EK-NNclus: a clustering procedure based on the evidential K-nearest neighbor rule T Denoeux, O Kanjanatarakul, S Sriboonchitta Knowledge-Based Systems 88, 57-69, 2015 | 58 | 2015 |
Evidential clustering of large dissimilarity data T Denœux, S Sriboonchitta, O Kanjanatarakul Knowledge-Based Systems 106, 179-195, 2016 | 51 | 2016 |
Forecasting using belief functions: an application to marketing econometrics O Kanjanatarakul, S Sriboonchitta, T Denoeux International Journal of Approximate Reasoning 55 (5), 1113-1128, 2014 | 38 | 2014 |
Prediction of future observations using belief functions: A likelihood-based approach O Kanjanatarakul, T Denœux, S Sriboonchitta International Journal of Approximate Reasoning 72, 71-94, 2016 | 15 | 2016 |
Comparison of sales forecasting models for an innovative agro-industrial product: Bass model versus logistic function O Kanjanatarakul, K Suriya The Empirical Econometrics and Quantitative Economics Letters 1 (4), 89-106, 2012 | 12 | 2012 |
Evidential clustering: A review T Denœux, O Kanjanatarakul International Symposium on Integrated Uncertainty in Knowledge Modelling and …, 2016 | 10 | 2016 |
Beyond fuzzy, possibilistic and rough: an investigation of belief functions in clustering T Denœux, O Kanjanatarakul International Conference on Soft Methods in Probability and Statistics, 157-164, 2016 | 8 | 2016 |
Economic impact of agro-industrial sector on nationwide economy of Thailand: A general equilibrium approach O Kanjanatarakul, K Suriya The Empirical Econometrics and Quantitative Economics Letters 1 (4), 61-66, 2012 | 8 | 2012 |
Sufficient Number of Observations for Sales Forecasts with Limited Information: A Case of an Innovative Agro-Industrial Product. O Kanjanatarakul, K Suriya International Journal of Intelligent Technologies & Applied Statistics 6 (2), 2013 | 7 | 2013 |
An Evidential K-Nearest Neighbor Classifier Based on Contextual Discounting and Likelihood Maximization O Kanjanatarakul, S Kuson, T Denoeux International Conference on Belief Functions, 155-162, 2018 | 6 | 2018 |
Estimation and prediction using belief functions: Application to stochastic frontier analysis O Kanjanatarakul, N Kaewsompong, S Sriboonchitta, T Denœux Econometrics of risk, 171-184, 2015 | 5 | 2015 |
Role of government funding on the empowerment of the Royal Project Foundation: A general equilibrium approach O Kanjanatarakul, K Suriya The Empirical Econometrics and Quantitative Economics Letters 2 (1), 1-28, 2013 | 4 | 2013 |
A new evidential K-nearest neighbor rule based on contextual discounting with partially supervised learning T Denœux, O Kanjanatarakul, S Sriboonchitta International Journal of Approximate Reasoning 113, 287-302, 2019 | 3 | 2019 |
Distributed data fusion in the dempster-shafer framework O Kanjanatarakul, T Denœux 2017 12th System of Systems Engineering Conference (SoSE), 1-6, 2017 | 3 | 2017 |
Econometric forecasting using linear regression and belief functions O Kanjanatarakul, P Lertpongpiroon, S Singkharat, S Sriboonchitta International Conference on Belief Functions, 304-312, 2014 | 3 | 2014 |
Sales forecasting with limited information: Comparison between cumulative observations and rolling windows O Kanjanatarakul, K Suriya, C Hsiao, C Gourieroux The Empirical Econometrics and Quantitative Economics Letters 3 (1), 11-24, 2014 | 3 | 2014 |
Forecasting the sales of an innovative agro-industrial product with limited information: A case of feta cheese from buffalo milk in Thailand O Kanjanatarakul, K Suriya Proceedings in the Ecomod2013 conference in Prague, 2013 | 3 | 2013 |
K-EVCLUS: Clustering large dissimilarity data in the belief function framework O Kanjanatarakul, S Sriboonchitta, T Denoeux International Conference on Belief Functions, 105-112, 2016 | 2 | 2016 |
Forecasting the sales of an innovative agro-industrial product with limited information: A case of feta cheese from buffalo milk in Thailand K Suriya, O Kanjanatarakul EcoMod2013, 2013 | 1 | 2013 |
Multistep Prediction using Point-Cloud Approximation of Continuous Belief Functions T Denoeux, O Kanjanatarakul 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2019 | | 2019 |