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Inhalt des Dokuments

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Meyer, R., Ladenbauer, J. and Obermayer, K. (2017). Influence of Mexican Hat Recurrent Connectivity on Noise Correlations and Stimulus Encoding. Frontiers in Computational Neuroscience


Mohr, J., Seyfarth, J., Lueschow, A., Weber, J. E., Wichman, F. A. and Obermayer, K. (2016). BOiS - Berlin Object in Scene Database: Controlled Photographic Images for Visual Search Experiments with Quantified Contextual Priors. Frontiers in Psychology, 7


Mohr, J., Hess, A., Scholz, M. and Obermayer, K. (2004). A Method for the Automatic Segmentation Autoradiographic Image Stacks and Spatial Normalization of Functional Cortical Activity Data. J. Neurosci. Methods, 134, 45 – 58.


Mohr, J., Hess, A., Scholz, M. and Obermayer, K. (2003). Segmentation of 2 1/2 D Brain Image Stacks with Automatic Extraction and Visualization of Functional Information. Proceedings of the IEEE International Conference of Image Processing - ICIP03, 1089 – 1092.,


Mohr, J., Hess, A., Scholz, M. and Obermayer, K. (2002). Automatic Extraction of Anatomical and Functional Brain Data from Autoradiographic Image Stacks. Data analysis, physiological methods, statistics II, Soc. Neurosci. Abstr., 312.14.,


Mohr, J., Jain, B. and Obermayer, K. (2008). Molecule Kernels: A Descriptor- and Alignment-Free QSAR Approach. Journal of Chemical Information and Modeling, 48, 1868 – 1881.


Mohr, J., Jain, B., Sutter, A., Laak, A., Steger-Hartmann, T., Heinrich, H. and Obermayer, K. (2010). A Maximum Common Subgraph Kernel Method for Predicting the Chromosome Aberration Test. Journal of Chemical Information and Modelling, 50, 1821–1838.


Mohr, J. and Obermayer, K. (2005). A Topographic Support Vector Machine: Classification Using Local Label Configurations. Advances in Neural Information Processing Systems 17. MIT Press, 929 – 936.,


Mohr, J., Park, J.-H. and Obermayer, K. (2014). A computer vision system for rapid search inspired by surface-based attention mechanisms from human perception. Neural Networks, 60, 182 - 193.


Mohr, J., Puls, I., Wrase, J., Hochreiter, S., Heinz, A. and Obermayer, K. (2006). P-SVM Variable Selection for Discovering Dependencies Between Genetic and Brain Imaging Data. IJCNN 2006 Conference Proceedings, 5020 – 5027.,


Mohr, J., Seo, S. and Obermayer, K. (2014). A classifier-based association test for imbalanced data derived from prediction theory. Neural Networks (IJCNN), 2014 International Joint Conference on, 487-493.,10.1109/IJCNN.2014.6889547


Mohr, J., Seo, S. and Obermayer, K. (2008). Automated Microarray Classification Based on P-SVM Gene Selection. Proceedings of the ICMLA '08: The Seventh International Conference on Machine Learning and Applications. IEEE, 503 – 507.,10.1109/ICMLA.2008.75


Mohr, J., Seo, S., Puls, I., Heinz, A. and Obermayer, K. (2008). Target Selection: A New Learning Paradigm and its Application to Genetic Association Studies. Proceedings of the ICMLA '08: The Seventh International Conference on Machine Learning and Applications. IEEE, 182 – 187.,10.1109/ICMLA.2008.58


Müller, L., Ploner, M., Goerttler, T. and Obermayer, K. (2021). An Interactive Introduction to Model-Agnostic Meta-Learning. Workshop on Visualization for AI Explainability at IEEE VIS


Murfi, H. and Obermayer, K. (2009). A Two-Level Learning Hierarchy of Concept Based Keyword Extraction for Tag Recommendations. Proceedings ECML PKDD Discovery Challenge, 201 – 214.,


Müller, T., Stetter, M., Hübener, M., Gödecke, I., Chapman, B., Löwel, S., Sengpiel, F., Bonhoeffer, T. and Obermayer, K. (2000). An Analysis of Orientation and Ocular Dominance Patterns in the Visual Cortex of Cats and Ferrets. Neural Computation, 12, 2573 – 2596.


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Natora, M., Franke, F., Broda, S. and Obermayer, K. (2010). Optimal Steering Vector Adaptation for Linear Filters Leading to Robust Beamforming. Proceedings of International Symposium on Communications, Control and Signal Processing. IEEE, 1 – 6.,10.1109/ISCCSP.2010.5463496


Natora, M., Franke, F. and Obermayer, K. (2010). Spike Detection in Extracellular Recordings by Hybrid Blind Beamforming. 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, 4636 – 4641.


Natora, M., Franke, F. and Obermayer, K. (2009). Optimal Convolutive Filters for Real-Time Detection and Arrival Time Estimation of Transient Signals. Proceedings of World Academy of Science, Engineering and Technology. WASET, 235 – 240.,


Natora, M. and Obermayer, K. (2011). An Unsupervised and Drift-adaptive Spike Detection Algorithm Based on Hybrid Blind Beamforming. EURASIP J. Adv. Signal Processing 2011, 2011


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