Mathäus Dejori

14 papers A* 2B 1Misc 2Journal 5Unranked 3
YearRankTypeTitle / Venue / Authors
2011 — conf
A Meta-Data Approach to Querying Multiple Biomedical Ontologies.
ICBO
Ravi Palla, Dan Tecuci, Vinay D. Shet, Mathäus Dejori
2010 J jnl
Improving de novo sequence assembly using machine learning and comparative genomics for overlap correction.
BMC Bioinform.
Lance E. Palmer, Mathäus Dejori, Randall A. Bolanos, Daniel P. Fasulo
2009 A* conf
Hierarchical Bayesian Models for Collaborative Tagging Systems.
ICDM
Markus Bundschus, Shipeng Yu, Volker Tresp, Achim Rettinger, Mathäus Dejori, Hans-Peter Kriegel
2009 J jnl
Using a Local Discovery Ant Algorithm for Bayesian Network Structure Learning.
IEEE Trans. Evol. Comput.
Pedro C. Pinto, Andreas Nägele, Mathäus Dejori, Thomas A. Runkler, João Miguel da Costa Sousa
2008 A* conf
Anticipating annotations and emerging trends in biomedical literature.
KDD
Fabian Mörchen, Mathäus Dejori, Dmitriy Fradkin, Julien Etienne, Bernd Wachmann, Markus Bundschus
2008 Misc conf
Emerging Trend Prediction in Biomedical Literature.
AMIA
Fabian Mörchen, Dmitriy Fradkin, Mathäus Dejori, Bernd Wachmann
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 B conf
Learning of Bayesian networks by a local discovery ant colony algorithm.
IEEE Congress on Evolutionary Computation
Pedro C. Pinto, Andreas Nägele, Mathäus Dejori, Thomas A. Runkler, João Miguel da Costa Sousa
2007 — conf
Bayesian Substructure Learning - Approximate Learning of Very Large Network Structures.
ECML
Andreas Nägele, Mathäus Dejori, Martin Stetter
2007 — conf
Structure Learning with Nonparametric Decomposable Models.
ICANN (1)
Anton Schwaighofer, Mathäus Dejori, Volker Tresp, Martin Stetter
2004 J jnl
Identifying Interventional and Pathogenic Mechanisms by Generative Inverse Modeling of Gene Expression Profiles.
J. Comput. Biol.
Mathäus Dejori, Martin Stetter
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