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ORCIDJörg Rahnenführer
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2020 – today
- 2024
[j36]Jonas Rieger, Carsten Jentsch, Jörg Rahnenführer:
LDAPrototype: a model selection algorithm to improve reliability of latent Dirichlet allocation. PeerJ Comput. Sci. 10: e2279 (2024)- 2023
- [j35]Leonie Schürmeyer
, Kirsten Schorning, Jörg Rahnenführer:
Designs for the simultaneous inference of concentration-response curves. BMC Bioinform. 24(1): 393 (2023) - [c11]Jonas Rieger, Nico Hornig, Jonathan Flossdorf, Henrik Müller, Stephan Mündges, Carsten Jentsch, Jörg Rahnenführer, Christina Elmer:
Debunking Disinformation with GADMO: A Topic Modeling Analysis of a Comprehensive Corpus of German-language Fact-Checks. LDK 2023: 520-531 - 2022
- [j34]Andrea Bommert, Thomas Welchowski, Matthias Schmid, Jörg Rahnenführer:
Benchmark of filter methods for feature selection in high-dimensional gene expression survival data. Briefings Bioinform. 23(1) (2022) - [j33]Katrin Madjar, Manuela Zucknick, Katja Ickstadt, Jörg Rahnenführer:
Correction to: Combining heterogeneous subgroups with graph-structured variable selection priors for Cox regression. BMC Bioinform. 23(1): 32 (2022) - [p2]Katharina Morik, Jörg Rahnenführer, Christian Wietfeld:
Editorial. Mach. Learn. under Resour. Constraints Vol. 3 (3) 2022: 1-2 - [p1]Jörg Rahnenführer, Michel Lang, Jakob Richter:
Survival Prediction and Model Selection. Mach. Learn. under Resour. Constraints Vol. 3 (3) 2022: 71-84 - [e1]Katharina Morik, Jörg Rahnenführer, Christian Wietfeld:
Machine Learning under Resource Constraints - Volume 3: Applications. De Gruyter STEM, De Gruyter 2022, ISBN 978-3-11-078597-5 [contents] - 2021
- [j32]Katrin Madjar, Manuela Zucknick, Katja Ickstadt, Jörg Rahnenführer:
Combining heterogeneous subgroups with graph-structured variable selection priors for Cox regression. BMC Bioinform. 22(1): 586 (2021) - [j31]Katrin Madjar, Jörg Rahnenführer:
Weighted Cox regression for the prediction of heterogeneous patient subgroups. BMC Medical Informatics Decis. Mak. 21(1): 342 (2021) - [j30]Junjie Shi, Jiang Bian, Jakob Richter, Kuan-Hsun Chen, Jörg Rahnenführer, Haoyi Xiong, Jian-Jia Chen:
MODES: model-based optimization on distributed embedded systems. Mach. Learn. 110(6): 1527-1547 (2021) - [j29]Rudolf Jagdhuber, Jörg Rahnenführer:
Implications on Feature Detection When Using the Benefit-Cost Ratio. SN Comput. Sci. 2(4): 316 (2021) - [c10]Jonas Rieger, Carsten Jentsch, Jörg Rahnenführer:
RollingLDA: An Update Algorithm of Latent Dirichlet Allocation to Construct Consistent Time Series from Textual Data. EMNLP (Findings) 2021: 2337-2347 - [c9]Andrea Bommert, Jörg Rahnenführer, Michel Lang:
Employing an Adjusted Stability Measure for Multi-criteria Model Fitting on Data Sets with Similar Features. LOD 2021: 81-92 - [i10]Andrea Bommert, Jörg Rahnenführer, Michel Lang:
Employing an Adjusted Stability Measure for Multi-Criteria Model Fitting on Data Sets with Similar Features. CoRR abs/2106.08105 (2021) - 2020
- [j28]Rudolf Jagdhuber, Michel Lang, Arnulf Stenzl, Jochen Neuhaus, Jörg Rahnenführer:
