[1] J. H. Metzen, M. Edgington, Y. Kassahun, and F. Kirchner. Evolving neural networks for online reinforcement learning. In Proceedings of the 10th International Conference on Parallel Problem Solving From Nature (PPSN 2008), 2008. Accepted. [ bib ]
[2] J. H. Metzen, T. Kröger, A. Schenk, S. Zidowitz, H. O. Peitgen, and X. Jiang. Matching of tree structures for registration of medical images. Image and Vision Computing, 2008. Accepted. [ bib ]
[3] Y. Kassahun, J. H. Metzen, and M. Edgington. Incremental acquisition of neural structures through evolution. Studies in Computational Intelligence. Springer Verlag, 2008. Accepted. [ bib ]
[4] Y. Kassahun, J. de Gea, M. Edgington, J. H. Metzen, and F. Kirchner. Accelerating neuroevolutionary methods using a Kalman filter. In Proceedings of the 10th Genetic and Evolutionary Computation Conference (GECCO-2008), 2008. Accepted. [ bib ]
[5] J. H. Metzen, M. Edgington, Y. Kassahun, and F. Kirchner. Towards efficient online reinforcement learning using neuroevolution. In Proceedings of the 10th Genetic and Evolutionary Computation Conference (GECCO-2008), 2008. Accepted as Poster. [ bib ]
[6] J. H. Metzen, M. Edgington, Y. Kassahun, and F. Kirchner. Analysis of an evolutionary reinforcement learning method in a multiagent domain. In Proceedings of the Seventh International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2008), pages 291 - 298, Estoril, Portugal, May 2008. [ bib ]
[7] J. H. Metzen, M. Edgington, Y. Kassahun, and F. Kirchner. Performance evaluation of EANT in the RoboCup Keepaway benchmark. In Proceedings of the Sixth International Conference on Machine Learning and Applications (ICMLA 2007), pages 342 - 347, Cincinnati, Ohio, USA, December 2007. [ bib ]
[8] Y. Kassahun, M. Edgington, J. H. Metzen, G. Sommer, and F. Kirchner. A common genetic encoding for both direct and indirect encodings of networks. In Genetic and Evolutionary Computation Conference (GECCO-2007), pages 1029-1036, London, UK, July 2007. [ bib | .pdf ]
[9] Y. Kassahun, J. H. Metzen, J. de Gea, M. Edgington, and F. Kirchner. A general framework for encoding and evolving neural networks. In Proceedings of the 30th Annual German Conference on Artificial Intelligence (KI07), pages 205-219, Osnabrück, Germany, September 2007. [ bib | .pdf ]
[10] J. H. Metzen, T. Kröger, A. Schenk, S. Zidowitz, H. O. Peitgen, and X. Jiang. Matching of tree structures for registration of medical images. In Proceedings of the Graph-Based Representations in Pattern Recognition, Alicante, Spain, June 2007. Springer-Verlag. [ bib | .pdf ]
[11] J. H. Metzen, T. Kröger, A. Schenk, S. Zidowitz, H. O. Peitgen, and X. Jiang. Matching von Baumstrukturen - Zuordnung von Gefäßsystemen aus Leber und Lunge. In Proceedings of the Bildverarbeitung für die Medizin 2007 - Algorithmen, Systeme Anwendungen, Munich, Germany, March 2007. Springer Verlag. [ bib | .pdf ]
[12] J. H. Metzen. Matching von Baumstrukturen in der medizinischen Bildverarbeitung. Master's thesis, Westfälische Wilhelms-Universität Münster, July 2006. [ bib | .pdf ]
[13] J. Müller, J. H. Metzen, A. Ploss, M. Schellmann, and S. Gorlatch. Rokkatan: Scaling an RTS game design to the massively multiplayer realm. In ACM SIGHCHI International Conference on Advances in Computer Entertainment Technology (ACE 05), pages 125-132, Valencia, Spain, June 2005. ACM. [ bib | .pdf ]

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