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HaoFan Yang

Hao-Fan Yang

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affiliation: La Trobe University, Department of Computer Science and Information Technology, Melbourne, VIC, Australia
affiliation (PhD 2012): Queensland University of Technology, Brisbane, QLD, Australia

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2010 – 2019

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2019
[j6]
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Hao-Fan Yang, Yi-Ping Phoebe Chen:
Representation learning with extreme learning machines and empirical mode decomposition for wind speed forecasting methods. Artif. Intell. 277 (2019)
[j5]
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Hao-Fan Yang, Yi-Ping Phoebe Chen:
Hybrid deep learning and empirical mode decomposition model for time series applications. Expert Syst. Appl. 120: 128-138 (2019)
[j4]
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Hao-Fan Yang, Tharam S. Dillon, Elizabeth Chang, Yi-Ping Phoebe Chen:
Optimized Configuration of Exponential Smoothing and Extreme Learning Machine for Traffic Flow Forecasting. IEEE Trans. Ind. Informatics 15(1): 23-34 (2019)
2017
[j3]
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  - journals/tnn/YangDC17
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Hao-Fan Yang, Tharam S. Dillon, Yi-Ping Phoebe Chen:
Optimized Structure of the Traffic Flow Forecasting Model With a Deep Learning Approach. IEEE Trans. Neural Networks Learn. Syst. 28(10): 2371-2381 (2017)
2015
[j2]
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Hao-Fan Yang, Yi-Ping Phoebe Chen:
Data mining in lung cancer pathologic staging diagnosis: Correlation between clinical and pathology information. Expert Syst. Appl. 42(15-16): 6168-6176 (2015)
[c3]
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  - conf/ifip12/YangDC15
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Hao-Fan Yang, Tharam S. Dillon, Yi-Ping Phoebe Chen:
Evaluation of Recent Computational Approaches in Short-Term Traffic Forecasting. IFIP AI 2015: 108-116
2013
[j1]
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  - journals/snam/YangZR13
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Hao-Fan Yang, Jinglan Zhang, Paul Roe:
Reputation modelling in Citizen Science for environmental acoustic data analysis. Soc. Netw. Anal. Min. 3(3): 419-435 (2013)
2011
[c2]
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  - conf/eScience/TruskingerYWZWR11
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Anthony Truskinger, Hao-Fan Yang, Jason Wimmer, Jinglan Zhang, Ian Williamson, Paul Roe:
Large Scale Participatory Acoustic Sensor Data Analysis: Tools and Reputation Models to Enhance Effectiveness. eScience 2011: 150-157
[c1]
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  - journals/procedia/YangZR11
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Hao-Fan Yang, Jinglan Zhang, Paul Roe:
Using Reputation Management in Participatory Sensing for Data Classification. ANT/MobiWIS 2011: 190-197

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