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Shuxiang Xu
Shuxiang Xu
School of Information and Communication Technology, University of Tasmania
Verified email at utas.edu.au - Homepage
Title
Cited by
Cited by
Year
A novel approach for determining the optimal number of hidden layer neurons for FNN’s and its application in data mining
S Xu, L Chen
2262008
Investigation and improvement of multi-layer perceptron neural networks for credit scoring
Z Zhao, S Xu, BH Kang, MMJ Kabir, Y Liu, R Wasinger
Expert Systems with Applications 42 (7), 3508-3516, 2015
1962015
Neuron-adaptive higher order neural-network models for automated financial data modeling
M Zhang, S Xu, J Fulcher
IEEE Transactions on neural networks 13 (1), 188-204, 2002
1252002
Application of higher-order neural networks to financial time-series prediction
J Fulcher, M Zhang, S Xu
Artificial neural networks in finance and manufacturing, 80-108, 2006
492006
Application of higher-order neural networks to financial time-series prediction
J Fulcher, M Zhang, S Xu
Artificial neural networks in finance and manufacturing, 80-108, 2006
492006
A new multiple seeds based genetic algorithm for discovering a set of interesting Boolean association rules
MMJ Kabir, S Xu, BH Kang, Z Zhao
Expert Systems with Applications 74, 55-69, 2017
352017
Data mining-an adaptive neural network model for financial analysis
S Xu, M Zhang
Third International Conference on Information Technology and Applications …, 2005
292005
Justification of a neuron-adaptive activation function
S Xu, M Zhang
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural …, 2000
222000
A novel adaptive activation function
S Xu, M Zhang
IJCNN'01. International Joint Conference on Neural Networks. Proceedings …, 2001
202001
A new evolutionary algorithm for extracting a reduced set of interesting association rules
MMJ Kabir, S Xu, BH Kang, Z Zhao
International Conference on Neural Information Processing, 133-142, 2015
182015
Adaptive higher order neural network models and their applications in business
S Xu
Artificial higher order neural networks for economics and business, 314-329, 2009
182009
RETRACTED: Signal fusion-based deep fast random forest method for machine health assessment
N Yuan, W Yang, B Kang, S Xu, C Li
Journal of Manufacturing Systems 48, 1-8, 2018
172018
An empirical research on sentiment analysis using machine learning approaches
M Kabir, MMJ Kabir, S Xu, B Badhon
International Journal of Computers and Applications 43 (10), 1011-1019, 2021
162021
Fake reviews detection: A survey
R Mohawesh, S Xu, SN Tran, R Ollington, M Springer, Y Jararweh, ...
IEEE Access 9, 65771-65802, 2021
162021
Deep learning for retail product recognition: Challenges and techniques
Y Wei, S Tran, S Xu, B Kang, M Springer
Computational intelligence and neuroscience 2020, 2020
162020
ANSER: Adaptive neuron artificial neural network system for estimating rainfall
M Zhang, S Xu, J Fulcher
International Journal of Computers and Applications 29 (3), 215-222, 2007
162007
Data mining using higher order neural network models with adaptive neuron activation functions
S Xu
International Journal of Advancements in Computing Technology 2 (4), 168-177, 2010
142010
Autonomous underwater vehicle navigation using sonar image matching based on convolutional neural network
W Yang, S Fan, S Xu, P King, B Kang, E Kim
IFAC-PapersOnLine 52 (21), 156-162, 2019
132019
Comparative analysis of genetic based approach and apriori algorithm for mining maximal frequent item sets
MMJ Kabir, S Xu, BH Kang, Z Zhao
2015 IEEE congress on evolutionary computation (CEC), 39-45, 2015
132015
Machine learning for mining imbalanced data
MY Arafat, S Hoque, S Xu, DM Farid
IAENG International Journal of Computer Science 46 (2), 332-348, 2019
122019
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