Shuxiang Xu 个人学术档案 - 学术资源搜索

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Dr. Mir Md. Jahangir KabirLecturer, University of Technology Sydney, Australia在 uts.edu.au 的电子邮件经过验证
Byeong Ho KangProfessor, University of Tasmania在 utas.edu.au 的电子邮件经过验证
Matthew SpringerLecturer of Information Communication Technology, University of Tasmania在 utas.edu.au 的电子邮件经过验证
Zongyuan ZhaoSchool of Computing and Information Systems, University of Tasmania, Launceston, Tasmania, Australia在 utas.edu.au 的电子邮件经过验证
Rami MohaweshAssistant Professor at Al-Ain University在 utas.edu.au 的电子邮件经过验证
Son N. TranDeakin University在 deakin.edu.au 的电子邮件经过验证
Sumbal MaqsoodPhD researcher & Teaching @ University of Tasmania在 utas.edu.au 的电子邮件经过验证
Rainer WasingerWestsächsische Hochschule Zwickau在 wasinet.com 的电子邮件经过验证
Yuchen WeiSchool of ICT, University of Tasmania在 utas.edu.au 的电子邮件经过验证
Sabera HoquePh.D. candidate and casual staff member, Info and Communications Technology, University of Tasmania在 utas.edu.au 的电子邮件经过验证
Md. Yasir ArafatMSc & BSc in Computer Science and Engineering在 arafat.info 的电子邮件经过验证
Atae Rezaei AghdamPhD candidate at Queensland University of Technology在 hdr.qut.edu.au 的电子邮件经过验证
Robert OllingtonLecturer, University of Tasmania在 utas.edu.au 的电子邮件经过验证
Bodrunnessa BadhonPhD Candidate, UNSW, Canberra在 adfa.edu.au 的电子邮件经过验证
Monika KabirMurdoch University, Australia在 student.murdoch.edu.au 的电子邮件经过验证
Ananda MaitiDeakin University在 deakin.edu.au 的电子邮件经过验证
Wenli YangUniversity of Tasmania在 utas.edu.au 的电子邮件经过验证
Saurabh GargSchool of Computing and Information Systems, University of Tasmania在 utas.edu.au 的电子邮件经过验证
Shuangshuang FanAustralian Maritime College在 utas.edu.au 的电子邮件经过验证
Peter KingAustralian Maritime College在 utas.edu.au 的电子邮件经过验证

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Shuxiang Xu

School of Information and Communication Technology, University of Tasmania

在 utas.edu.au 的电子邮件经过验证 - 首页

Machine Learning deep learning Neural Networks recommender systems


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	277	2015
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 University Of Tasmania, 2008	264	2008
Fake reviews detection: A survey R Mohawesh, S Xu, SN Tran, R Ollington, M Springer, Y Jararweh, ... IEEE Access 9, 65771-65802, 2021	134	2021
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	126	2002
Deep learning for retail product recognition: Challenges and techniques Y Wei, S Tran, S Xu, B Kang, M Springer Computational intelligence and neuroscience 2020 (1), 8875910, 2020	101	2020
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	55	2006
Analysis of concept drift in fake reviews detection R Mohawesh, S Tran, R Ollington, S Xu Expert Systems with Applications 169, 114318, 2021	51	2021
A survey: From shallow to deep machine learning approaches for blood pressure estimation using biosensors S Maqsood, S Xu, S Tran, S Garg, M Springer, M Karunanithi, ... Expert Systems with Applications 197, 116788, 2022	45	2022
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	43	2021
A comprehensive review on 3D object detection and 6D pose estimation with deep learning S Hoque, MY Arafat, S Xu, A Maiti, Y Wei IEEE Access 9, 143746-143770, 2021	43	2021
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	42	2017
A benchmark study of machine learning for analysis of signal feature extraction techniques for blood pressure estimation using photoplethysmography (PPG) S Maqsood, S Xu, M Springer, R Mohawesh Ieee Access 9, 138817-138833, 2021	41	2021
Data mining-an adaptive neural network model for financial analysis S Xu, M Zhang Third International Conference on Information Technology and Applications …, 2005	33	2005
Addressing the cold-start problem using data mining techniques and improving recommender systems by cuckoo algorithm: A case study of Facebook S Forouzandeh, AR Aghdam, S Forouzandeh, S Xu Computing in Science & Engineering 22 (4), 62-73, 2018	30	2018
New centrality measure for nodes based on user social status and behavior on Facebook S Forouzandeh, A Sheikhahmadi, A Rezaei Aghdam, S Xu International Journal of Web Information Systems 14 (2), 158-176, 2018	30	2018
Justification of a neuron-adaptive activation function S Xu, M Zhang Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural …, 2000	30	2000
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	29	2018
Machine learning for mining imbalanced data MY Arafat, S Hoque, S Xu, DM Farid University Of Tasmania, 2019	28	2019
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	25	2009
A novel adaptive activation function S Xu, M Zhang IJCNN'01. International Joint Conference on Neural Networks. Proceedings …, 2001	25	2001

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