Number of items: 48

Journal Article
Yuan, N and Yang, W and Kang, B and Xu, S and Wang, X and Li, C, Manifold learning-based fuzzy k-principal curve similarity evaluation for wind turbine condition monitoring, Energy Science & Engineering pp. 1-12. ISSN 2050-0505 (2018) [Refereed Article]
Forouzandeh, S and Sheikhahmadi, A and Rezaei Aghdam, A and Xu, S, New centrality measure for nodes based on user social status and behavior on Facebook, International Journal of Web Information Systems, 14, (2) pp. 158-176. ISSN 1744-0084 (2018) [Refereed Article]
Yuan, N and Yang, W and Kang, B and Xu, S and Li, C, Signal fusion-based deep fast random forest method for machine health assessment, Journal of Manufacturing Systems, 48 pp. 1-8. ISSN 0278-6125 (2018) [Refereed Article]
Iskandar, I and Willett, R and Xu, S, The development of a government cash forecasting model, Journal of Public Budgeting, Accounting & Financial Management, 30, (4) pp. 368-383. ISSN 1096-3367 (2018) [Refereed Article]
Kabir, MMJ and Xu, S and Kang, BH and Zhao, Z, A new multiple seeds based genetic algorithm for discovering a set of interesting Boolean association rules, Expert Systems With Applications, 74 pp. 55-69. ISSN 0957-4174 (2017) [Refereed Article]
Aghdam, AR and Xu, S and Kaveie, A and Fahimi, SA and Khani, EG and Kamalpour, M, Performance assessment of payment gateways in banking services in Tehran, Iran, International Journal on Computer Science and Engineering, 9, (8) pp. 496-505. ISSN 0975-3397 (2017) [Refereed Article]
Kampalpour, M and Aghdam, AR and Xu, S and Khani, EG and Baghi, A, Uncovering hotel guests preferences through data mining techniques, International Journal of Computer Science and Network Security, 17, (8) pp. 1-10. ISSN 1738-7906 (2017) [Refereed Article]
Hasan, MAM and Xu, S and Kabir, MMJ and Ahmad, S, Performance evaluation of different kernels for support vector machine used in intrusion detection system, International Journal of Computer Networks and Communications, 8, (6) pp. 39-54. ISSN 0974-9322 (2016) [Refereed Article]
Zhao, Z and Xu, S and Kang, BH and Kabir, MMJ and Liu, Y and Wasinger, R, Investigation and improvement of multi-layer perceptron neural networks for credit scoring, Expert Systems With Applications, 42, (7) pp. 3508-3516. ISSN 0957-4174 (2015) [Refereed Article]
Kabir, MMJ and Xu, S and Kang, BH and Zhao, Z, A hybrid GeneticMax algorithm for improving the traditional genetic based approach for mining maximal frequent item sets, International Journal of Computer Science and Network Security, 14, (10) pp. 27-35. ISSN 1738-7906 (2014) [Refereed Article]
Kabir, MMJ and Xu, S and Kang, BH and Zhao, Z, Association rule mining for both frequent and infrequent items using particle swarm optimization algorithm, International Journal on Computer Science and Engineering, 6, (7) pp. 221-231. ISSN 0975-3397 (2014) [Refereed Article]
Zhao, Z and Xu, S and Kang, BH and Kabir, MMJ and Liu, Y, Investigation of multilayer perceptron and class imbalance problems for credit rating, International Journal of Computer and Information Technology, 3, (4) pp. 805-812. ISSN 2279-0764 (2014) [Refereed Article]
Xu, S and Liu, Y, Neural networks for business decision making, International Journal of Advancements in Computing Technology, 6, (2) pp. 49-58. ISSN 2005-8039 (2014) [Refereed Article]
Xu, S, Data mining using higher order neural network models with adaptive neuron activation functions, International Journal of Advancements in Computing Technology , 2, (4) pp. 168-177. ISSN 2005-8039 (2010) [Refereed Article]
Zhang, M and Xu, S and Fulcher, JA, ANSER: Adaptive Neuron Artificial Neural Network System for Estimating rainfall, International Journal of Computers & Applications, 29, (3) pp. 215-222. ISSN 1206-212X (2007) [Refereed Article]
Zhang, M and Xu, S and Fulcher, J, Neuron-Adaptive Higher Order Neural-Network Models for Automated Financial Data Modeling, IEEE Transactions on Neural Networks, 13, (1) pp. 188 - 204. ISSN 1045-9227 (2002) [Refereed Article]

Chapter in Book
Xu, S and Liu, Y, A theoretical framework for parallel implementation of deep higher order neural networks, Applied Artificial Higher Order Neural Networks for Control and Recognition, Information Science Reference, M Zhang (ed), Hershey PA, USA, pp. 351-361. ISBN 9781522500636 (2016) [Research Book Chapter]
Zhao, Z and Xu, S and Kang, BH and Kabir, MMJ and Liu, Y and Wasinger, R, Utilizing Feature Selection on Higher Order Neural Networks, Applied Artificial Higher Order Neural Networks for Control and Recognition, Information Science Reference, M Zhang (ed), Hershey PA, USA, pp. 375-390. ISBN 9781522500636 (2016) [Research Book Chapter]
