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Ordinal Classification

Papers

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Showing 1–50 of 72 papers

TitleStatusHype
A simple squared-error reformulation for ordinal classificationCode3
dlordinal: a Python package for deep ordinal classificationCode2
Ultra Fast Deep Lane Detection with Hybrid Anchor Driven Ordinal ClassificationCode2
Ordinal Classification with Distance Regularization for Robust Brain Age PredictionCode1
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
Real-Time Multi-Level Neonatal Heart and Lung Sound Quality Assessment for Telehealth ApplicationsCode1
Convolutional and Deep Learning based techniques for Time Series Ordinal ClassificationCode0
Splitting criteria for ordinal decision trees: an experimental studyCode0
Enhancing Depression Detection via Question-wise Modality FusionCode0
Decreasing Annotation Burden of Pairwise Comparisons with Human-in-the-Loop Sorting: Application in Medical Image Artifact RatingCode0
Non-parametric Uni-modality Constraints for Deep Ordinal ClassificationCode0
oAdaBoost: An AdaBoost Variant for Ordinal ClassificationCode0
Interpretable Weighted Siamese Network to Predict the Time to Onset of Alzheimer's Disease from MRI ImagesCode0
A generalized framework to predict continuous scores from medical ordinal labelsCode0
Ordinal classification for interval-valued data and interval-valued functional dataCode0
Cumulative link models for deep ordinal classificationCode0
Performance Metrics for Probabilistic Ordinal ClassifiersCode0
An Effectiveness Metric for Ordinal Classification: Formal Properties and Experimental ResultsCode0
Quasi-Unimodal Distributions for Ordinal ClassificationCode0
Conformal Risk Control for Ordinal ClassificationCode0
Improving the repeatability of deep learning models with Monte Carlo dropoutCode0
Controlling Class Layout for Deep Ordinal Classification via Constrained Proxies LearningCode0
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
Label Noise Filtering Techniques to Improve Monotonic Classification—0
LAMPO: Large Language Models as Preference Machines for Few-shot Ordinal Classification—0
Mental Fatigue Monitoring using Brain Dynamics Preferences—0
Multimodal Assessment of Classroom Discourse Quality: A Text-Centered Attention-Based Multi-Task Learning Approach—0
Noncrossing Ordinal Classification—0
OCAPIS: R package for Ordinal Classification And Preprocessing In Scala—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
YNU-HPCC at SemEval-2020 Task 10: Using a Multi-granularity Ordinal Classification of the BiLSTM Model for Emphasis Selection—0
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Benchmark Results

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