Speech emotion recognition using support vector machines T Seehapoch, S Wongthanavasu 2013 5th international conference on Knowledge and smart technology (KST), 86-91, 2013 | 130 | 2013 |
A CA-based edge operator and its performance evaluation S Wongthanavasu, R Sadananda Journal of Visual Communication and Image Representation 14 (2), 83-96, 2003 | 67 | 2003 |
An efficient brain tumor segmentation based on cellular automata and improved tumor-cut algorithm C Sompong, S Wongthanavasu Expert Systems with Applications 72, 231-244, 2017 | 47 | 2017 |
Brain tumor segmentation using cellular automata-based fuzzy c-means C Sompong, S Wongthanavasu 2016 13th International Joint Conference on Computer Science and Software …, 2016 | 25 | 2016 |
Cellular automata for medical image processing S Wongthanavasu Cellular Automata-Innovative Modelling for Science and Engineering, 395-410, 2011 | 25 | 2011 |
Cellular automata-based algorithm and its application in medical image processing S Wongthanavasu, V Tangvoraphonkchai 2007 IEEE International Conference on Image Processing 3, III-41-III-44, 2007 | 24 | 2007 |
Information extraction for deep web using repetitive subject pattern W Thamviset, S Wongthanavasu World Wide Web 17, 1109-1139, 2014 | 23 | 2014 |
A new approach for reduction of attributes based on stripped quotient sets NN Thuy, S Wongthanavasu Pattern Recognition 97, 106999, 2020 | 21 | 2020 |
A novel feature selection method for high-dimensional mixed decision tables NN Thuy, S Wongthanavasu IEEE Transactions on Neural Networks and Learning Systems 33 (7), 3024-3037, 2021 | 20 | 2021 |
A novel temporal recommender system based on multiple transitions in user preference drift and topic review evolution C Wangwatcharakul, S Wongthanavasu Expert Systems with Applications 185, 115626, 2021 | 19 | 2021 |
On reduction of attributes in inconsistent decision tables based on information entropies and stripped quotient sets NN Thuy, S Wongthanavasu Expert Systems with Applications 137, 308-323, 2019 | 19 | 2019 |
Single image haze removal using deep cellular automata learning S Tangsakul, S Wongthanavasu IEEE Access 8, 103181-103199, 2020 | 16 | 2020 |
MRI brain tumor segmentation using GLCM cellular automata-based texture feature C Sompong, S Wongthanavasu 2014 International Computer Science and Engineering Conference (ICSEC), 192-197, 2014 | 15 | 2014 |
A cellular automata-based learning method for classification S Wongthanavasu, J Ponkaew Expert Systems with Applications 49, 99-111, 2016 | 14 | 2016 |
A 3D CA-based edge operator for 3D images S Wongthanavasu, C Lursinsap 2004 International Conference on Image Processing, 2004. ICIP'04. 1, 235-238, 2004 | 14 | 2004 |
Dynamic collaborative filtering based on user preference drift and topic evolution C Wangwatcharakul, S Wongthanavasu IEEE Access 8, 86433-86447, 2020 | 12 | 2020 |
Pixel-level edge detection using a cellular automata-based model S Wongthanavasu, R Sadananda Advances in Intelligent Systems: Theory and Applications 59, 343-351, 2000 | 12 | 2000 |
An efficient stripped cover-based accelerator for reduction of attributes in incomplete decision tables NN Thuy, S Wongthanavasu Expert Systems with applications 143, 113076, 2020 | 11 | 2020 |
Hybrid filter–wrapper attribute selection with alpha-level fuzzy rough sets NN Thuy, S Wongthanavasu Expert Systems with Applications 193, 116428, 2022 | 9 | 2022 |
Bottom-up region extractor for semi-structured web pages W Thamviset, S Wongthanavasu 2014 International Computer Science and Engineering Conference (ICSEC), 284-289, 2014 | 9 | 2014 |