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Items where Author is "Xu, S"

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Number of items: 30.

Article

Aghdam, AR, Xu, S ORCID: 0000-0003-0597-7040, Kaveie, A, Fahimi, SA, Khani, EG and Kamalpour, M 2017 , 'Performance assessment of payment gateways in banking services in Tehran, Iran' , International Journal on Computer Science and Engineering, vol. 9, no. 8 , pp. 496-505 .

Arafat, MY, Hoque, S, Xu, S ORCID: 0000-0003-0597-7040 and Farid, DM 2019 , 'Machine learning for mining imbalanced data' , IAENG International Journal of Computer Science, vol. 46, no. 2 , pp. 332-348 .

Badhon, B, Kabir, MMJ, Xu, S ORCID: 0000-0003-0597-7040 and Kabir, A 2019 , 'A survey on association rule mining based on evolutionary algorithms' , International Journal of Computers and Applications , pp. 1-11 , doi: 10.1080/1206212X.2019.1612993.

Bin Shafaat, A and Xu, S ORCID: 0000-0003-0597-7040 2017 , 'A comparative study of technologies developed in perspective of distributed operating systems' , Advances in Modelling and Analysis B, vol. 60, no. 3 , pp. 613-629 , doi: 10.18280/ama_b.600307.

Forouzandeh, S, Aghdam, AR, Xu, S ORCID: 0000-0003-0597-7040 and Forouzandeh, S 2020 , 'Addressing the cold-start problem using data mining techniques and improving recommender systems by Cuckoo algorithm: a case study of Facebook' , Computing in Science and Engineering, vol. 22, no. 4 , pp. 62-73 , doi: 10.1109/MCSE.2018.2875321.

Forouzandeh, S, Sheikhahmadi, A, Rezaei Aghdam, A and Xu, S ORCID: 0000-0003-0597-7040 2018 , 'New centrality measure for nodes based on user social status and behavior on Facebook' , International Journal of Web Information Systems, vol. 14, no. 2 , pp. 158-176 , doi: 10.1108/IJWIS-07-2017-0053.

Iskandar, I, Willett, R and Xu, S ORCID: 0000-0003-0597-7040 2018 , 'The development of a government cash forecasting model' , Journal of Public Budgeting, Accounting & Financial Management, vol. 30, no. 4 , pp. 368-383 , doi: 10.1108/JPBAFM-04-2018-0036.

Kabir, M, Kabir, MMJ, Xu, S ORCID: 0000-0003-0597-7040 and Badhon, B 2019 , 'An empirical research on sentiment analysis using machine learning approaches' , International Journal of Computers and Applications , pp. 1-9 , doi: 10.1080/1206212X.2019.1643584.

Kampalpour, M, Aghdam, AR, Xu, S ORCID: 0000-0003-0597-7040, Khani, EG and Baghi, A 2017 , 'Uncovering hotel guests preferences through data mining techniques' , International Journal of Computer Science and Network Security, vol. 17, no. 8 , pp. 1-10 .

Mohawesh, R ORCID: 0000-0002-9332-3487, Tran, S ORCID: 0000-0002-5912-293X, Ollington, R ORCID: 0000-0001-7533-2307 and Xu, S ORCID: 0000-0003-0597-7040 2021 , 'Analysis of concept drift in fake reviews detection' , Expert Systems with Applications, vol. 169 , pp. 1-20 , doi: 10.1016/j.eswa.2020.114318.

Mohawesh, R ORCID: 0000-0002-9332-3487, Xu, S ORCID: 0000-0003-0597-7040, Tran, SN ORCID: 0000-0002-5912-293X, Ollington, R ORCID: 0000-0001-7533-2307, Springer, M ORCID: 0000-0003-3017-2893, Jararweh, Y and Maqsood, S 2021 , 'Fake reviews detection: A survey' , IEEE Access, vol. 9 , pp. 65771-65802 , doi: 10.1109/ACCESS.2021.3075573.

Wang, M, Xin, L, Cai, G ORCID: 0000-0002-6481-704X, Zhang, X, Yang, X, Li, Xiaona, Xia, Q, Wang, L, Xu, S, Xu, J, Shuai, Z, Ding, C ORCID: 0000-0002-9479-730X and Pan, F 2017 , 'Pathogenic variants screening in seventeen candidate genes on 2p15 for association with ankylosing spondylitis in a Han Chinese population' , PLoS ONE, vol. 12, no. 5 , pp. 1-12 , doi: 10.1371/journal.pone.0177080.

Wang, M, Xu, S, Zhang, X, Chen, M, Han, R, Hu, X, Yuan, Y, Ma, Y, Yang, J, Wu, M, Liu, R, Jiang, G and Pan, F 2018 , 'Association of TLR7 gene copy number variations with ankylosing spondylitis in a Chinese population: a case control study' , Clinical and Experimental Rheumatology, vol. 36, no. 5 , pp. 814-819 .

Wei, Y, Tran, S ORCID: 0000-0002-5912-293X, Xu, S ORCID: 0000-0003-0597-7040, Kang, B ORCID: 0000-0003-3476-8838 and Springer, M ORCID: 0000-0003-3017-2893 2020 , 'Deep learning for retail product recognition: challenges and techniques' , Computational Intelligence and Neuroscience, vol. 2020 , pp. 1-23 , doi: 10.1155/2020/8875910.

