SOTAVerified

Ordinal Classification

Papers

Showing 125 of 72 papers

TitleStatusHype
A simple squared-error reformulation for ordinal classificationCode3
Ultra Fast Deep Lane Detection with Hybrid Anchor Driven Ordinal ClassificationCode2
dlordinal: a Python package for deep ordinal classificationCode2
CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of CancerCode1
Ordinal Classification with Distance Regularization for Robust Brain Age PredictionCode1
Real-Time Multi-Level Neonatal Heart and Lung Sound Quality Assessment for Telehealth ApplicationsCode1
Learning-to-Rank Meets Language: Boosting Language-Driven Ordering Alignment for Ordinal ClassificationCode1
An Effectiveness Metric for Ordinal Classification: Formal Properties and Experimental ResultsCode0
Quasi-Unimodal Distributions for Ordinal ClassificationCode0
Performance Metrics for Probabilistic Ordinal ClassifiersCode0
oAdaBoost: An AdaBoost Variant for Ordinal ClassificationCode0
Splitting criteria for ordinal decision trees: an experimental studyCode0
Decreasing Annotation Burden of Pairwise Comparisons with Human-in-the-Loop Sorting: Application in Medical Image Artifact RatingCode0
Interpretable Weighted Siamese Network to Predict the Time to Onset of Alzheimer's Disease from MRI ImagesCode0
Ordinal classification for interval-valued data and interval-valued functional dataCode0
Enhancing Depression Detection via Question-wise Modality FusionCode0
Controlling Class Layout for Deep Ordinal Classification via Constrained Proxies LearningCode0
Conformal Risk Control for Ordinal ClassificationCode0
A generalized framework to predict continuous scores from medical ordinal labelsCode0
Non-parametric Uni-modality Constraints for Deep Ordinal ClassificationCode0
Cumulative link models for deep ordinal classificationCode0
Improving the repeatability of deep learning models with Monte Carlo dropoutCode0
Distribution-free Conformal Prediction for Ordinal Classification0
CLOC: Contrastive Learning for Ordinal Classification with Multi-Margin N-pair Loss0
Automatic Estimation of Ulcerative Colitis Severity from Endoscopy Videos using Ordinal Multi-Instance Learning0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ResNet-18Mean absolute error2.56Unverified