Application of Artificial Neural Network to the Identification of Students with Learning Disabilities. - Tung-Kuang Wu; Ying-Ru Meng; Shian-Chang Huang (IC-AI, 2006)

Effects of Feature Selection on the Identification of Students with Learning Disabilities Using ANN. - Tung-Kuang Wu; Shian-Chang Huang; Ying-Ru Meng (ICNC (1), 2006)

Improving ANN classification accuracy for the identification of students with LDs through evolutionary computation. - Tung-Kuang Wu; Shian-Chang Huang; Ying-Ru Meng (IEEE Congress on Evolutionary Computation, 2007)

Evaluation of ANN and SVM classifiers as predictors to the diagnosis of students with learning disabilities. - Tung-Kuang Wu; Shian-Chang Huang; Ying-Ru Meng (Expert Syst. Appl., 2008)

Improving Rules Quality Generated by Rough Set Theory for the Diagnosis of Students with LDs through Mixed Samples Clustering. - Tung-Kuang Wu; Shian-Chang Huang; Ying-Ru Meng; Yu-Chi Lin (RSKT, 2009)

On the parallelization and optimization of the genetic-based ANN classifier for the diagnosis of students with learning disabilities. - Tung-Kuang Wu; Shian-Chang Huang; Y.-L. Lin; H. Chang; Ying-Ru Meng (SMC, 2010)

Rough Sets as a Knowledge Discovery and Classification Tool for the Diagnosis of Students with Learning Disabilities. - Tung-Kuang Wu; Shian-Chang Huang; Ying-Ru Meng; Wen-Yau Liang; Yu-Chi Lin (Int. J. Comput. Intell. Syst., 2011)

Exploring the Social Interaction of Autistic Students of Elementary and Junior High School Students Through the Teaching of Social Skills and Learning Process in Virtual Reality. - Ying-Ru Meng; Chia-Chi Yeh (SN Comput. Sci., 2022)