Ordinal Regression

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Overview

Ordinal regression studies prediction when labels have a meaningful order, such as disease stages, proficiency levels, or quality ratings, so confusing neighboring categories is usually less costly than making a distant error. Common approaches include cumulative-link and threshold-based models, ordinal-aware losses and soft-label distributions, and pairwise or contrastive methods that learn rank differences; newer work also incorporates hierarchy, multimodal features, and generative models. Applications span medical grading, age and image-quality estimation, speech assessment, and structured preference prediction, with evaluation often using mean absolute error, ranked probability scores, or quadratic weighted kappa alongside accuracy. A central challenge is that category order is known but the distances between levels and the uncertainty of labels often are not, making calibration, class imbalance, and transfer across datasets persistent concerns.

Latest papers

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38 papers2 papers in the last four weeks, down 67% on the four weeks before. 0.0% of all new papers.

  1. A novel ordinal multi-view aggregation scheme for oak defoliation

    May 27, 2026Francisco Bérchez-Moreno, Ricardo Enrique Hernández-Lambraño, David Guijo-Rubio +4Ensemble LearningMulti-View Learning

    Departamento de Ciencia de la Computación e Inteligencia Artificial, Universidad de Córdoba, Campus Universitario de Rabanales, Edificio Albert Einstein. Ctra. N-IV, Km. 396, Córdoba, 14071, Andalucía, Spain · Department of Forest Engineering, Laboratory of Dendrochronology, Silviculture and Global Change – DendrodatLab, Universidad de Córdoba, Campus Universitario de Rabanales. Ctra. N-IV, Km. 396, Córdoba, 14071, Andalucía, Spain · Departamento de Teoría de la Señal y Comunicaciones, Universidad de Alcala, Escuela Politécnica. Campus Universitario. Ctra. Madrid-Barcelona, Km. 33,600, Madrid, 28805, Madrid, Spain +1

  2. Ordinal Semantic Segmentation Applied to Medical and Odontological Images

    Mar 21, 2026Mariana Dória Prata Lima, Gilson Antonio Giraldi, Jaime S. CardosoSemantic SegmentationMedical Image Segmentation

    1, 2National Laboratory for Scientific Computing, Petrópolis, Rio de Janeiro, Brazil. · 3INESC TEC, Faculty of Engineering, University of Porto, Porto, Portugal.

  3. Classifier Pooling for Modern Ordinal Classification

    Mar 18, 2026Noam H. Rotenberg, Andreia V. Faria, Brian CaffoOrdinal Regression

    Department of Biomedical Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA. · Department of Radiology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA. · 3*Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.

  4. Decision-Level Ordinal Modeling for Multimodal Essay Scoring with Large Language Models

    Mar 16, 2026Han Zhang, Jiamin Su, Li liuAutomated Essay ScoringOrdinal Regression

  5. Diabetic Retinopathy Grading with CLIP-based Ranking-Aware Adaptation:A Comparative Study on Fundus Image

    Mar 12, 2026Sungjun ChoDiabetic Retinopathy GradingRetinal Disease Classification

    Hong Kong University of Science and Technology (HKUST), Hong Kong, China

  6. TornadoNet: Real-Time Building Damage Detection with Ordinal Supervision

    Mar 12, 2026Robinson Umeike, Cuong Pham, Ryan Hausen +8Disaster Damage AssessmentBuilding Damage Assessment

    The University of Alabama · University of South Alabama · Johns Hopkins University +2

  7. Directed Ordinal Diffusion Regularization for Progression-Aware Diabetic Retinopathy Grading

    Feb 25, 2026Huangwei Chen, Junhao Jia, Ruocheng Li +7Diabetic Retinopathy GradingOrdinal Regression

    Zhejiang Key Laboratory of Accessible Perception and Intelligent Systems, College of Computer Science and Technology, Zhejiang University · Hangzhou Pujian Medical Technology Co., Ltd · Hangzhou Dianzi University +1

  8. An Effective Strategy for Modeling Score Ordinality and Non-uniform Intervals in Automated Speaking Assessment

    Aug 27, 2025Tien-Hong Lo, Szu-Yu Chen, Yao-Ting Sung +1Speech ProcessingOrdinal Regression

    Department of Computer Science and Information Engineering, National Taiwan Normal University · Department of Educational Psychology and Counseling, National Taiwan Normal University