Jörg Rahnenführer
Orcid: 0000-0002-8947-440X
According to our database1,
Jörg Rahnenführer
authored at least 52 papers
between 2002 and 2023.
Collaborative distances:
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Bibliography
2023
BMC Bioinform., December, 2023
2022
Correction to: Combining heterogeneous subgroups with graph-structured variable selection priors for Cox regression.
BMC Bioinform., 2022
Benchmark of filter methods for feature selection in high-dimensional gene expression survival data.
Briefings Bioinform., 2022
Proceedings of the Machine Learning under Resource Constraints - Volume 3: Applications, 2022
Proceedings of the Machine Learning under Resource Constraints - Volume 3: Applications, 2022
2021
SN Comput. Sci., 2021
BMC Medical Informatics Decis. Mak., 2021
Combining heterogeneous subgroups with graph-structured variable selection priors for Cox regression.
BMC Bioinform., 2021
Employing an Adjusted Stability Measure for Multi-criteria Model Fitting on Data Sets with Similar Features.
Proceedings of the Machine Learning, Optimization, and Data Science, 2021
RollingLDA: An Update Algorithm of Latent Dirichlet Allocation to Construct Consistent Time Series from Textual Data.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
2020
Benchmark for filter methods for feature selection in high-dimensional classification data.
Comput. Stat. Data Anal., 2020
CoRR, 2020
Improving Reliability of Latent Dirichlet Allocation by Assessing Its Stability Using Clustering Techniques on Replicated Runs.
CoRR, 2020
Cost-Constrained feature selection in binary classification: adaptations for greedy forward selection and genetic algorithms.
BMC Bioinform., 2020
Proceedings of the ECML PKDD 2020 Workshops, 2020
Improving Latent Dirichlet Allocation: On Reliability of the Novel Method LDAPrototype.
Proceedings of the Natural Language Processing and Information Systems, 2020
Adjusted Measures for Feature Selection Stability for Data Sets with Similar Features.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
2019
High Dimensional Restrictive Federated Model Selection with Multi-objective Bayesian Optimization over Shifted Distributions.
Proceedings of the Intelligent Systems and Applications, 2019
2017
A Multicriteria Approach to Find Predictive and Sparse Models with Stable Feature Selection for High-Dimensional Data.
Comput. Math. Methods Medicine, 2017
DISMS2: A flexible algorithm for direct proteome- wide distance calculation of LC-MS/MS runs.
BMC Bioinform., 2017
Variable selection for disease progression models: methods for oncogenetic trees and application to cancer and HIV.
BMC Bioinform., 2017
RAMBO: Resource-Aware Model-Based Optimization with Scheduling for Heterogeneous Runtimes and a Comparison with Asynchronous Model-Based Optimization.
Proceedings of the Learning and Intelligent Optimization - 11th International Conference, 2017
2016
Machine Learning meets Data-Driven Journalism: Boosting International Understanding and Transparency in News Coverage.
CoRR, 2016
Bioinform., 2016
Proceedings of the Learning and Intelligent Optimization - 10th International Conference, 2016
2015
PeerJ Prepr., 2015
2011
Comput. Stat., 2011
2010
Nucleic Acids Res., 2010
Comparison of scores for bimodality of gene expression distributions and genome-wide evaluation of the prognostic relevance of high-scoring genes.
BMC Bioinform., 2010
Going from where to why - interpretable prediction of protein subcellular localization.
Bioinform., 2010
2009
Bioinform., 2009
2008
Rtreemix: an R package for estimating evolutionary pathways and genetic progression scores.
Bioinform., 2008
Proceedings of the Ontologies and Text Mining for Life Sciences: Current Status and Future Perspectives, 24.03., 2008
2007
2006
BMC Bioinform., 2006
Improved scoring of functional groups from gene expression data by decorrelating GO graph structure.
Bioinform., 2006
2005
J. Comput. Biol., 2005
BMC Bioinform., 2005
Estimating cancer survival and clinical outcome based on genetic tumor progression scores.
Bioinform., 2005
Computational methods for the design of effective therapies against drug resistant HIV strains.
Bioinform., 2005
Mtreemix: a software package for learning and using mixture models of mutagenetic trees.
Bioinform., 2005
2004
Hybrid clustering for microarray image analysis combining intensity and shape features.
BMC Bioinform., 2004
2002
Comput. Stat., 2002
Unsupervised technique for robust target separation and analysis of DNA microarray spots through adaptive pixel clustering.
Bioinform., 2002