Constraint-weighted support vector ordinal regression to resist constraint noises

A label noise filtering method for regression based on adaptive threshold and noise score

(2023) Chuang Li et al.   EXPERT SYSTEMS WITH APPLICATIONS

Multi-view support vector ordinal regression with data uncertainty

(2022) Yanshan Xiao et al.   INFORMATION SCIENCES

VPGB: A granular-ball based model for attribute reduction and classification with label noise

(2022) Xiaoli Peng et al.   INFORMATION SCIENCES

Spatiotemporal Analysis of Extreme Temperature Change on the Tibetan Plateau Based On Quantile Regression

(2022) Ling Yao et al.   Earth and Space Science

The quantification of mountain base elevation based on mountain structure modeling

(2022) Zhang Wenjie et al.   Frontiers in Environmental Science

Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment

(2022) Víctor Manuel Vargas et al.   COMPUTERS IN INDUSTRY

On removing potential redundant constraints for SVOR learning

(2021) Fa Zhu et al.   APPLIED SOFT COMPUTING

OCEAn: Ordinal classification with an ensemble approach

(2021) Belén Vega-Márquez et al.   INFORMATION SCIENCES

Joint categorical and ordinal learning for cancer grading in pathology images

(2021) Trinh Thi Le Vuong et al.   MEDICAL IMAGE ANALYSIS

Neighborhood linear discriminant analysis

(2021) Fa Zhu et al.   PATTERN RECOGNITION

Convolutional Ordinal Regression Forest for Image Ordinal Estimation

(2021) Haiping Zhu et al.   IEEE Transactions on Neural Networks and Learning Systems

Solving Large-Scale Support Vector Ordinal Regression with Asynchronous Parallel Coordinate Descent Algorithms

(2020) Bin Gu et al.   PATTERN RECOGNITION

RSMOTE: A self-adaptive robust SMOTE for imbalanced problems with label noise

(2020) Baiyun Chen et al.   INFORMATION SCIENCES

A regularization path algorithm for support vector ordinal regression

(2018) Bin Gu   NEURAL NETWORKS

A convex formulation for multiple ordinal output classification

(2018) Zhongchen Ma et al.   PATTERN RECOGNITION

KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining

(2017) Isaac Triguero et al.   International Journal of Computational Intelligence Systems

Nonparallel Support Vector Ordinal Regression

(2017) Huadong Wang et al.   IEEE Transactions on Cybernetics

Ordinal Regression Methods: Survey and Experimental Study

(2016) Pedro Antonio Gutierrez et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Classification with Noisy Labels by Importance Reweighting

(2016) Tongliang Liu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A weighted one-class support vector machine

(2016) Fa Zhu et al.   NEUROCOMPUTING

Extended nearest neighbor chain induced instance-weights for SVMs

(2016) Fa Zhu et al.   PATTERN RECOGNITION

Multiple Ordinal Regression by Maximizing the Sum of Margins

(2016) Onur C. Hamsici et al.   IEEE Transactions on Neural Networks and Learning Systems

Minimum class variance support vector ordinal regression

(2016) Xiaoming Wang et al.   International Journal of Machine Learning and Cybernetics

Extended least squares support vector machines for ordinal regression

(2015) Na Zhang   NEURAL COMPUTING & APPLICATIONS

Incremental Support Vector Learning for Ordinal Regression

(2015) Bin Gu et al.   IEEE Transactions on Neural Networks and Learning Systems

Ordinal extreme learning machine

(2010) Wan-Yu Deng et al.   NEUROCOMPUTING

Kernel Discriminant Learning for Ordinal Regression

(2009) Bing-Yu Sun et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Block-Quantized Support Vector Ordinal Regression

(2009) Bin Zhao et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

The unimodal model for the classification of ordinal data

(2007) Joaquim F. Pinto da Costa et al.   NEURAL NETWORKS