Publications of Tayfun Gürel

Journals

• Tayfun Gürel, Stefan Rotter and Ulrich Egert. Functional Identification of Biological Neural Networks using Reservoir Adaptation for Point Processes. Journal of Computational Neuroscience, in press. [Online available]

• Tayfun Gürel, Luc De Raedt and Stefan Rotter. Ranking neurons for mining structure-activity relations in biological neural networks: NeuronRank. Neurocomputing, 70, 1897-1901, 2007. [Pre-print]

Book Chapters

• Tayfun Gürel, Luc De Raedt and Stefan Rotter. Mining structure-activity relations in biological neural networks using NeuronRank. Hammer B, Hitzler P (eds), "Perspectives of Neural-Symbolic Integration" Springer-Series in Computational Intelligence, volume 77, chapter 3, 47-63, 2007. [Link to pdf]

Peer Reviewed Conference and Workshop Proceedings

• Tayfun Gürel, Ulrich Egert, Steffen Kandler, Luc De Raedt and Stefan Rotter. Predicting spike activity in neuronal cultures. Proceedings of International Joint Conference on Neural Networks, 2007 (IJCNN 2007), Orlando, Florida, August 12-17, 2007. [Link to pdf]



• Tayfun Gürel and Kristian Kersting. On the trade-off between iterative classification and collective classification: first experimental results. In S. Nijssen, T. Meinl, and G. Karypis, editors, Working Notes of the Third International ECML/PKDD- Workshop on Mining Graphs, Trees and Sequences (MGTS-05), Porto, Portugal, October 7, 2005. [Pre-print]

Thesis

• Tayfun Gürel. Collective classification using a relational naive bayes classifier. M.Sc. Thesis, Institut für Informatik, Albert-Ludwigs-Universität Freiburg, Germany (2004).