Xia, Q, Wang, M, Yang, X, Li, Xiaogang, Zhang, X, Xu, S, Shuai, Z, Xu, J, Fan, D, Ding, C ORCID: 0000-0002-9479-730X and Pan, F 2017 , 'Autophagy-related IRGM genes confer susceptibility to ankylosing spondylitis in a Chinese female population: a case-control study' , Genes and Immunity, vol. 18, no. 1 , pp. 42-47 , doi: 10.1038/gene.2016.48.

Yuan, N, Yang, W, Kang, B, Xu, S and Li, C 2018 , 'Notice of Retraction. Signal fusion-based deep fast random forest method for machine health assessment' , Journal of Manufacturing Systems, vol. 48 , pp. 1-8 .

Yuan, N, Yang, W, Kang, B, Xu, S, Wang, X and Li, C 2018 , 'Notice of Retraction. Manifold learning-based fuzzy k-principal curve similarity evaluation for wind turbine condition monitoring' , Energy Science & Engineering , pp. 1-12 .

Zhang, M, Xu, S and Fulcher, J 2007 , 'ANSER: an Adaptive-Neuron Artificial Neural Network System for Estimating Rainfall Using Satellite Data' , International Journal of Computers and Applications, vol. Vol. 2, no. No. 3 , pp. 215-222 .

Zhang, X, Ji, S, Cai, G ORCID: 0000-0002-6481-704X, Pan, Z, Han, R, Yuan, Y, Xu, S, Yang, J, Hu, X, Chen, M, Wu, M, Ma, Y, Deng, J, Gao, X, Guan, S, Xu, S, Shuai, Z, Laslett, L ORCID: 0000-0002-4336-0095 and Pan, F 2020 , 'H19 increases IL-17A/IL-23 releases via regulating VDR by interacting with miR675-5p/miR22-5p in ankylosing spondylitis' , Molecular Therapy - Nucleic Acids, vol. 19 , pp. 393-404 , doi: 10.1016/j.omtn.2019.11.025.

Zhang, X, Yuan, Y, Pan, Z, Ma, Y, Wu, M, Yang, J, Han, R, Chen, M, Hu, X, Liu, R, Sam, NB, Xu, S and Pan, F 2019 , 'Elevated circulating IL-17 level is associated with inflammatory arthritis and disease activity: A meta-analysis' , Clinica Chimica Acta, vol. 496 , pp. 76-83 , doi: 10.1016/j.cca.2019.06.026.

Book Section

Fulcher, J, Zhang, M and Xu, S 2006 , 'Application of Higher-Order Neural Networks to Financial Time-Series Prediction', in Joarder Kamruzzaman and Rezaul Begg and Ruhul Sarker (eds.), Artificial Neural Networks in Finance and Manufacturing , Idea Group Publishing, Hershey, PA.

Xu, S 2009 , 'Adaptive higher order neural network models and their applications in business', in M Zhang (ed.), Artificial Higher Order Neural Networks for Economics and Business , IGI Global, Hershey, New York, pp. 314-329.

Conference or Workshop Item

Xu, S and Zhang, M 2007 , 'A New Adaptive Neural Network Model for Financial Data Mining', paper presented at the Advances in Neural Networks - ISNN 2007, 3-7 June 2007, Nanjing, China.

Xu, S and Chen, L 2008 , 'Application of new adaptive higher order neural networks in data mining', paper presented at the 2008 International Conference on Computer Science and Software Engineering (CSSE 2008), 12-14 Dec 2008, Wuhan, China.

Xu, S and Chen, L 2008 , 'A novel approach for determining the optimal number of hidden layer neurons for FNN’s and its application in data mining', paper presented at the 5th International Conference on Information Technology and Applications (ICITA 2008), 23-26 June 2008, Cairns, Queensland, Australia.

Conference Publication

Arafat, MY, Hoque, S, Xu, S ORCID: 0000-0003-0597-7040 and Farid, DM 2019 , 'An under-sampling method with support vectors in multi-class imbalanced data classification', in Proceedings of the 13th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2019) , Institute of Electrical and Electronics Engineers, United States, pp. 1-6 , doi: 10.1109/SKIMA47702.2019.8982391.

Liu, Y, Xu, Z, Li, N, Xu, S ORCID: 0000-0003-0597-7040 and Gang, Y 2018 , 'A path planning algorithm for plant protection UAV for avoiding multiple obstruction areas', in Proceedings of the 6th IFAC Conference on Bio-Robotics (BIOROBOTICS 2018) , Elsevier BV, Netherlands, pp. 483-488 , doi: 10.1016/j.ifacol.2018.08.163.

Wei, Y, Xu, S ORCID: 0000-0003-0597-7040, Tran, S ORCID: 0000-0002-5912-293X and Kang, B ORCID: 0000-0003-3476-8838 2020 , 'Data augmentation with generative adversarial networks for grocery product image recognition', in Proceedings of the 16th IEEE International Conference on Control, Automation, Robotics and Vision, ICARCV 2020 , Institute of Electrical and Electronics Engineers, United States, pp. 963-968 , doi: 10.1109/ICARCV50220.2020.9305421.

This list was generated on Sat Oct 16 01:53:43 2021 AEDT.
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