speech Emotion Recognition and Ambiguity Resolution	Apr 12, 2019	BIG-bench Machine LearningEmotion Recognition	CodeCode Available	5
Network Representation Learning with Rich Text Information	Jun 24, 2015	General Classificationimage-classification	CodeCode Available	5
Neural Collapse in Multi-label Learning with Pick-all-label Loss	Oct 24, 2023	AllMulti-class Classification	CodeCode Available	5
DCAST: Diverse Class-Aware Self-Training Mitigates Selection Bias for Fairer Learning	Sep 30, 2024	DiversityDomain Adaptation	CodeCode Available	5
Neural CRNs: A Natural Implementation of Learning in Chemical Reaction Networks	Aug 18, 2024	Multi-class Classification	CodeCode Available	5
Calibration tests beyond classification	Oct 21, 2022	ClassificationDecision Making	CodeCode Available	5
Calibrated simplex-mapping classification	Mar 4, 2021	ClassificationGeneral Classification	CodeCode Available	5
A Full Probabilistic Model for Yes/No Type Crowdsourcing in Multi-Class Classification	Jan 2, 2019	General Classificationimage-classification	CodeCode Available	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