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Mathäus Dejori Coauthor index pubzone.org

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11Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLLance E. Palmer, Mathäus Dejori, Randall A. Bolanos, Daniel P. Fasulo: Improving de novo sequence assembly using machine learning and comparative genomics for overlap correction. BMC Bioinformatics 11: 33 (2010)
2009
10Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMarkus Bundschus, Shipeng Yu, Volker Tresp, Achim Rettinger, Mathäus Dejori, Hans-Peter Kriegel: Hierarchical Bayesian Models for Collaborative Tagging Systems. ICDM 2009: 728-733
9Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPedro C. Pinto, Andreas Nägele, Mathäus Dejori, Thomas A. Runkler, João Miguel da Costa Sousa: Using a Local Discovery Ant Algorithm for Bayesian Network Structure Learning. IEEE Trans. Evolutionary Computation 13(4): 767-779 (2009)
2008
8Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPedro C. Pinto, Andreas Nägele, Mathäus Dejori, Thomas A. Runkler, João Miguel da Costa Sousa: Learning of Bayesian networks by a local discovery ant colony algorithm. IEEE Congress on Evolutionary Computation 2008: 2741-2748
7Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLFabian Mörchen, Mathäus Dejori, Dmitriy Fradkin, Julien Etienne, Bernd Wachmann, Markus Bundschus: Anticipating annotations and emerging trends in biomedical literature. KDD 2008: 954-962
6Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMarkus 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)
2007
5Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAndreas Nägele, Mathäus Dejori, Martin Stetter: Bayesian Substructure Learning - Approximate Learning of Very Large Network Structures. ECML 2007: 238-249
4Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAnton Schwaighofer, Mathäus Dejori, Volker Tresp, Martin Stetter: Structure Learning with Nonparametric Decomposable Models. ICANN (1) 2007: 119-128
2004
3Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMathäus 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)
2003
2no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMathäus Dejori, Martin Stetter: Bayesian Inference of Genetic Networks from Gene-Expression-Data: Convergence and Reliability. IC-AI 2003: 323-327
1Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMartin Stetter, Gustavo Deco, Mathäus Dejori: Large-Scale Computational Modeling of Genetic Regulatory Networks. Artif. Intell. Rev. 20(1-2): 75-93 (2003)

Coauthor Index

1Randall A. Bolanos [11]
2Markus Bundschus [6] [7] [10]
3Gustavo Deco [1]
4Julien Etienne [7]
5Daniel P. Fasulo [11]
6Dmitriy Fradkin [7]
7Hans-Peter Kriegel [6] [10]
8Fabian Mörchen (Fabian Moerchen) [7]
9Andreas Nägele [5] [8] [9]
10Lance E. Palmer [11]
11Pedro C. Pinto [8] [9]
12Achim Rettinger [10]
13Thomas A. Runkler [8] [9]
14Anton Schwaighofer [4]
15João Miguel da Costa Sousa [8] [9]
16Martin Stetter [1] [2] [3] [4] [5] [6]
17Volker Tresp [4] [6] [10]
18Bernd Wachmann [7]
19Shipeng Yu [10]

Colors in the list of coauthors

Last update Tue May 29 01:28:40 2012 CET by the DBLP TeamThis material is Open Data Data released under the ODC-BY 1.0 license — See also our legal information page