Christopher Fogelberg - researchr alias

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Viewing Publication 1 - 8 from 8

2013

Dense Structural Expectation maximisation with Parallelisation for Efficient Large-Network Structural InferenceChristopher Fogelberg, Vasile Palade. ijait, 22(3), 2013. [doi]

2010

The structural inference of large regulatory networksChristopher Fogelberg. PhD thesis, University of Oxford, UK, 2010. [doi]

GreenSim: A Network Simulator for Comprehensively Validating and Evaluating New Machine Learning Techniques for Network Structural InferenceChristopher Fogelberg, Vasile Palade. ictai 2010: 225-230 [doi]

2009

Machine Learning and Genetic Regulatory Networks: A Review and a RoadmapChristopher Fogelberg, Vasile Palade. In Aboul Ella Hassanien, Ajith Abraham, Athanasios V. Vasilakos, Witold Pedrycz, editors, Foundations of Computational Intelligence, Volume 1: Learning and Approximation. Volume 201 of Studies in Computational Intelligence, pages 3-34, Springer, 2009. [doi]

Evaluating Clustering Algorithms for Genetic Regulatory Network Structural InferenceChristopher Fogelberg, Vasile Palade. sgai 2010: 137-149 [doi]

2007

A linear structured approach and a refined fitness function in genetic programming for multi-class object classificationMengjie Zhang, Christopher Fogelberg, Yuejin Ma. connection, 19(4):339-359, 2007. [doi]

Genetic Programming for Image Recognition: An LGP ApproachMengjie Zhang, Christopher Fogelberg. evoW 2007: 340-350 [doi]

2005

Linear Genetic Programming for Multi-class Object ClassificationChristopher Fogelberg, Mengjie Zhang. ausai 2005: 369-379 [doi]

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