Aiguo Wang
Aiguo Wang
Foshan University
Verified email at - Homepage
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A comparative study on human activity recognition using inertial sensors in a smartphone
A Wang, G Chen, J Yang, S Zhao, CY Chang
IEEE Sensors Journal 16 (11), 4566-4578, 2016
Accelerating wrapper-based feature selection with K-nearest-neighbor
A Wang, N An, G Chen, L Li, G Alterovitz
Knowledge-Based Systems 83, 81-91, 2015
Human activity recognition in a smart home environment with stacked denoising autoencoders
A Wang, G Chen, C Shang, M Zhang, L Liu
International conference on web-age information management, 29-40, 2016
Wrapper-based gene selection with Markov blanket
A Wang, N An, J Yang, G Chen, L Li, G Alterovitz
Computers in biology and medicine 81, 11-23, 2017
Predicting hypertension without measurement: A non-invasive, questionnaire-based approach
A Wang, N An, G Chen, L Li, G Alterovitz
Expert Systems with Applications 42 (21), 7601-7609, 2015
A classification scheme for analyzing mobile apps used to prevent and manage disease in late life
A Wang, N An, X Lu, H Chen, C Li, S Levkoff
JMIR mHealth and uHealth 2 (1), e2877, 2014
Improving PLS–RFE based gene selection for microarray data classification
A Wang, N An, G Chen, L Li, G Alterovitz
Computers in biology and medicine 62, 14-24, 2015
A partial correlation-based Bayesian network structure learning algorithm under linear SEM
J Yang, L Li, A Wang
Knowledge-Based Systems 24 (7), 963-976, 2011
A new machine learning method for identifying Alzheimer's disease
L Liu, S Zhao, H Chen, A Wang
Simulation Modelling Practice and Theory 99, 102023, 2020
Latent feature learning for activity recognition using simple sensors in smart homes
G Chen, A Wang, S Zhao, L Liu, CY Chang
Multimedia Tools and Applications 77 (12), 15201-15219, 2018
Incremental Wrapper based Gene Selection with Markov Blanket
A Wang, N An, J Yang, G Chen, L Li, G Alterovitz
In 2014 ASE International Conference on Biomedical Computing, Best Paper, 1-6, 2014
Towards human activity recognition: A hierarchical feature selection framework
A Wang, G Chen, X Wu, L Liu, N An, CY Chang
Sensors 18 (11), 3629, 2018
Subtype dependent biomarker identification and tumor classification from gene expression profiles
A Wang, N An, G Chen, L Liu, G Alterovitz
Knowledge-Based Systems 146, 104-117, 2018
A logistic regression and artificial neural network-based approach for chronic disease prediction: a case study of hypertension
A Wang, N An, Y Xia, L Li, G Chen
2014 IEEE International Conference on Internet of Things (iThings), and IEEE …, 2014
Microarray missing value imputation: A regularized local learning method
A Wang, Y Chen, N An, J Yang, L Li, L Jiang
IEEE/ACM transactions on computational biology and bioinformatics 16 (3 …, 2018
Streaming feature-based causal structure learning algorithm with symmetrical uncertainty
J Yang, X Guo, N An, A Wang, K Yu
Information Sciences 467, 708-724, 2018
A global learning with local preservation method for microarray data imputation
Y Chen, A Wang, H Ding, X Que, Y Li, N An, L Jiang
Computers in biology and medicine 77, 76-89, 2016
Accelerating incremental wrapper based gene selection with K-Nearest-Neighbor
A Wang, N An, G Chen, L Li, G Alterovitz
2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2014
Locality adaptive preserving projections for linear dimensionality reduction
A Wang, S Zhao, J Liu, J Yang, L Liu, G Chen
Expert Systems with Applications 151, 113352, 2020
Activities of Daily Living Recognition With Binary Environment Sensors Using Deep Learning: A Comparative Study
A Wang, S Zhao, C Zheng, J Yang, G Chen, CY Chang
IEEE Sensors Journal 21 (4), 5423-5433, 2020
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