Martin Stetter

40 papers B 2C 2Misc 2Journal 22Unranked 9

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	Learning Intuitive Physics and One-Shot Imitation Using State-Action-Prediction Self-Organizing Maps. Comput. Intell. Neurosci. Martin Stetter, Elmar Wolfgang Lang
2020	J	`jnl`	Learning intuitive physics and one-shot imitation using state-action-prediction self-organizing maps. CoRR Martin Stetter, Elmar Wolfgang Lang
2014	J	`jnl`	Physarum Learner: A bio-inspired way of learning structure from data. Expert Syst. Appl. Torsten Schön, Martin Stetter, Ana Maria Tomé, Carlos García Puntonet, Elmar Wolfgang Lang
2013	—	`conf`	A New Physarum Learner for Network Structure Learning from Biomedical Data. BIOSIGNALS Torsten Schön, Martin Stetter, Ana Maria Tomé, Elmar Wolfgang Lang
2012	—	`conf`	Structure Learning for Bayesian Networks Using the Physarum Solver. ICMLA (1) Torsten Schön, Martin Stetter, Elmar Wolfgang Lang
2008	J	`jnl`	Extraction of semantic biomedical relations from text using conditional random fields. BMC Bioinform. Markus Bundschus, Mathäus Dejori, Martin Stetter, Volker Tresp, Hans-Peter Kriegel
2008	J	`jnl`	Knowledge-based gene expression classification via matrix factorization. Bioinform. Reinhard Schachtner, Dominik Lutter, P. Knollmüller, Ana Maria Tomé, Fabian J. Theis, Gerd Schmitz, Martin Stetter, Pedro Gómez-Vilda, Elmar Wolfgang Lang
2008	J	`jnl`	Modeling semantics of inconsistent qualitative knowledge for quantitative Bayesian network inference. Neural Networks Rui Chang, Wilfried Brauer, Martin Stetter
2008	J	`jnl`	Quantitative Inference by Qualitative Semantic Knowledge Mining with Bayesian Model Averaging. IEEE Trans. Knowl. Data Eng. Rui Chang, Martin Stetter, Wilfried Brauer
2007	—	`conf`	A Knowledge-based Dynamic Bayesian Framework Towards Molecular Network Modeling and Quantitative Prediction. BIOCOMP Rui Chang, Martin Stetter
2007	—	`conf`	Bayesian Substructure Learning - Approximate Learning of Very Large Network Structures. ECML Andreas Nägele, Mathäus Dejori, Martin Stetter
2007	B	`conf`	Quantitative Bayesian Inference by Qualitative Knowledge Modeling. IJCNN Rui Chang, Martin Stetter
2007	—	`conf`	Structure Learning with Nonparametric Decomposable Models. ICANN (1) Anton Schwaighofer, Mathäus Dejori, Volker Tresp, Martin Stetter
2006	J	`jnl`	Learning to Attend: Modeling the Shaping of Selectivity in Infero-temporal Cortex in a Categorization Task. Biol. Cybern. Miruna Szabo, Martin Stetter, Gustavo Deco, Stefano Fusi, Paolo Del Giudice, Maurizio Mattia
2006	—	`conf`	Logical nano-computation in enzymatic reaction networks. BIONETICS Martin Stetter, Bernd Schürmann, Michael Hofstetter
2005	J	`jnl`	A neuronal model for the shaping of feature selectivity in IT by visual categorization. Neurocomputing Miruna Szabo, Rita Almeida, Gustavo Deco, Martin Stetter
2005	J	`jnl`	Classifying brain states and determining the discriminating activation patterns: Support Vector Machine on functional MRI data. NeuroImage Janaina Mourão Miranda, Arun L. W. Bokde, Christine Born, Harald Hampel, Martin Stetter
2004	—	`ch.`	Computational Neuroscience for Cognitive Brain Functions. Artificial Intelligence Methods And Tools For Systems Biology Marco Loh, Miruna Szabo, Rita Almeida, Martin Stetter, Gustavo Deco
2004	J	`jnl`	Identifying Interventional and Pathogenic Mechanisms by Generative Inverse Modeling of Gene Expression Profiles. J. Comput. Biol. Mathäus Dejori, Martin Stetter
2004	J	`jnl`	Modeling texture-constancy of cortical grating cells. Neurocomputing Martin Stetter, Elmar Wolfgang Lang
