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ORCIDChristopher Fogelberg
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2010 – 2019
- 2013
[j2]Christopher Fogelberg, Vasile Palade
:
Dense Structural Expectation maximisation with Parallelisation for Efficient Large-Network Structural Inference. Int. J. Artif. Intell. Tools 22(3) (2013)- 2010
- [b1]Christopher Fogelberg:
The structural inference of large regulatory networks. University of Oxford, UK, 2010 - [c4]Christopher Fogelberg, Vasile Palade:
GreenSim: A Network Simulator for Comprehensively Validating and Evaluating New Machine Learning Techniques for Network Structural Inference. ICTAI (2) 2010: 225-230
2000 – 2009
- 2009
- [c3]Christopher Fogelberg, Vasile Palade:
Evaluating Clustering Algorithms for Genetic Regulatory Network Structural Inference. SGAI Conf. 2009: 137-149 - [p1]Christopher Fogelberg, Vasile Palade:
Machine Learning and Genetic Regulatory Networks: A Review and a Roadmap. Foundations of Computational Intelligence (1) 2009: 3-34 - 2007
- [j1]Mengjie Zhang, Christopher Fogelberg, Yuejin Ma:
A linear structured approach and a refined fitness function in genetic programming for multi-class object classification. Connect. Sci. 19(4): 339-359 (2007) - [c2]Mengjie Zhang, Christopher Fogelberg:
Genetic Programming for Image Recognition: An LGP Approach. EvoWorkshops 2007: 340-350 - 2005
- [c1]Christopher Fogelberg, Mengjie Zhang:
Linear Genetic Programming for Multi-class Object Classification. Australian Conference on Artificial Intelligence 2005: 369-379
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