Xu, S, HONNs with Extreme learning Machine to Handle Incomplete Datasets, Artificial Higher Order Neural Networks for Modeling and Simulation, Information Science Reference, J Gamon (ed), United States of America, pp. 276-292. ISBN 978-1-4666-2175-6 (2012) [Research Book Chapter]
Xu, S, Adaptive Higher Order Neural Network Models for Data Mining, Artificial Higher Order Neural Networks for Computer Science and Engineering: Trends for Emerging Applications, Information Science Reference, Ming Zhang (ed), Hershey, United States, pp. 86-98. ISBN 978-1-61520-711-4 (2010) [Research Book Chapter]
Xu, S, Adaptive higher order neural network models and their applications in business, Artificial Higher Order Neural Networks for Economics and Business, Information Science Reference, Ming Zhang (ed), Hershey, PA, pp. 314-329. ISBN 978-1-59904-897-0 (2009) [Research Book Chapter]
Fulcher, JD and Zhang, M and Xu, S, Application of Higher-Order Neural Networks to Financial Time-Series Prediction, Artificial Neural Networks in Finance and Manufacturing, Idea Group Publishing, J Kamruzzaman, RK Begg & RA Sarker (ed), Hershey, United States, pp. 80-108. ISBN 1-59140-671-4 (2006) [Research Book Chapter]

Conference Publication
Liu, Y and Xu, Z and Li, N and Xu, S and Gang, Y, A path planning algorithm for plant protection UAV for avoiding multiple obstruction areas, IFAC-PapersOnLine, 12-16 July 2018, Beijing, China, pp. 483-488. ISSN 2405-8963 (2018) [Refereed Conference Paper]
Lunt, AJ and Xu, S, An empirically-sourced heuristic for predetermining the size of the hidden layer of a multi-layer perceptron for large datasets, Lecture Notes in Computer Science 9992: Proceedings of the 29th Australasian Joint Conference on Artificial Intelligence (AI 2016): Advances in Artificial Intelligence), 5-8 December 2016, Hobart, Tasmania, pp. 542-547. ISBN 978-3-319-50126-0 (2016) [Refereed Conference Paper]
Kaminski, B and Wasinger, R and Norris, K and Zehntner, C and Xu, S and Chinthammit, W and Duh, B, Learning through shared note-taking visualisations in the classroom, Proceedings of the 28th Australian Computer-Human Interaction Conference (OzCHI 2016), 29 November - 2 December 2016, Launceston, Tasmania, pp. 576-580. ISBN 978-1-4503-4618-4 (2016) [Refereed Conference Paper]
Kabir, MMJ and Xu, S and Kang, BH and Zhao, Z, Multiple seeds based evolutionary algorithm for mining Boolean association rules, Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining Workshops (PAKDD 2016), 19 April 2016, Auckland, New Zealand, pp. 61-72. ISBN 9783319429953 (2016) [Refereed Conference Paper]
Kabir, MMJ and Xu, S and Kang, BH and Zhao, Z, A new evolutionary algorithm for extracting a reduced set of interesting association rules, Lecture Notes in Computer Science: 22nd International Conference, ICONIP 2015 - Neural Information Processing, 09-12 November 2015, Istanbul, Turkey, pp. 133-142. ISBN 978-3-319-26534-6 (2015) [Refereed Conference Paper]
Kabir, MMJ and Xu, S and Kang, BH and Zhao, Z, Comparative analysis of genetic based approach and apriori algorithm for mining maximal frequent item sets, Proceedings of the 2015 IEEE Congress on Evolutionary Computation, 25-28 May 2015, Sendai, Japan, pp. 39-45. ISBN 978-1-4799-7492-4 (2015) [Refereed Conference Paper]
Kabir, MMJ and Xu, S and Kang, BH and Zhao, Z, Discovery of interesting association rules using genetic algorithm with adaptive mutation, Lecture Notes in Computer Science: 22nd International Conference, ICONIP 2015 - Neural Information Processing, 09-12 November 2015, Istanbul, Turkey, pp. 96-105. ISBN 978-3-319-26534-6 (2015) [Refereed Conference Paper]
Kabir, M and Xu, S and Kang, BH and Zhao, Z, A novel approach to mining maximal frequent itemsets based on genetic algorithm, Proceedings of the 9th International Conference on Information Technology and Applications, 1-4 July 2014, Sydney, Australia, pp. 1-6. ISBN 978-0-9803267-6-5 (2014) [Refereed Conference Paper]
Zhao, Z and Xu, S and Kang, BH and Kabir, M and Liu, Y, Instance selection and optimization of neural networks, Proceedings of the 9th International Conference on Information Technology and Applications, 1-4 July 2014, Sydney, Australia, pp. 1-6. ISBN 978-0-9803267-6-5 (2014) [Refereed Conference Paper]
