Ordinal Classification
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Benchmarks
Most implemented
Learning-to-Rank Meets Language: Boosting Language-Driven Ordering Alignment for Ordinal Classification
CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer
Cumulative link models for deep ordinal classification
Enhancing Depression Detection via Question-wise Modality Fusion
Splitting criteria for ordinal decision trees: an experimental study
Papers
ADABORD: a novel AdaBoost approach for ordinal classification
Ordinal Classification (OC) deals with classification tasks where the classes follow a natural order. Despite the progress in OC, many existing approaches fail to fully leverage the ordinal information, treating the prob…
Ordinal ClassificationA Unified Algebraic Framework for Classification Performance Evaluation
We propose a unified algebraic framework for classification performance evaluation that encompasses binary, multiclass, multilabel, ordinal, hierarchical, cost-sensitive, and soft-label settings within a single formalism…
Ordinal ClassificationReliable Conformal Prediction for Ordinal Classification Using the Ranked Probability Score
Ordinal classification (OC) arises in high-stakes domains such as medicine and finance, where uncertainty quantification must account for the severity of ordinal errors. Conformal prediction (CP) provides distribution-fr…
Ordinal ClassificationA novel ordinal multi-view aggregation scheme for oak defoliation
Forest decline driven by climate and biotic stressors threatens ecosystem functioning, making accurate monitoring of tree health essential. In this work, we address tree defoliation estimation as an ordinal classificatio…
Ordinal ClassificationAuditing demographic bias in AI-based emergency police dispatch: a cross-lingual evaluation of eleven large language models
Large language models (LLMs) are rapidly being integrated into high-stakes public safety systems, including emergency call triage and dispatch decision support, yet their demographic fairness in this context remains larg…
Ordinal ClassificationOrdinal Semantic Segmentation Applied to Medical and Odontological Images
Semantic segmentation consists of assigning a semantic label to each pixel according to predefined classes. This process facilitates the understanding of object appearance and spatial relationships, playing an important …
Ordinal ClassificationSemantic Segmentation