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ORCIDQun Song 0002
Person information
- affiliation: Auckland University of Technology, Auckland, New Zealand
Other persons with the same name
- Qun Song 0001
![[0000-0002-3611-9404]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-3611-9404")
— Delft University of Technology, The Netherlands (and 1 more) - Qun Song 0003 — Northwestern Polytechnical University, Xi'an, China (and 1 more)
- Qun Song 0004 — Zhuhai Institutes of Advanced Technology of the Chinese Academy of Sciences, Zhuhai, China (and 1 more)
- Qun Song 0005 — Medical Informatics Technology Development & Research Centre, Jiamusi, China
- Qun Song 0006 — Harbin Institute of Technology, China
- Qun Song 0007 — Chongqing Technology and Business University, College of Artificial Intelligence, China
- Qun Song 0008 — Amazon, Seattle, WA, USA
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2000 – 2009
- 2009
[j5]Anju Verma, Nikola K. Kasabov, Elaine Rush, Qun Song:
Ontology Based Personalized Modeling for Chronic Disease Risk Analysis: An Integrated Approach. Aust. J. Intell. Inf. Process. Syst. 10(3) (2009)- 2008
- [c11]Yuan-Chun Hwang, Qun Song, Nikola K. Kasabov:
MUFIS: A neuro-fuzzy inference system using multiple types of fuzzy rules. FUZZ-IEEE 2008: 1411-1414 - [c10]Anju Verma, Nikola K. Kasabov, Elaine Rush, Qun Song:
Ontology Based Personalized Modeling for Chronic Disease Risk Analysis: An Integrated Approach. ICONIP (1) 2008: 1204-1210 - [c9]Yingjie Hu, Qun Song, Nikola K. Kasabov:
Personalized Modeling Based Gene Selection for Microarray Data Analysis. ICONIP (1) 2008: 1221-1228 - [c8]Yuan-Chun Hwang, Qun Song:
Dynamic Neural Fuzzy Inference System. ICONIP (1) 2008: 1245-1250 - [p1]Nikola K. Kasabov, Qun Song, Lubica Benuskova, Paulo C. M. Gottgtroy, Vishal Jain, Anju Verma, Ilkka Havukkala, Elaine Rush, Russel Pears, Alex Tjahjana, Yingjie Hu, Stephen G. MacDonell:
Integrating Local and Personalised Modelling with Global Ontology Knowledge Bases for Biomedical and Bioinformatics Decision Support. Computational Intelligence in Biomedicine and Bioinformatics 2008: 93-116 - 2007
- [c7]Qun Song, Tianmin Ma:
GAWDN-NFIS: Neural-Fuzzy Inference System with a Genetic Algorithm Based on Weighted Data Normalization and Its Application in Medicine. FSKD (4) 2007: 603-607 - 2006
- [j4]Qun Song, Nikola K. Kasabov, Tianmin Ma, Mark Roger Marshall:
Integrating regression formulas and kernel functions into locally adaptive knowledge-based neural networks: A case study on renal function evaluation. Artif. Intell. Medicine 36(3): 235-244 (2006) - [j3]Qun Song, Nikola K. Kasabov:
TWNFI - a transductive neuro-fuzzy inference system with weighted data normalization for personalized modeling. Neural Networks 19(10): 1591-1596 (2006) - [c6]Qun Song, Tianmin Ma, Nikola K. Kasabov:
TTLSC - Transductive Total Least Square Model for Classification and Its Application in Medicine. ADMA 2006: 197-204 - [e1]Nikola K. Kasabov, Mario Köppen, Andreas König, Ajith Abraham, Qun Song:
6th International Conference on Hybrid Intelligent Systems (HIS 2006), 13-15 December 2006, Auckland, New Zealand. IEEE Computer Society 2006, ISBN 0-7695-2662-4 [contents] - 2005
- [j2]Qun Song, Nikola K. Kasabov:
NFI: a neuro-fuzzy inference method for transductive reasoning. IEEE Trans. Fuzzy Syst. 13(6): 799-808 (2005) - [c5]L. Huang, Qun Song, Nikola K. Kasabov:
Evolving Connectionist Systems Based Role Allocation of Robots for Soccer Playing. ISIC 2005: 36-40 - [c4]Tianmin Ma, Qun Song, Nikola K. Kasabov, Mark Roger Marshall:
TWNFC - Transductive Neural-Fuzzy Classifier with Weighted Data Normalization and Its Application in Medicine. CIMCA/IAWTIC 2005: 479-484 - [c3]Qun Song, Tianmin Ma, Nikola K. Kasabov:
Transductive Knowledge Based Fuzzy Inference System for Personalized Modeling. FSKD (2) 2005: 528-535 - 2004
- [c2]Liang Goh, Qun Song, Nikola K. Kasabov:
A Novel Feature Selection Method to Improve Classification of Gene Expression Data. APBC 2004: 161-166 - [c1]Qun Song, Nikola K. Kasabov:
TWRBF - Transductive RBF Neural Network with Weighted Data Normalization. ICONIP 2004: 633-640 - 2002
- [j1]Nikola K. Kasabov, Qun Song:
DENFIS: dynamic evolving neural-fuzzy inference system and its application for time-series prediction. IEEE Trans. Fuzzy Syst. 10(2): 144-154 (2002)
Coauthor Index
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