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2020 – today
- 2023
[j38]Urs A. Fichtner
, Lukas Maximilian Horstmeier, Boris Alexander Brühmann, Manuel Watter, Harald Binder, Jochen Knaus:
The role of data sharing in survey dropout: a study among scientists as respondents. J. Documentation 79(4): 864-879 (2023)- [i12]Maren Hackenberg, Astrid Pechmann, Clemens Kreutz, Janbernd Kirschner, Harald Binder:
A statistical approach to latent dynamic modeling with differential equations. CoRR abs/2311.16286 (2023) - [i11]Maren Hackenberg, Michelle Pfaffenlehner, Max Behrens, Astrid Pechmann, Janbernd Kirschner, Harald Binder:
Investigating a domain adaptation approach for integrating different measurement instruments in a longitudinal clinical registry. CoRR abs/2312.00616 (2023) - [i10]Kiana Farhadyar, Federico Bonofiglio, Maren Hackenberg, Daniela Zöller, Harald Binder:
Combining propensity score methods with variational autoencoders for generating synthetic data in presence of latent sub-groups. CoRR abs/2312.07781 (2023) - 2022
- [j37]Sarah Friedrich, Gerd Antes, Sigrid Behr, Harald Binder, Werner Brannath, Florian Dumpert, Katja Ickstadt, Hans A. Kestler, Johannes Lederer, Heinz Leitgöb, Markus Pauly, Ansgar Steland, Adalbert F. X. Wilhelm, Tim Friede:
Is there a role for statistics in artificial intelligence? Adv. Data Anal. Classif. 16(4): 823-846 (2022) - [j36]Fabrizio Kuruc, Harald Binder, Moritz Hess:
Stratified neural networks in a time-to-event setting. Briefings Bioinform. 23(1) (2022) - [j35]Wessel N. van Wieringen, Harald Binder:
Sequential Learning of Regression Models by Penalized Estimation. J. Comput. Graph. Stat. 31(3): 877-886 (2022) - [j34]Stefan Lenz, Maren Hackenberg, Harald Binder:
The JuliaConnectoR: A Functionally-Oriented Interface for Integrating Julia in R. J. Stat. Softw. 101(6) (2022) - [i9]Göran Köber, Raffael Kalisch, Lara M. C. Puhlmann, Andrea Chmitorz, Anita Schick, Harald Binder:
Deep learning and differential equations for modeling changes in individual-level latent dynamics between observation periods. CoRR abs/2202.07403 (2022) - 2021
- [j33]Jens Nußberger, Frederic Boesel, Stefan Lenz, Harald Binder, Moritz Hess:
Synthetic observations from deep generative models and binary omics data with limited sample size. Briefings Bioinform. 22(4) (2021) - [j32]Pascal Schlosser, Jochen Knaus, Maximilian Schmutz, Konstanze Döhner, Christoph Plass, Lars Bullinger, Rainer Claus, Harald Binder, Michael Lübbert, Martin Schumacher:
Netboost: Boosting-Supported Network Analysis Improves High-Dimensional Omics Prediction in Acute Myeloid Leukemia and Huntington's Disease. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2635-2648 (2021) - [i8]Kiana Farhadyar, Federico Bonofiglio, Daniela Zöller, Harald Binder:
Adapting deep generative approaches for getting synthetic data with realistic marginal distributions. CoRR abs/2105.06907 (2021) - 2020
- [j31]Moritz Hess, Maren Hackenberg, Harald Binder:
Exploring generative deep learning for omics data using log-linear models. Bioinform. 36(20): 5045-5053 (2020) - [j30]Federico Marini, Jan Linke, Harald Binder:
ideal: an R/Bioconductor package for interactive differential expression analysis. BMC Bioinform. 21-S(1): 565 (2020) - [j29]Pamela Franco, Urs Würtemberger, Karam Dacca, Irene Hübschle, Jürgen Beck, Oliver Schnell, Irina Mader, Harald Binder, Horst Urbach, Dieter Henrik Heiland:
SPectroscOpic prediction of bRain Tumours (SPORT): study protocol of a prospective imaging trial. BMC Medical Imaging 20(1): 123 (2020) - [j28]Jan Wolff, A. Gary, D. Jung, C. Normann, Klaus Kaier, Harald Binder, K. Domschke, Ansgar Klimke, M. Franz:
Predicting patient outcomes in psychiatric hospitals with routine data: a machine learning approach. BMC Medical Informatics Decis. Mak. 20(1): 21 (2020) - [c4]Marco Langhans, Tobias Fechter, Dimos Baltas, Harald Binder, Thomas Bortfeld:
Automatic Segmentation of Brain Structures for Treatment Planning Optimization and Target Volume Definition. MICCAI (Challenges) 2020: 40-48 - [i7]Stefan Lenz, Harald Binder:
Deep generative models in DataSHIELD. CoRR abs/2003.07775 (2020) - [i6]Stefan Lenz, Maren Hackenberg, Harald Binder:
The JuliaConnectoR: a functionally oriented interface for integrating Julia in R. CoRR abs/2005.06334 (2020) - [i5]Sarah Friedrich, Gerd Antes, Sigrid Behr, Harald Binder, Werner Brannath, Florian Dumpert, Katja Ickstadt, Hans A. Kestler, Johannes Lederer, Heinz Leitgöb, Markus Pauly, Ansgar Steland, Adalbert F. X. Wilhelm, Tim Friede:
Is there a role for statistics in artificial intelligence? CoRR abs/2009.09070 (2020) - [i4]Maren Hackenberg, Philipp Harms, Thorsten Schmidt, Harald Binder:
Deep dynamic modeling with just two time points: Can we still allow for individual trajectories? CoRR abs/2012.00634 (2020) - [i3]Maren Hackenberg, Marlon Grodd, Clemens Kreutz, Martina Fischer, Janina Esins, Linus Grabenhenrich, Christian Karagiannidis, Harald Binder:
Using Differentiable Programming for Flexible Statistical Modeling. CoRR abs/2012.05722 (2020)
2010 – 2019
- 2019
- [j27]Federico Marini, Harald Binder:
pcaExplorer: an R/Bioconductor package for interacting with RNA-seq principal components. BMC Bioinform. 20(1): 331:1-331:8 (2019) - [c3]Julian Gründner, Hans-Ulrich Prokosch, Sebastian Schindler, Stefan Lenz, Harald Binder:
A Queue-Poll Extension and DataSHIELD: Standardised, Monitored, Indirect and Secure Access to Sensitive Data. EFMI-STC 2019: 115-119 - [e3]Rainer Röhrig, Harald Binder, Hans-Ulrich Prokosch, Ulrich Sax, Irene Schmidtmann, Susanne Stolpe, Antonia Zapf:
German Medical Data Sciences: Shaping Change - Creative Solutions for Innovative Medicine - Proceedings of the 64th Annual Meeting of the German Association of Medical Informatics, Biometry and Epidemiology (gmds e.V.) 2019 in Dortmund, Germany - GMDS 2019. Studies in Health Technology and Informatics 267, IOS Press 2019, ISBN 978-1-64368-016-3 [contents] - 2018
- [j26]Alicia Poplawski, Harald Binder:
Feasibility of sample size calculation for RNA-seq studies. Briefings Bioinform. 19(4): 713-720 (2018) - [c2]Martin Treppner, Stefan Lenz, Harald Binder, Daniela Zöller:
Modeling Activity Tracker Data Using Deep Boltzmann Machines. GMDS 2018: 155-159 - [e2]Ursula Hübner, Ulrich Sax, Hans-Ulrich Prokosch, Bernhard Breil, Harald Binder, Antonia Zapf, Brigitte Strahwald, Tim Beißbarth, Niels Grabe, Anke Schöler:
German Medical Data Sciences: A Learning Healthcare System - Proceedings of the 63rd Annual Meeting of the German Association of Medical Informatics, Biometry and Epidemiology (GMDS e.V.) 2018 in Osnabrück, Germany, 2-6 September 2018, GMDS 2018. Studies in Health Technology and Informatics 253, IOS Press 2018, ISBN 978-1-61499-895-2 [contents] - [i2]Martin Treppner, Stefan Lenz, Harald Binder, Daniela Zöller:
Modeling Activity Tracker Data Using Deep Boltzmann Machines. CoRR abs/1802.10576 (2018) - [i1]Daniela Zöller, Stefan Lenz, Harald Binder:
Distributed multivariable modeling for signature development under data protection constraints. CoRR abs/1803.00422 (2018) - 2017
- [j25]Moritz Hess, Stefan Lenz, Tamara J. Blätte, Lars Bullinger, Harald Binder:
Partitioned learning of deep Boltzmann machines for SNP data. Bioinform. 33(20): 3173-3180 (2017) - [j24]Marc Hinderer, Martin Boeker, Sebastian A. Wagner, Martin Lablans, Stephanie Newe, Jan L. Hülsemann, Michael Neumaier, Harald Binder, Harald Renz, Till Acker, Hans-Ulrich Prokosch, Martin Sedlmayr:
Integrating clinical decision support systems for pharmacogenomic testing into clinical routine - a scoping review of designs of user-system interactions in recent system development. BMC Medical Informatics Decis. Mak. 17(1): 81:1-81:14 (2017) - [e1]Rainer Röhrig, Antje Timmer, Harald Binder, Ulrich Sax:
German Medical Data Sciences: Visions and Bridges - Proceedings of the 62nd Annual Meeting of the German Association of Medical Informatics, Biometry and Epidemiology (gmds e.V.), GMDS 2017, Oldenburg, Germany, 17-21 September 2017. Studies in Health Technology and Informatics 243, IOS Press 2017, ISBN 978-1-61499-807-5 [contents] - 2016
- [j23]Alicia Poplawski, Federico Marini, Moritz Hess, Tanja Zeller, Johanna Mazur, Harald Binder:
Systematically evaluating interfaces for RNA-seq analysis from a life scientist perspective. Briefings Bioinform. 17(2): 213-223 (2016) - [j22]Stefanie Hieke, Axel Benner, Richard F. Schlenl, Martin Schumacher, Lars Bullinger, Harald Binder:
Integrating multiple molecular sources into a clinical risk prediction signature by extracting complementary information. BMC Bioinform. 17: 327 (2016) - 2015