Cost-Constrained feature selection in binary classification: adaptations for greedy forward selection and genetic algorithms. BMC Bioinform. 21(1): 26 (2020) - [j27]Andrea Bommert, Xudong Sun, Bernd Bischl, Jörg Rahnenführer, Michel Lang:
Benchmark for filter methods for feature selection in high-dimensional classification data. Comput. Stat. Data Anal. 143 (2020) - [c8]Jakob Richter, Junjie Shi, Jian-Jia Chen, Jörg Rahnenführer, Michel Lang:
Model-based optimization with concept drifts. GECCO 2020: 877-885 - [c7]Andrea Bommert, Jörg Rahnenführer:
Adjusted Measures for Feature Selection Stability for Data Sets with Similar Features. LOD (1) 2020: 203-214 - [c6]Jonas Rieger, Jörg Rahnenführer, Carsten Jentsch:
Improving Latent Dirichlet Allocation: On Reliability of the Novel Method LDAPrototype. NLDB 2020: 118-125 - [c5]Jonas Rieger, Carsten Jentsch, Jörg Rahnenführer:
Assessing the Uncertainty of the Text Generating Process Using Topic Models. PKDD/ECML Workshops 2020: 385-396 - [i9]Jonas Rieger, Lars Koppers, Carsten Jentsch, Jörg Rahnenführer:
Improving Reliability of Latent Dirichlet Allocation by Assessing Its Stability Using Clustering Techniques on Replicated Runs. CoRR abs/2003.04980 (2020) - [i8]Rudolf Jagdhuber, Jörg Rahnenführer:
Implications on Feature Detection when using the Benefit-Cost Ratio. CoRR abs/2008.05163 (2020) - [i7]Rudolf Jagdhuber, Michel Lang, Jörg Rahnenführer:
Feature Selection Methods for Cost-Constrained Classification in Random Forests. CoRR abs/2008.06298 (2020) - [i6]Andrea Bommert, Jörg Rahnenführer:
Adjusted Measures for Feature Selection Stability for Data Sets with Similar Features. CoRR abs/2009.12075 (2020)
2010 – 2019
- 2019
- [j26]Jakob Richter, Katrin Madjar, Jörg Rahnenführer:
Model-based optimization of subgroup weights for survival analysis. Bioinform. 35(14): i484-i491 (2019) - [c4]Xudong Sun, Andrea Bommert, Florian Pfisterer, Jörg Rahnenführer, Michel Lang, Bernd Bischl:
High Dimensional Restrictive Federated Model Selection with Multi-objective Bayesian Optimization over Shifted Distributions. IntelliSys (1) 2019: 629-647 - [i5]Xudong Sun, Andrea Bommert, Florian Pfisterer, Jörg Rahnenführer, Michel Lang, Bernd Bischl:
High Dimensional Restrictive Federated Model Selection with multi-objective Bayesian Optimization over shifted distributions. CoRR abs/1902.08999 (2019) - 2017
- [j25]Vera Rieder, Bernhard Blank-Landeshammer, Marleen Stuhr, Tilman Schell, Karsten Biß, Laxmikanth Kollipara, Achim Meyer, Markus Pfenninger, Hildegard Westphal, Albert Sickmann, Jörg Rahnenführer:
DISMS2: A flexible algorithm for direct proteome- wide distance calculation of LC-MS/MS runs. BMC Bioinform. 18(1): 148:1-148:12 (2017) - [j24]Katrin Hainke, Sebastian Szugat, Roland Fried, Jörg Rahnenführer:
Variable selection for disease progression models: methods for oncogenetic trees and application to cancer and HIV. BMC Bioinform. 18(1): 358 (2017) - [j23]Andrea Bommert, Jörg Rahnenführer, Michel Lang:
A Multicriteria Approach to Find Predictive and Sparse Models with Stable Feature Selection for High-Dimensional Data. Comput. Math. Methods Medicine 2017: 7907163:1-7907163:18 (2017) - [c3]Helena Kotthaus, Jakob Richter, Andreas Lang, Janek Thomas, Bernd Bischl, Peter Marwedel, Jörg Rahnenführer, Michel Lang:
