Ordinal Classification
21 papers with code • 1 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Ordinal Classification
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Most implemented papers
Cumulative link models for deep ordinal classification
Three different link functions are studied in the experimental study, and the results are contrasted with statistical analysis.
CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer
yueliukth/csaw-m
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Interval and large invasive breast cancers, which are associated with worse prognosis than other cancers, are usually detected at a late stage due to false negative assessments of screening mammograms.
Ultra Fast Deep Lane Detection with Hybrid Anchor Driven Ordinal Classification
cfzd/ultra-fast-lane-detection-v2
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With the help of the anchor-driven representation, we then reformulate the lane detection task as an ordinal classification problem to get the coordinates of lanes.
Learning-to-Rank Meets Language: Boosting Language-Driven Ordering Alignment for Ordinal Classification
raywang335/l2rclip
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NeurIPS 2023
Consequently, we propose a cross-modal ordinal pairwise loss to refine the CLIP feature space, where texts and images maintain both semantic alignment and ordering alignment.
oAdaBoost: An AdaBoost Variant for Ordinal Classification
Ordinal data classification (ODC) has a wide range of applications in areas where human evaluation plays an important role, ranging from psychology and medicine to information retrieval.
A simple squared-error reformulation for ordinal classification
In this paper, we explore ordinal classification (in the context of deep neural networks) through a simple modification of the squared error loss which not only allows it to not only be sensitive to class ordering, but also allows the possibility of having a discrete probability distribution over the classes.
Non-parametric Uni-modality Constraints for Deep Ordinal Classification
sbelharbi/Deep-Ordinal-Classification-with-Inequality-Constraints
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We propose a new constrained-optimization formulation for deep ordinal classification, in which uni-modality of the label distribution is enforced implicitly via a set of inequality constraints over all the pairs of adjacent labels.
An Effectiveness Metric for Ordinal Classification: Formal Properties and Experimental Results
In Ordinal Classification tasks, items have to be assigned to classes that have a relative ordering, such as positive, neutral, negative in sentiment analysis.
Real-Time Multi-Level Neonatal Heart and Lung Sound Quality Assessment for Telehealth Applications
In this study, a new method is proposed to objectively and automatically assess heart and lung signal quality on a 5-level scale in real-time and to assess the effect of signal quality on vital sign estimation.
Decreasing Annotation Burden of Pairwise Comparisons with Human-in-the-Loop Sorting: Application in Medical Image Artifact Rating
Ranking by pairwise comparisons has shown improved reliability over ordinal classification.