- [j21]Timo Itzel, Peter Scholz, Thorsten Maass, Markus Krupp, Jens U. Marquardt, Susanne Strand, Diana Becker, Frank Staib, Harald Binder, Stephanie Roessler, Xin Wei Wang, Snorri Thorgeirsson, Martina Müller, Peter R. Galle, Andreas Teufel:
Translating bioinformatics in oncology: guilt-by-profiling analysis and identification of KIF18B and CDCA3 as novel driver genes in carcinogenesis. Bioinform. 31(2): 216-224 (2015) - [j20]Veronika Weyer, Harald Binder:
A weighting approach for judging the effect of patient strata on high-dimensional risk prediction signatures. BMC Bioinform. 16: 294:1-294:12 (2015) - [c1]Peter Transfeld, Uwe Martens, Harald Binder, Thomas Schypior, Tim Fingscheidt:
Acoustic event source localization for surveillance in reverberant environments supported by an event onset detection. ICASSP 2015: 2629-2633 - 2014
- [j19]Murat Sariyar, Isabell Hoffmann, Harald Binder:
Combining techniques for screening and evaluating interaction terms on high-dimensional time-to-event data. BMC Bioinform. 15: 58 (2014) - [j18]Harald Binder, Hans A. Kestler, Matthias Schmid:
Proceedings of Reisensburg 2011. Comput. Stat. 29(1): 1-2 (2014) - [j17]Stefanie Hieke, Harald Binder, Alexandra Nieters, Martin Schumacher:
minPtest: a resampling based gene region-level testing procedure for genetic case-control studies. Comput. Stat. 29(1): 51-63 (2014) - 2013
- [j16]Harald Binder, Hans A. Kestler, Matthias Schmid:
Proceedings of Reisensburg 2010. Comput. Stat. 28(1): 1-3 (2013) - [j15]Veronika Reiser, Christine Porzelius, Susanne Stampf, Martin Schumacher, Harald Binder:
Can matching improve the performance of boosting for identifying important genes in observational studies? Comput. Stat. 28(1): 37-49 (2013) - 2011
- [j14]Stephan Gade, Christine Porzelius, Maria Fälth, Jan C. Brase, Daniela Wuttig, Ruprecht Kuner, Harald Binder, Holger Sültmann, Tim Beißbarth:
Graph based fusion of miRNA and mRNA expression data improves clinical outcome prediction in prostate cancer. BMC Bioinform. 12: 488 (2011) - [j13]Christine Porzelius, Martin Schumacher, Harald Binder:
The benefit of data-based model complexity selection via prediction error curves in time-to-event data. Comput. Stat. 26(2): 293-302 (2011) - 2010
- [j12]Christine Porzelius, Martin Schumacher, Harald Binder:
Sparse regression techniques in low-dimensional survival data settings. Stat. Comput. 20(2): 151-163 (2010)
2000 – 2009
- 2009
- [j11]Christine Porzelius, Harald Binder, Martin Schumacher:
Parallelized prediction error estimation for evaluation of high-dimensional models. Bioinform. 25(6): 827-829 (2009) - [j10]Harald Binder, Arthur Allignol, Martin Schumacher, Jan Beyersmann:
Boosting for high-dimensional time-to-event data with competing risks. Bioinform. 25(7): 890-896 (2009) - [j9]Harald Binder, Martin Schumacher:
Incorporating pathway information into boosting estimation of high-dimensional risk prediction models. BMC Bioinform. 10 (2009) - [j8]Jochen Knaus, Christine Porzelius, Harald Binder, Guido Schwarzer:
Easier parallel computing in R with snowfall and sfCluster. R J. 1(1): 54 (2009) - 2008
- [j7]Harald Binder, Martin Schumacher:
Comment on "network-constrained regularization and variable selection for analysis of genomic data". Bioinform. 24(21): 2566-2568 (2008) - [j6]Harald Binder, Martin Schumacher:
Allowing for mandatory covariates in boosting estimation of sparse high-dimensional survival models. BMC Bioinform. 9 (2008) - [j5]Harald Binder, Willi Sauerbrei:
Increasing the usefulness of additive spline models by knot removal. Comput. Stat. Data Anal. 52(12): 5305-5318 (2008) - [j4]Harald Binder, Gerhard Tutz:
A comparison of methods for the fitting of generalized additive models. Stat. Comput. 18(1): 87-99 (2008) - 2007
- [j3]Martin Schumacher, Harald Binder, Thomas Gerds:
Assessment of survival prediction models based on microarray data. Bioinform. 23(14): 1768-1774 (2007) - [j2]Gerhard Tutz, Harald Binder:
Boosting ridge regression. Comput. Stat. Data Anal. 51(12): 6044-6059 (2007) - 2005
- [j1]Gerhard Tutz, Harald Binder:
Localized classification. Stat. Comput. 15(3): 155-166 (2005)
Coauthor Index
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