RAMBO: Resource-Aware Model-Based Optimization with Scheduling for Heterogeneous Runtimes and a Comparison with Asynchronous Model-Based Optimization. LION 2017: 180-195 - 2016
- [j22]Simona Constantinescu, Ewa Szczurek, Pejman Mohammadi, Jörg Rahnenführer, Niko Beerenwinkel:
TiMEx: a waiting time model for mutually exclusive cancer alterations. Bioinform. 32(7): 968-975 (2016) - [c2]Jakob Richter, Helena Kotthaus, Bernd Bischl, Peter Marwedel, Jörg Rahnenführer, Michel Lang:
Faster Model-Based Optimization Through Resource-Aware Scheduling Strategies. LION 2016: 267-273 - [i4]Elena Erdmann, Karin Boczek, Lars Koppers, Gerret von Nordheim, Christian Pölitz, Alejandro Molina, Katharina Morik, Henrik Müller, Jörg Rahnenführer, Kristian Kersting:
Machine Learning meets Data-Driven Journalism: Boosting International Understanding and Transparency in News Coverage. CoRR abs/1606.05110 (2016) - 2015
- [i3]Martin Eisenacher, Jörg Rahnenführer, Axel Mosig, Sven Rahmann:
Poster abstracts of GCB 2015. PeerJ Prepr. 3: e1350 (2015) - [i2]Axel Mosig, Jörg Rahnenführer, Martin Eisenacher, Sven Rahmann:
Invited presentations, junior research groups and research highlights at GCB 2015. PeerJ Prepr. 3: e1352 (2015) - 2011
- [j21]Kai Kammers, Michel Lang, Jan G. Hengstler, Marcus Schmidt, Jörg Rahnenführer:
Survival models with preclustered gene groups as covariates. BMC Bioinform. 12: 478 (2011) - [j20]Marco Grzegorczyk, Dirk Husmeier, Jörg Rahnenführer:
Modelling non-stationary dynamic gene regulatory processes with the BGM model. Comput. Stat. 26(2): 199-218 (2011) - 2010
- [j19]Marco Grzegorczyk, Dirk Husmeier, Jörg Rahnenführer:
Modelling Nonstationary Gene Regulatory Processes. Adv. Bioinformatics 2010: 749848:1-749848:17 (2010) - [j18]Sebastian Briesemeister, Jörg Rahnenführer, Oliver Kohlbacher:
Going from where to why - interpretable prediction of protein subcellular localization. Bioinform. 26(9): 1232-1238 (2010) - [j17]Birte Hellwig, Jan G. Hengstler, Marcus Schmidt, Mathias C. Gehrmann, Wiebke Schormann, Jörg Rahnenführer:
Comparison of scores for bimodality of gene expression distributions and genome-wide evaluation of the prognostic relevance of high-scoring genes. BMC Bioinform. 11: 276 (2010) - [j16]Sebastian Briesemeister, Jörg Rahnenführer, Oliver Kohlbacher:
YLoc - an interpretable web server for predicting subcellular localization. Nucleic Acids Res. 38(Web-Server-Issue): 497-502 (2010)
2000 – 2009
- 2009
- [j15]Katharina Podwojski, Arno Fritsch, Daniel C. Chamrad, Wolfgang Paul, Barbara Sitek, Kai Stühler, Petra Mutzel, Christian Stephan, Helmut E. Meyer, Wolfgang Urfer, Katja Ickstadt, Jörg Rahnenführer:
Retention time alignment algorithms for LC/MS data must consider non-linear shifts. Bioinform. 25(6): 758-764 (2009) - 2008
- [j14]Jasmina Bogojeska, Adrian Alexa, André Altmann, Thomas Lengauer, Jörg Rahnenführer:
Rtreemix: an R package for estimating evolutionary pathways and genetic progression scores. Bioinform. 24(20): 2391-2392 (2008) - [j13]Jasmina Bogojeska, Thomas Lengauer, Jörg Rahnenführer:
Stability analysis of mixtures of mutagenetic trees. BMC Bioinform. 9 (2008) - [i1]Andreas Schlicker, Fidel Ramírez, Jörg Rahnenführer, Carola Huthmacher, Alejandro Pironti, Francisco S. Domingues, Thomas Lengauer, Mario Albrecht:
Applications of semantic similarity measures. Ontologies and Text Mining for Life Sciences 2008 - 2007
- [j12]Francisco S. Domingues, Jörg Rahnenführer, Thomas Lengauer:
Conformational analysis of alternative protein structures. Bioinform. 23(23): 3131-3138 (2007) - 2006
- [j11]Adrian Alexa, Jörg Rahnenführer, Thomas Lengauer:
Improved scoring of functional groups from gene expression data by decorrelating GO graph structure. Bioinform. 22(13): 1600-1607 (2006) - [j10]Andreas Schlicker, Francisco S. Domingues, Jörg Rahnenführer, Thomas Lengauer:
A new measure for functional similarity of gene products based on Gene Ontology. BMC Bioinform. 7: 302 (2006) - 2005
- [j9]Niko Beerenwinkel, Jörg Rahnenführer, Rolf Kaiser, Daniel Hoffmann, Joachim Selbig, Thomas Lengauer:
Mtreemix: a software package for learning and using mixture models of mutagenetic trees. Bioinform. 21(9): 2106-2107 (2005) - [j8]Jörg Rahnenführer, Niko Beerenwinkel, Wolfgang A. Schulz, Christian Hartmann, Andreas von Deimling, Bernd Wullich, Thomas Lengauer:
Estimating cancer survival and clinical outcome based on genetic tumor progression scores. Bioinform. 21(10): 2438-2446 (2005) - [j7]Niko Beerenwinkel, Tobias Sing, Thomas Lengauer, Jörg Rahnenführer, Kirsten Roomp, Igor Savenkov, Roman Fischer, Daniel Hoffmann, Joachim Selbig, Klaus Korn, Hauke Walter, Thomas Berg, Patrick Braun, Gerd Fätkenheuer, Mark Oette, Jürgen K. Rockstroh, Bernd Kupfer, Rolf Kaiser, Martin Däumer:
Computational methods for the design of effective therapies against drug resistant HIV strains. Bioinform. 21(21): 3943-3950 (2005) - [j6]Andreas Hahn, Jörg Rahnenführer, Priti Talwar, Thomas Lengauer:
Confirmation of human protein interaction data by human expression data. BMC Bioinform. 6: 112 (2005) - [j5]Niko Beerenwinkel, Jörg Rahnenführer, Martin Däumer, Daniel Hoffmann, Rolf Kaiser, Joachim Selbig, Thomas Lengauer:
Learning Multiple Evolutionary Pathways from Cross-Sectional Data. J. Comput. Biol. 12(6): 584-598 (2005) - 2004
- [j4]Ingolf Sommer, Jörg Rahnenführer, Francisco S. Domingues, Ulrik de Lichtenberg, Thomas Lengauer:
Predicting protein structure classes from function predictions. Bioinform. 20(5): 770-776 (2004) - [j3]Jörg Rahnenführer, Daniel Bozinov:
Hybrid clustering for microarray image analysis combining intensity and shape features. BMC Bioinform. 5: 47 (2004) - [c1]Niko Beerenwinkel, Jörg Rahnenführer, Martin Däumer, Daniel Hoffmann, Rolf Kaiser, Joachim Selbig, Thomas Lengauer:
Learning multiple evolutionary pathways from cross-sectional data. RECOMB 2004: 36-44 - 2002
- [j2]Daniel Bozinov, Jörg Rahnenführer:
Unsupervised technique for robust target separation and analysis of DNA microarray spots through adaptive pixel clustering. Bioinform. 18(5): 747-756 (2002) - [j1]Jörg Rahnenführer:
Multivariate permutation tests for the k-sample problem with clustered data. Comput. Stat. 17(2): 165-184 (2002)
Coauthor Index
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