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Mona Riemenschneider
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2010 – 2019
- 2018
- [j7]Hannah F. Löchel, Mona Riemenschneider, Dmitrij Frishman, Dominik Heider:
SCOTCH: subtype A coreceptor tropism classification in HIV-1. Bioinform. 34(15): 2575-2580 (2018) - 2017
- [j6]Mona Riemenschneider, Alexander Herbst, Ari Rasch, Sergei Gorlatch, Dominik Heider:
eccCL: parallelized GPU implementation of Ensemble Classifier Chains. BMC Bioinform. 18(1): 371:1-371:4 (2017) - 2016
- [j5]Mona Riemenschneider, Robin Senge, Ursula Neumann, Eyke Hüllermeier, Dominik Heider:
Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification. BioData Min. 9: 10 (2016) - [j4]Ursula Neumann, Mona Riemenschneider, Jan-Peter Sowa, Theodor Baars, Julia Kälsch, Ali Canbay, Dominik Heider:
Compensation of feature selection biases accompanied with improved predictive performance for binary classification by using a novel ensemble feature selection approach. BioData Min. 9: 36:1-36:14 (2016) - [j3]Mona Riemenschneider, Thomas Hummel, Dominik Heider:
SHIVA - a web application for drug resistance and tropism testing in HIV. BMC Bioinform. 17: 314 (2016) - 2014
- [j2]Dominik Grotegerd, Ronny Redlich, Jorge R. C. Almeida, Mona Riemenschneider, Harald Kugel, Volker Arolt, Udo Dannlowski:
MANIA - A Pattern Classification Toolbox for Neuroimaging Data. Neuroinformatics 12(3): 471-486 (2014) - 2011
- [j1]Jan Nikolaj Dybowski, Mona Riemenschneider, Sascha Hauke, Martin Pyka, Jens Verheyen, Daniel Hoffmann, Dominik Heider:
Improved Bevirimat resistance prediction by combination of structural and sequence-based classifiers. BioData Min. 4: 26 (2011)
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