Lipo Wang
Cited by
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Theory and applications
L Wang
Support Vector Machines, Springer-Verlag, Berlin Heidelber, 2005
Support vector machines: theory and applications
L Wang
Springer Science & Business Media, 2005
Deep learning applications in medical image analysis
J Ker, L Wang, J Rao, T Lim
IEEE Access 6, 9375-9389, 2017
Data Mining With Computational Intelligence
L Wang, Xiuju Fu
Springer, 2005
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
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
On chaotic simulated annealing
L Wang, K Smith
IEEE Transactions on Neural Networks 9 (4), 716-718, 1998
Feature selection methods for big data bioinformatics: A survey from the search perspective
L Wang, Y Wang, Q Chang
Methods 111, 21-31, 2016
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
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
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
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
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
Real-time EEG-based emotion monitoring using stable features
Z Lan, O Sourina, L Wang, Y Liu
The Visual Computer 32, 347-358, 2016
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
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
Oscillations and chaos in neural networks: an exactly solvable model.
LP Wang, EE Pichler, J Ross
Proceedings of the National Academy of Sciences 87 (23), 9467-9471, 1990
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
A general wrapper approach to selection of class-dependent features
L Wang, N Zhou, F Chu
IEEE Transactions on Neural Networks 19 (7), 1267-1278, 2008
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
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