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Inke R. König
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2020 – today
- 2024
- [j15]Björn-Hergen Laabs, Ana Westenberger, Inke R. König:
Identification of representative trees in random forests based on a new tree-based distance measure. Adv. Data Anal. Classif. 18(2): 363-380 (2024) - [c1]Björn-Hergen Laabs, Lea L. Kronziel, Inke R. König, Silke Szymczak:
Construction of Artificial Most Representative Trees by Minimizing Tree-Based Distance Measures. xAI (2) 2024: 290-310 - 2023
- [i2]Césaire J. K. Fouodo, Lea L. Kronziel, Inke R. König, Silke Szymczak:
Effect of hyperparameters on variable selection in random forests. CoRR abs/2309.06943 (2023) - 2021
- [j14]Damian Gola, Inke R. König:
Empowering individual trait prediction using interactions for precision medicine. BMC Bioinform. 22(1): 74 (2021)
2010 – 2019
- 2019
- [j13]Fentaw Abegaz, Kridsadakorn Chaichoompu, Emmanuelle Génin, David W. Fardo, Inke R. König, Jestinah M. Mahachie John, Kristel Van Steen:
Principals about principal components in statistical genetics. Briefings Bioinform. 20(6): 2200-2216 (2019) - [i1]Damian Gola, Inke R. König:
Empowering individual trait prediction using interactions. CoRR abs/1901.08814 (2019) - 2018
- [j12]Paola G. Ferrario, Inke R. König:
Transferring entropy to the realm of GxG interactions. Briefings Bioinform. 19(1): 136-147 (2018) - [j11]Stefano Nembrini, Inke R. König, Marvin N. Wright:
The revival of the Gini importance? Bioinform. 34(21): 3711-3718 (2018) - [j10]Césaire J. K. Fouodo, Inke R. König, Claus Weihs, Andreas Ziegler, Marvin N. Wright:
Support Vector Machines for Survival Analysis with R. R J. 10(1): 412 (2018) - 2016
- [j9]Damian Gola, Jestinah M. Mahachie John, Kristel Van Steen, Inke R. König:
A roadmap to multifactor dimensionality reduction methods. Briefings Bioinform. 17(2): 293-308 (2016) - [j8]Marvin N. Wright, Andreas Ziegler, Inke R. König:
Do little interactions get lost in dark random forests? BMC Bioinform. 17: 145 (2016) - 2014
- [j7]Andreas Ziegler, Inke R. König:
Mining data with random forests: current options for real-world applications. WIREs Data Mining Knowl. Discov. 4(1): 55-63 (2014) - 2012
- [j6]Anne-Laure Boulesteix, Silke Janitza, Jochen Kruppa, Inke R. König:
Overview of random forest methodology and practical guidance with emphasis on computational biology and bioinformatics. WIREs Data Mining Knowl. Discov. 2(6): 493-507 (2012) - 2011
- [j5]Inke R. König:
Validation in Genetic Association Studies. Briefings Bioinform. 12(3): 253-258 (2011) - [j4]Daniel F. Schwarz, Inke R. König, Andreas Ziegler:
On safari to Random Jungle: a fast implementation of Random Forests for high-dimensional data. Bioinform. 27(3): 439 (2011) - 2010
- [j3]Daniel F. Schwarz, Inke R. König, Andreas Ziegler:
On safari to Random Jungle: a fast implementation of Random Forests for high-dimensional data. Bioinform. 26(14): 1752-1758 (2010) - [j2]Johann Hagenah, Inke R. König, Jürgen Sperner, Lucas Wessel, Günter Seidel, Kelly Condefer, Rachel Saunders-Pullman, Christine Klein, Norbert Brüggemann:
Life-long increase of substantia nigra hyperechogenicity in transcranial sonography. NeuroImage 51(1): 28-32 (2010)
2000 – 2009
- 2008
- [j1]Inke R. König, James D. Malley, Sinisa Pajevic, Christian Weimar, Hans-Christoph Diener, Andreas Ziegler:
Patient-centered yes/no prognosis using learning machines. Int. J. Data Min. Bioinform. 2(4): 289-341 (2008)
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last updated on 2024-10-23 21:29 CEST by the dblp team
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