Martin Stetter

Torsten Schon, Martin Stetter, Elmar Wolfgang Lang: Structure Learning for Bayesian Networks Using the Physarum Solver. ICMLA (1) 2012: 488-493

Reinhard Schachtner, Dominik Lutter, P. Knollmüller, Ana Maria Tomé, Fabian J. Theis, Gerd Schmitz, Martin Stetter, Pedro Gómez Vilda, Elmar Wolfgang Lang: Knowledge-based gene expression classification via matrix factorization. Bioinformatics 24(15): 1688-1697 (2008)

Markus Bundschus, Mathäus Dejori, Martin Stetter, Volker Tresp, Hans-Peter Kriegel: Extraction of semantic biomedical relations from text using conditional random fields. BMC Bioinformatics 9 (2008)

Rui Chang, Wilfried Brauer, Martin Stetter: Modeling semantics of inconsistent qualitative knowledge for quantitative Bayesian network inference. Neural Networks 21(2-3): 182-192 (2008)

Rui Chang, Martin Stetter, Wilfried Brauer: Quantitative Inference by Qualitative Semantic Knowledge Mining with Bayesian Model Averaging. IEEE Trans. Knowl. Data Eng. 20(12): 1587-1600 (2008)

Rui Chang, Martin Stetter: A Knowledge-based Dynamic Bayesian Framework Towards Molecular Network Modeling and Quantitative Prediction. BIOCOMP 2007: 37-43

Andreas Nägele, Mathäus Dejori, Martin Stetter: Bayesian Substructure Learning - Approximate Learning of Very Large Network Structures. ECML 2007: 238-249

Anton Schwaighofer, Mathäus Dejori, Volker Tresp, Martin Stetter: Structure Learning with Nonparametric Decomposable Models. ICANN (1) 2007: 119-128

Rui Chang, Martin Stetter: Quantitative Bayesian Inference by Qualitative Knowledge Modeling. IJCNN 2007: 2563-2568

Miruna Szabo, Martin Stetter, Gustavo Deco, Stefano Fusi, Paolo Del Giudice, Maurizio Mattia: Learning to Attend: Modeling the Shaping of Selectivity in Infero-temporal Cortex in a Categorization Task. Biological Cybernetics 94(5): 351-365 (2006)

Miruna Szabo, Rita Almeida, Gustavo Deco, Martin Stetter: A neuronal model for the shaping of feature selectivity in IT by visual categorization. Neurocomputing 65-66: 195-201 (2005)

Mathäus Dejori, Martin Stetter: Identifying Interventional and Pathogenic Mechanisms by Generative Inverse Modeling of Gene Expression Profiles. Journal of Computational Biology 11(6): 1135-1148 (2004)

Martin Stetter, Gustavo Deco, Mathäus Dejori: Large-Scale Computational Modeling of Genetic Regulatory Networks. Artif. Intell. Rev. 20(1-2): 75-93 (2003)

Silvia Corchs, Martin Stetter, Gustavo Deco: Systems-Level Neuronal Modeling of Visual Attentional Mechanisms. Artif. Intell. Rev. 20(1-2): 143-160 (2003)

Mathäus Dejori, Martin Stetter: Bayesian Inference of Genetic Networks from Gene-Expression-Data: Convergence and Reliability. IC-AI 2003: 323-327

Hauke Bartsch, Martin Stetter, Klaus Obermayer: Contextual effects by short range connections in a mean-field model of V1. Neurocomputing 38-40: 475-481 (2001)

Hauke Bartsch, Martin Stetter, Klaus Obermayer: On the Influence of Threshold Variability in a Mean-Field Model of the Visual Cortex. Emergent Neural Computational Architectures Based on Neuroscience 2001: 174-187

Martin Stetter, Hauke Bartsch, Klaus Obermayer: A mean-field model for orientation tuning, contrast saturation, and contextual effects in the primary visual cortex. Biological Cybernetics 82(4): 291-304 (2000)

Hauke Bartsch, Martin Stetter, Klaus Obermayer: The influence of threshold variability on the response of visual cortical neurons. Neurocomputing 32-33: 37-43 (2000)

T. Müller, Martin Stetter, Mark Hübener, Frank Sengpiel, Tobias Bonhoeffer, I. Gödecke, B. Chapman, Siegrid Löwel, Klaus Obermayer: An Analysis of Orientation and Ocular Dominance Patterns in the Visual Cortex of Cats and Ferrets. Neural Computation 12(11): 2573-2595 (2000)

Ingo Schießl, Martin Stetter, John E. W. Mayhew, Niall McLoughlin, Jennifer S. Lund, Klaus Obermayer: Blind signal separation from optical imaging recordings with extended spatial decorrelation. IEEE Trans. Biomed. Engineering 47(5): 573-577 (2000)

Ingo Schießl, Martin Stetter, John E. W. Mayhew, Niall McLoughlin, Jennifer S. Lund, Klaus Obermayer: Blind Signal Separation from Optical Imaging Data. DAGM-Symposium 2000: 91-98

Holger Schoner, Martin Stetter, Ingo Schießl, John E. W. Mayhew, Jennifer S. Lund, Niall McLoughlin, Klaus Obermayer: Application of Blind Separation of Sources to Optical Recording of Brain Activity. NIPS 1999: 949-955

K. Brunner, M. Kussinger, Martin Stetter, Elmar Wolfgang Lang: A neural network model for the emergence of grating cells. Biological Cybernetics 78(5): 389-397 (1998)

Martin Stetter, Péter Adorján, Hauke Bartsch, Klaus Obermayer: Modelling Contrast Adaptation and Contextual Effects in Primary Visual Cortex. ICONIP 1998: 669-672

Martin Stetter, Elmar Wolfgang Lang, Klaus Obermayer: Synapse Clustering Can Drive Simultaneous ON-OFF and Ocular-Dominance Segregation in a Model of Area 17. ICANN 1997: 189-194

Hauke Bartsch, Martin Stetter, Klaus Obermayer: A Model for Orientation Tuning and Contextual Effects of Orientation Selective Receptive Fields. ICANN 1997: 237-242

Martin Stetter, M. Kussinger, A. Schels, E. Seeger, Elmar Wolfgang Lang: Self-Organization of Cortical Receptive Fields and Columnar Structures in a Hebb Trained Neural Network. IWANN 1995: 37-44

Martin Stetter, Elmar Wolfgang Lang, A. Müller: Emergence of orientation selective simple cells simulated in deterministic and stochastic neural networks. Biological Cybernetics 68(5): 465-476 (1993)