SOTAVerified

Ordinal Classification

Papers

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Showing 1–50 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
a theoretical look at ordinal classification methods based on comparing actions with limiting boundaries between adjacent classes—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
YNU-HPCC at SemEval-2020 Task 10: Using a Multi-granularity Ordinal Classification of the BiLSTM Model for Emphasis Selection—0
A Dictionary-based approach to Time Series Ordinal Classification—0
Affect-driven Ordinal Engagement Measurement from Video—0
AI-Assisted Decision-Making for Clinical Assessment of Auto-Segmented Contour Quality—0
Amobee at SemEval-2018 Task 1: GRU Neural Network with a CNN Attention Mechanism for Sentiment Classification—0
A Novel Machine Learning Approach to Data Inconsistency with respect to a Fuzzy Relation—0
A Novel Variational Autoencoder with Applications to Generative Modelling, Classification, and Ordinal Regression—0
Optimizing Automatic Speech Assessment: W-RankSim Regularization and Hybrid Feature Fusion Strategies—0
Prostate Tissue Grading with Deep Quantum Measurement Ordinal Regression—0
Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation—0
Regression or Classification? New Methods to Evaluate No-Reference Picture and Video Quality Models—0
SDNet: Semantically Guided Depth Estimation Network—0
SeerNet at SemEval-2018 Task 1: Domain Adaptation for Affect in Tweets—0
SemEval-2018 Task 1: Affect in Tweets—0
SSN MLRG1 at SemEval-2018 Task 1: Emotion and Sentiment Intensity Detection Using Rule Based Feature Selection—0
Stay on Topic, Please: Aligning User Comments to the Content of a News Article—0
Supervised Contrastive Learning for Ordinal Engagement Measurement—0
Trust Modeling in Counseling Conversations: A Benchmark Study—0
UIUC at SemEval-2018 Task 1: Recognizing Affect with Ensemble Models—0
Unimodal probability distributions for deep ordinal classification—0
UWB at SemEval-2018 Task 1: Emotion Intensity Detection in Tweets—0
WER-BERT: Automatic WER Estimation with BERT in a Balanced Ordinal Classification Paradigm—0
YNU-HPCC at SemEval-2018 Task 1: BiLSTM with Attention based Sentiment Analysis for Affect in Tweets—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
EiTAKA at SemEval-2018 Task 1: An Ensemble of N-Channels ConvNet and XGboost Regressors for Emotion Analysis of Tweets—0
Electre Tri-Machine Learning Approach to the Record Linkage Problem—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
From Pairwise to Ranking: Climbing the Ladder to Ideal Collaborative Filtering with Pseudo-Ranking—0
Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification—0
Generative Regression Based Watch Time Prediction for Short-Video Recommendation—0
Image Ordinal Classification and Understanding: Grid Dropout with Masking Label—0
Improved Text Emotion Prediction Using Combined Valence and Arousal Ordinal Classification—0
Improving the classification of extreme classes by means of loss regularisation and generalised beta distributions—0
A Supervised Machine Learning Model For Imputing Missing Boarding Stops In Smart Card Data—0
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Benchmark Results

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