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ORCIDFeng Xie 0001
Person information
- affiliation: RMIT University, School of Computer Science and IT, Melbourne, Australia
Other persons with the same name
- Feng Xie — disambiguation page
- Feng Xie 0002
![[0000-0001-7229-3955]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-7229-3955")
— Peking University, School of Mathematical Sciences, Beijing, China (and 1 more) - Feng Xie 0003 — National University of Defense Technology, Department of Computer Science, Changsha, China (and 1 more)
- Feng Xie 0004 — Stanford University, School of Medicine, Department of Biomedical Data Science, Stanford, CA, USA (and 1 more)
- Feng Xie 0005 — China Information Technology Security Evaluation Center, Beijing, China
- Feng Xie 0006 — Beijing Academy of Agriculture and Forestry Sciences, Intelligent Equipment Research Center, Beijing, China (and 1 more)
- Feng Xie 0007 — McMaster University, Department of Computing and Software, Hamilton, Canada
- Feng Xie 0008 — Facebook Reality Labs, USA (and 1 more)
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2010 – 2019
- 2016
[j1]Andy Song, Feng Xie, Vic Ciesielski:
Learning patterns of states from multi-channel time series using genetic programming. Soft Comput. 20(10): 3915-3925 (2016)- 2014
- [c14]Feng Xie, Andy Song, Vic Ciesielski:
Genetic programming based activity recognition on a smartphone sensory data benchmark. IEEE Congress on Evolutionary Computation 2014: 2917-2924 - [c13]Feng Xie, Andy Song, Vic Ciesielski:
Learning Patterns of States in Time Series by Genetic Programming. SEAL 2014: 371-382 - [c12]Anh Hoang Dau, Andy Song, Feng Xie, Flora Dilys Salim, Vic Ciesielski:
Genetic Programming for Channel Selection from Multi-stream Sensor Data with Application on Learning Risky Driving Behaviours. SEAL 2014: 542-553 - 2013
- [c11]Feng Xie, Andy Song, Flora Dilys Salim, Athman Bouguettaya, Timos K. Sellis, Doug Bradbrook:
Learning Risky Driver Behaviours from Multi-Channel Data Streams Using Genetic Programming. Australasian Conference on Artificial Intelligence 2013: 202-213 - [c10]Feng Xie, Alexandra L. Uitdenbogerd, Andy Song:
Detecting PCB component placement defects by genetic programming. IEEE Congress on Evolutionary Computation 2013: 1138-1145 - [c9]Feng Xie, Andy Song, Victor Ciesielski:
Activity recognition by smartphone based multi-channel sensors with genetic programming. IEEE Congress on Evolutionary Computation 2013: 1162-1169 - [c8]Feng Xie, A. Kai Qin, Andy Song, Victor Ciesielski:
Sensor-based activity recognition with improved GP-based classifier. IEEE Congress on Evolutionary Computation 2013: 3043-3050 - [c7]Feng Xie, Andy Song, Victor Ciesielski:
Human Action Recognition from Multi-Sensor Stream Data by Genetic Programming. EvoApplications 2013: 418-427 - [c6]Feng Xie, Anh Hoang Dau, Alexandra L. Uitdenbogerd, Andy Song:
Evolving PCB visual inspection programs using genetic programming. IVCNZ 2013: 406-411 - 2012
- [c5]Feng Xie, Andy Song, Victor Ciesielski:
Learning Time Series Patterns by Genetic Programming. ACSC 2012: 57-62 - [c4]Feng Xie, Andy Song, Victor Ciesielski:
Evolving Event Detectors in Multi-channel Sensor Data. Australasian Conference on Artificial Intelligence 2012: 731-742 - [c3]Feng Xie, Andy Song:
Evolving frame splitters by Genetic Programming. IEEE Congress on Evolutionary Computation 2012: 1-7 - [c2]Feng Xie, Andy Song, Victor Ciesielski:
Event detection in time series by genetic programming. IEEE Congress on Evolutionary Computation 2012: 1-8 - 2011
- [c1]Andy Song, Feng Xie:
Evolving automatic frame splitters. GECCO (Companion) 2011: 221-222
Coauthor Index
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