2004	—	`ch.`	Systems Level Modeling of Gene Regulatory Networks. Artificial Intelligence Methods And Tools For Systems Biology Martin Stetter, Bernd Schürmann, Mathäus Dejori
2003	Misc	`conf`	Bayesian Inference of Genetic Networks from Gene-Expression-Data: Convergence and Reliability. IC-AI Mathäus Dejori, Martin Stetter
2003	J	`jnl`	Large-Scale Computational Modeling of Genetic Regulatory Networks. Artif. Intell. Rev. Martin Stetter, Gustavo Deco, Mathäus Dejori
2003	J	`jnl`	Systems-Level Neuronal Modeling of Visual Attentional Mechanisms. Artif. Intell. Rev. Silvia Corchs, Martin Stetter, Gustavo Deco
2002	J	`jnl`	Modeling the Link between Functional Imaging and Neuronal Activity: Synaptic Metabolic Demand and Spike Rates. NeuroImage Rita Almeida, Martin Stetter
2001	J	`jnl`	Contextual effects by short range connections in a mean-field model of V1. Neurocomputing Hauke Bartsch, Martin Stetter, Klaus Obermayer
2001	—	`conf`	On the Influence of Threshold Variability in a Mean-Field Model of the Visual Cortex. Emergent Neural Computational Architectures Based on Neuroscience Hauke Bartsch, Martin Stetter, Klaus Obermayer
2000	J	`jnl`	A mean-field model for orientation tuning, contrast saturation, and contextual effects in the primary visual cortex. Biol. Cybern. Martin Stetter, Hauke Bartsch, Klaus Obermayer
2000	J	`jnl`	An Analysis of Orientation and Ocular Dominance Patterns in the Visual Cortex of Cats and Ferrets. Neural Comput. T. Müller, Martin Stetter, Mark Hübener, Frank Sengpiel, Tobias Bonhoeffer, I. Gödecke, Barbara Chapman, Siegrid Löwel, Klaus Obermayer
2000	—	`conf`	Blind Signal Separation from Optical Imaging Data. DAGM-Symposium Ingo Schießl, Martin Stetter, John E. W. Mayhew, Niall McLoughlin, Jennifer S. Lund, Klaus Obermayer
2000	J	`jnl`	Blind signal separation from optical imaging recordings with extended spatial decorrelation. IEEE Trans. Biomed. Eng. Ingo Schießl, Martin Stetter, John E. W. Mayhew, Niall McLoughlin, Jennifer S. Lund, Klaus Obermayer
2000	J	`jnl`	The influence of threshold variability on the response of visual cortical neurons. Neurocomputing Hauke Bartsch, Martin Stetter, Klaus Obermayer
1999	—	`conf`	Application of Blind Separation of Sources to Optical Recording of Brain Activity. NIPS Holger Schoner, Martin Stetter, Ingo Schießl, John E. W. Mayhew, Jennifer S. Lund, Niall McLoughlin, Klaus Obermayer
1998	J	`jnl`	A neural network model for the emergence of grating cells. Biol. Cybern. K. Brunner, M. Kussinger, Martin Stetter, Elmar Wolfgang Lang
1998	B	`conf`	Modelling Contrast Adaptation and Contextual Effects in Primary Visual Cortex. ICONIP Martin Stetter, Péter Adorján, Hauke Bartsch, Klaus Obermayer
1997	C	`conf`	A Model for Orientation Tuning and Contextual Effects of Orientation Selective Receptive Fields. ICANN Hauke Bartsch, Martin Stetter, Klaus Obermayer
1997	C	`conf`	Synapse Clustering Can Drive Simultaneous ON-OFF and Ocular-Dominance Segregation in a Model of Area 17. ICANN Martin Stetter, Elmar Wolfgang Lang, Klaus Obermayer
1995	Misc	`conf`	Self-Organization of Cortical Receptive Fields and Columnar Structures in a Hebb Trained Neural Network. IWANN Martin Stetter, M. Kussinger, Armin Schels, E. Seeger, Elmar Wolfgang Lang
1994	—	`—`	Selbstorganisation funktioneller Strukturen im primären visuellen Kortex: ein neuronales Netzwerk als Modell aktivitätsabhängiger Reifungsprozesse. Martin Stetter
1993	J	`jnl`	Emergence of orientation selective simple cells simulated in deterministic and stochastic neural networks. Biol. Cybern. Martin Stetter, Elmar Wolfgang Lang, A. Müller