Theory and applications L Wang Support Vector Machines, Springer-Verlag, Berlin Heidelber, 2005 | 1804* | 2005 |
Support vector machines: theory and applications L Wang Springer Science & Business Media, 2005 | 1785 | 2005 |
Deep learning applications in medical image analysis J Ker, L Wang, J Rao, T Lim IEEE Access 6, 9375-9389, 2017 | 1447 | 2017 |
Data Mining With Computational Intelligence L Wang, Xiuju Fu Springer, 2005 | 636 | 2005 |
3D deep learning on medical images: a review SP Singh, L Wang, S Gupta, H Goli, P Padmanabhan, B Gulyás Sensors 20 (18), 5097, 2020 | 427 | 2020 |
Accurate cancer classification using expressions of very few genes L Wang, F Chu, W Xie IEEE/ACM Transactions on Computational Biology and Bioinformatics 4 (1), 40-53, 2007 | 354 | 2007 |
Data dimensionality reduction with application to simplifying RBF network structure and improving classification performance X Fu, L Wang IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 33 …, 2003 | 348 | 2003 |
Feature selection methods for big data bioinformatics: A survey from the search perspective L Wang, Y Wang, Q Chang Methods 111, 21-31, 2016 | 323 | 2016 |
Domain adaptation techniques for EEG-based emotion recognition: a comparative study on two public datasets Z Lan, O Sourina, L Wang, R Scherer, GR Müller-Putz IEEE Transactions on Cognitive and Developmental Systems 11 (1), 85-94, 2018 | 295 | 2018 |
On chaotic simulated annealing L Wang, K Smith IEEE Transactions on Neural Networks 9 (4), 716-718, 1998 | 263 | 1998 |
Real-time EEG-based emotion monitoring using stable features Z Lan, O Sourina, L Wang, Y Liu The Visual Computer 32, 347-358, 2016 | 224 | 2016 |
EEG based stress monitoring X Hou, Y Liu, O Sourina, YRE Tan, L Wang, W Mueller-Wittig 2015 IEEE international conference on systems, man, and cybernetics, 3110-3115, 2015 | 224 | 2015 |
Applications of support vector machines to cancer classification with microarray data F Chu, L Wang International Journal of Neural Systems 15 (06), 475-484, 2005 | 214 | 2005 |
A noisy chaotic neural network for solving combinatorial optimization problems: Stochastic chaotic simulated annealing L Wang, S Li, F Tian, X Fu IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 34 …, 2004 | 214 | 2004 |
Saliency-based defect detection in industrial images by using phase spectrum X Bai, Y Fang, W Lin, L Wang, BF Ju IEEE Transactions on Industrial Informatics 10 (4), 2135-2145, 2014 | 211 | 2014 |
An efficient semi-unsupervised gene selection method via spectral biclustering B Liu, C Wan, L Wang IEEE Transactions on Nanobioscience 5 (2), 110-114, 2006 | 206 | 2006 |
Image thresholding improves 3-dimensional convolutional neural network diagnosis of different acute brain hemorrhages on computed tomography scans J Ker, SP Singh, Y Bai, J Rao, T Lim, L Wang Sensors 19 (9), 2167, 2019 | 175 | 2019 |
Automated brain histology classification using machine learning J Ker, Y Bai, HY Lee, J Rao, L Wang Journal of Clinical Neuroscience 66, 239-245, 2019 | 161 | 2019 |
Bitcoin price prediction using ensembles of neural networks E Sin, L Wang 2017 13th International conference on natural computation, fuzzy systems and …, 2017 | 159 | 2017 |
A modified T-test feature selection method and its application on the HapMap genotype data N Zhou, L Wang Genomics, Proteomics & Bioinformatics 5 (3-4), 242-249, 2007 | 140 | 2007 |