Orakanya Kanjanatarakul

According to our database1, Orakanya Kanjanatarakul authored at least 13 papers between 2014 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
A new evidential <i>K</i>-nearest neighbor rule based on contextual discounting with partially supervised learning.
Int. J. Approx. Reason., 2019

Multistep Prediction using Point-Cloud Approximation of Continuous Belief Functions.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2018
An Evidential K-Nearest Neighbor Classifier Based on Contextual Discounting and Likelihood Maximization.
Proceedings of the Belief Functions: Theory and Applications, 2018

2017
Distributed data fusion in the dempster-shafer framework.
Proceedings of the 12th System of Systems Engineering Conference, 2017

2016
Evidential clustering of large dissimilarity data.
Knowl. Based Syst., 2016

Prediction of future observations using belief functions: A likelihood-based approach.
Int. J. Approx. Reason., 2016

Beyond Fuzzy, Possibilistic and Rough: An Investigation of Belief Functions in Clustering.
Proceedings of the Soft Methods for Data Science, 2016

Evidential Clustering: A Review.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2016

k-EVCLUS: Clustering Large Dissimilarity Data in the Belief Function Framework.
Proceedings of the Belief Functions: Theory and Applications, 2016

2015
Estimation and Prediction Using Belief Functions: Application to Stochastic Frontier Analysis.
Proceedings of the Econometrics of Risk, 2015

EK-NNclus: A clustering procedure based on the evidential K-nearest neighbor rule.
Knowl. Based Syst., 2015

2014
Forecasting using belief functions: An application to marketing econometrics.
Int. J. Approx. Reason., 2014

Econometric Forecasting Using Linear Regression and Belief Functions.
Proceedings of the Belief Functions: Theory and Applications, 2014


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