Martin Stetter

According to our database1, Martin Stetter authored at least 37 papers between 1993 and 2014.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




Physarum Learner: A bio-inspired way of learning structure from data.
Expert Syst. Appl., 2014

A New Physarum Learner for Network Structure Learning from Biomedical Data.
Proceedings of the BIOSIGNALS 2013, 2013

Structure Learning for Bayesian Networks Using the Physarum Solver.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Quantitative Inference by Qualitative Semantic Knowledge Mining with Bayesian Model Averaging.
IEEE Trans. Knowl. Data Eng., 2008

Modeling semantics of inconsistent qualitative knowledge for quantitative Bayesian network inference.
Neural Networks, 2008

Extraction of semantic biomedical relations from text using conditional random fields.
BMC Bioinformatics, 2008

Knowledge-based gene expression classification via matrix factorization.
Bioinformatics, 2008

Quantitative Bayesian Inference by Qualitative Knowledge Modeling.
Proceedings of the International Joint Conference on Neural Networks, 2007

Structure Learning with Nonparametric Decomposable Models.
Proceedings of the Artificial Neural Networks, 2007

Bayesian Substructure Learning - Approximate Learning of Very Large Network Structures.
Proceedings of the Machine Learning: ECML 2007, 2007

A Knowledge-based Dynamic Bayesian Framework Towards Molecular Network Modeling and Quantitative Prediction.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2007

Learning to Attend: Modeling the Shaping of Selectivity in Infero-temporal Cortex in a Categorization Task.
Biological Cybernetics, 2006

Logical nano-computation in enzymatic reaction networks.
Proceedings of the 1st International ICST Conference on Bio Inspired Models of Network, 2006

Classifying brain states and determining the discriminating activation patterns: Support Vector Machine on functional MRI data.
NeuroImage, 2005

A neuronal model for the shaping of feature selectivity in IT by visual categorization.
Neurocomputing, 2005

Systems Level Modeling of Gene Regulatory Networks.
Proceedings of the Artificial Intelligence Methods And Tools For Systems Biology, 2004

Computational Neuroscience for Cognitive Brain Functions.
Proceedings of the Artificial Intelligence Methods And Tools For Systems Biology, 2004

Identifying Interventional and Pathogenic Mechanisms by Generative Inverse Modeling of Gene Expression Profiles.
Journal of Computational Biology, 2004

Modeling texture-constancy of cortical grating cells.
Neurocomputing, 2004

Large-Scale Computational Modeling of Genetic Regulatory Networks.
Artif. Intell. Rev., 2003

Systems-Level Neuronal Modeling of Visual Attentional Mechanisms.
Artif. Intell. Rev., 2003

Bayesian Inference of Genetic Networks from Gene-Expression-Data: Convergence and Reliability.
Proceedings of the International Conference on Artificial Intelligence, 2003

Contextual effects by short range connections in a mean-field model of V1.
Neurocomputing, 2001

On the Influence of Threshold Variability in a Mean-Field Model of the Visual Cortex.
Proceedings of the Emergent Neural Computational Architectures Based on Neuroscience, 2001

Blind signal separation from optical imaging recordings with extended spatial decorrelation.
IEEE Trans. Biomed. Engineering, 2000

An Analysis of Orientation and Ocular Dominance Patterns in the Visual Cortex of Cats and Ferrets.
Neural Computation, 2000

The influence of threshold variability on the response of visual cortical neurons.
Neurocomputing, 2000

A mean-field model for orientation tuning, contrast saturation, and contextual effects in the primary visual cortex.
Biological Cybernetics, 2000

Blind Signal Separation from Optical Imaging Data.
Proceedings of the Mustererkennung 2000, 2000

Application of Blind Separation of Sources to Optical Recording of Brain Activity.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

A neural network model for the emergence of grating cells.
Biological Cybernetics, 1998

Modelling Contrast Adaptation and Contextual Effects in Primary Visual Cortex.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

Synapse Clustering Can Drive Simultaneous ON-OFF and Ocular-Dominance Segregation in a Model of Area 17.
Proceedings of the Artificial Neural Networks, 1997

A Model for Orientation Tuning and Contextual Effects of Orientation Selective Receptive Fields.
Proceedings of the Artificial Neural Networks, 1997

Self-Organization of Cortical Receptive Fields and Columnar Structures in a Hebb Trained Neural Network.
Proceedings of the From Natural to Artificial Neural Computation, 1995

Selbstorganisation funktioneller Strukturen im primären visuellen Kortex: ein neuronales Netzwerk als Modell aktivitätsabhängiger Reifungsprozesse.
PhD thesis, 1994

Emergence of orientation selective simple cells simulated in deterministic and stochastic neural networks.
Biological Cybernetics, 1993