Distance metric learning for augmenting the method of nearest neighbors for ordinal classification with absolute and relative information-Reference-Cited by-同舟云学术

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Distance metric learning for augmenting the method of nearest neighbors for ordinal classification with absolute and relative information

Published:2021-01 Issue: Volume:65 Page:72-83
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Tang Mengzi,Pérez-Fernández Raúl,De Baets Bernard

Funder

China Scholarship Council

Research Foundation of Flanders, Belgium

Spanish MINECO

Flemish Government, Belgium

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference43 articles.

1. M. Pérez-Ortiz, P.A. Gutiérrez, C. García-Alonso, L. Salvador-Carulla, J.A. Salinas-Pérez, C. Hervás-Martínez, Ordinal classification of depression spatial hot-spots of prevalence, in: Proceedings of the 11th IEEE International Conference on Intelligent Systems Design and Applications, Córdoba, Spain, 2011, pp. 1170–1175.

2. Predicting progression of Alzheimer’s disease using ordinal regression;Doyle;PLoS One,2014

3. Comparative study among three strategies of incorporating spatial structures to ordinal image regression;Tian;Neurocomputing,2014

4. The proportional odds with partial proportionality constraints model for ordinal response variables;Fullerton;Soc. Sci. Res.,2012

5. J. Chen, X. Liu, S. Lyu, Boosting with side information, in: Proceedings of the Asian Conference on Computer Vision, Daejeon, Korea, 2013, pp. 563–577.

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1. Long-term Traffic Forecasting in Optical Networks Using Machine Learning;International Journal of Electronics and Telecommunications;2023-09-19

2. Active ordinal classification by querying relative information;Intelligent Data Analysis;2023-07-20

3. Computationally-Affordable Unsupervised Machine Learning Algorithm to Identify the Level of Distress Severity in Pavement Functional Performance;IEEE Transactions on Intelligent Transportation Systems;2023-07

4. An efficient multi-metric learning method by partitioning the metric space;Neurocomputing;2023-04

5. Non-parametric Nearest Neighbor Classification Based on Global Variance Difference;International Journal of Computational Intelligence Systems;2023-03-02

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