Wasinger, R and Adam, A and Chinthammit, W and Montgomery, J and Stannus, S and Xu, S, Towards the effective use of multiple displays in teaching and learning environments, Workshop on HCI Education in Asia Pacific at OzCHI, 2 December 2014, Sydney, Australia, pp. 21-24. ISBN 978-1-4503-0653-9 (2014) [Refereed Conference Paper]
Xu, S and Liu, Y and Kang, B-H and Gao, W, A machine learning approach for modeling and its applications, Proceedings of the European Modeling and Simulation Symposium, 25-27 September, 2013, Athens, Greece, pp. 659-663. ISBN 978-88-97999-16-4 (2013) [Refereed Conference Paper]
Xu, S and Liu, Y, HONNs with ELM algorithm for medical applications, Proceedings of the 12th International Conference on Control, Automation, Robotics and Vision, 5-7 December 2012, Guangzhou, China, pp. 1215-1219. ISBN 978-1-4673-1872-3 (2012) [Refereed Conference Paper]
Xu, S, An Extreme Learning Machine Algorithm for Higher Order Neural Network, Proceedings of the 23rd European Modeling & Simulation Symposium, 12-14 September 2011, Rome, Italy, pp. 418-422. ISBN 978-88-903724-4-5 (2011) [Refereed Conference Paper]
Xu, S, A novel higher order artificial neural networks, Proceedings of the Second International Symposium on Computational Mechanics and the 12th International Conference on the Enhancement and Promotion of Computational Methods in Engineering and Science, 30 November - 3 December 2009, Hong Kong, Macau, pp. 1507-1511. ISBN 978-0-7354-0778-7 (2010) [Refereed Conference Paper]
Xu, S, Data Mining Using an Adaptive HONN Model with Hyperbolic Tangent Neurons, Knowledge Management and Acquisition for Smart Systems and Services , 20 Aug - 3 Sept 2010, Daegu, Korea, pp. 73-81. ISBN 978-3-642-15036-4 (2010) [Refereed Conference Paper]
Xu, S, Features of higher order neural network with adaptive neurons, Proceeding of the 2nd International Conference on Software Engineering and Data Mining (SEDM2010), 23-25 June 2010, Chengdu, China, pp. 484-488. ISBN 978-1-4244-7324-3 (2010) [Refereed Conference Paper]
Xu, S and Chen, L, Adaptive Higher Order Neural Networks , Proceedings of the 2009 WRI Global Congress on Intelligent Systems, 19-21 May 2009, Xiamen, China, pp. 26-30. ISBN 978-0-7695-3571-5 (2009) [Refereed Conference Paper]
Xu, S and Chen, L, Adaptive Higher Order Neural networks for Effective data Mining, Sixth International Symposium on Neural Networks (ISNN 2009), 26-29 May 2009, Wuhan, China, pp. 165-173. ISBN 978-3-642-01216-7 (2009) [Refereed Conference Paper]
Xu, S and Chen, L, A novel approach for determining the optimal number of hidden layer neurons for FNN's and its application in data mining, Proceedings The 5th International Conference on Information Technology and Applications, 23-26 June 2008, Carins, Qld, pp. 683-686. ISBN 978-0-9803267-2-7 (2008) [Refereed Conference Paper]
Xu, S and Chen, L, Application of new adaptive higher order neural networks in data mining, Proceedings International Conference on Computer Science and Software Engineering CSSE 2008, 12-14 December 2008, Wuhan, China, pp. 115-118. ISBN 978-0-7695-3336-0 (2008) [Refereed Conference Paper]
Xu, S and Zhang, M, A New Adaptive Neural Network Model for Financial Data Mining, Proceedings part 1, 4th International Symposium on Neural Networks, 3-7 June 2007, Nanjing, China, pp. 1265-1273. ISBN 3-540-72382-X (2007) [Refereed Conference Paper]
Xu, S and Zhang, M, Data Mining - An Adaptive Neural Network Model for Financial Analysis, Proceedings Third International Conference on Information Technology and Application, 4-7 July 2005, Sydney, Australia, pp. 336-340. ISBN 0-7695-2316-1 (2005) [Refereed Conference Paper]
Xu, S and Zhang, M, An Adaptive Activation Function for Higher Order Neural Networks, Proceedings / AI 2002: Advances in Artificial Intelligence, 2-6 December 2002, Canberra, Australia, pp. 356-362. ISBN 3-540-00197-2 (2002) [Refereed Conference Paper]
Xu, S and Zhang, M, A Novel Adaptive Activation Function, International Joint Conference on Neural Networks, July 15-19, 2001, Washington, DC, pp. 2779- 2782. ISBN 0-7803-7046-5 (2001) [Non Refereed Conference Paper]
Hulme, D and Xu, S, Application of Genetic Algorithms to the Optimisation of Neural Network Configuration for Stock Market Forecasting, AI 2001: Advances in Artificial Intelligence, December 10-14, 2001, Adelaide, pp. 285-296. ISBN 3-540-42960-3 (2001) [Refereed Conference Paper]
Xu, S and Zhang, M, Justification of a Neuron-Adaptive Activation Function, IJCNN Proceedings, 24 - 27 July 2000, Como, Italy, pp. 456-470. ISBN 0-7695-0619-4 (2000) [Non Refereed Conference Paper]

This list was generated on Thu Nov 22 02:04:11 2018.