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Ordinal Classification

Papers

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Showing 1–25 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
Real-Time Multi-Level Neonatal Heart and Lung Sound Quality Assessment for Telehealth ApplicationsCode1
CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of CancerCode1
Learning-to-Rank Meets Language: Boosting Language-Driven Ordering Alignment for Ordinal ClassificationCode1
Ordinal Classification with Distance Regularization for Robust Brain Age PredictionCode1
Affect-driven Ordinal Engagement Measurement from Video—0
Amobee at SemEval-2018 Task 1: GRU Neural Network with a CNN Attention Mechanism for Sentiment Classification—0
Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification—0
A theoretical look at ordinal classification methods based on reference sets composed of characteristic actions—0
Automatic Estimation of Ulcerative Colitis Severity from Endoscopy Videos using Ordinal Multi-Instance Learning—0
CLOC: Contrastive Learning for Ordinal Classification with Multi-Margin N-pair Loss—0
Distribution-free Conformal Prediction for Ordinal Classification—0
a theoretical look at ordinal classification methods based on comparing actions with limiting boundaries between adjacent classes—0
Evaluating Evaluation Measures for Ordinal Classification and Ordinal Quantification—0
Exploring Ordinality in Text Classification: A Comparative Study of Explicit and Implicit Techniques—0
A Novel Variational Autoencoder with Applications to Generative Modelling, Classification, and Ordinal Regression—0
EiTAKA at SemEval-2018 Task 1: An Ensemble of N-Channels ConvNet and XGboost Regressors for Emotion Analysis of Tweets—0
AI-Assisted Decision-Making for Clinical Assessment of Auto-Segmented Contour Quality—0
Deep Sensor Fusion for Real-Time Odometry Estimation—0
Detecting Hardly Visible Roads in Low-Resolution Satellite Time Series Data—0
DIOR-ViT: Differential Ordinal Learning Vision Transformer for Cancer Classification in Pathology Images—0
Distilling Privileged Multimodal Information for Expression Recognition using Optimal Transport—0
A Dictionary-based approach to Time Series Ordinal Classification—0
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Benchmark Results

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