Ordinal Classification
16 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
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.
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.
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.
