Harald Binder

According to our database, Harald Binder authored at least 51 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

The role of data sharing in survey dropout: a study among scientists as respondents.

Urs A. Fichtner, Lukas Maximilian Horstmeier, Boris Alexander Brühmann, Manuel Watter, Harald Binder, Jochen Knaus

J. Documentation, 2023

Combining propensity score methods with variational autoencoders for generating synthetic data in presence of latent sub-groups.

Kiana Farhadyar, Federico Bonofiglio, Maren Hackenberg, Daniela Zöller, Harald Binder

CoRR, 2023

Investigating a domain adaptation approach for integrating different measurement instruments in a longitudinal clinical registry.

Maren Hackenberg, Michelle Pfaffenlehner, Max Behrens, Astrid Pechmann, Janbernd Kirschner, Harald Binder

CoRR, 2023

A statistical approach to latent dynamic modeling with differential equations.

Maren Hackenberg, Astrid Pechmann, Clemens Kreutz, Janbernd Kirschner, Harald Binder

CoRR, 2023

2022

Sequential Learning of Regression Models by Penalized Estimation.

Wessel N. van Wieringen, Harald Binder

J. Comput. Graph. Stat., July, 2022

The JuliaConnectoR: A Functionally-Oriented Interface for Integrating Julia in R.

Stefan Lenz, Maren Hackenberg, Harald Binder

J. Stat. Softw., 2022

Deep learning and differential equations for modeling changes in individual-level latent dynamics between observation periods.

Göran Köber, Raffael Kalisch, Lara M. C. Puhlmann, Andrea Chmitorz, Anita Schick, Harald Binder

CoRR, 2022

Stratified neural networks in a time-to-event setting.

Fabrizio Kuruc, Harald Binder, Moritz Hess

Briefings Bioinform., 2022

Is there a role for statistics in artificial intelligence?

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

Adv. Data Anal. Classif., 2022

2021

Netboost: Boosting-Supported Network Analysis Improves High-Dimensional Omics Prediction in Acute Myeloid Leukemia and Huntington's Disease.

Pascal Schlosser, Jochen Knaus, Maximilian Schmutz, Konstanze Döhner, Christoph Plass, Lars Bullinger, Rainer Claus, Harald Binder, Michael Lübbert, Martin Schumacher

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Adapting deep generative approaches for getting synthetic data with realistic marginal distributions.

Kiana Farhadyar, Federico Bonofiglio, Daniela Zöller, Harald Binder

CoRR, 2021

Synthetic observations from deep generative models and binary omics data with limited sample size.

Jens Nußberger, Frederic Boesel, Stefan Lenz, Harald Binder, Moritz Hess

Briefings Bioinform., 2021

2020

Predicting patient outcomes in psychiatric hospitals with routine data: a machine learning approach.

Jan Wolff, A. Gary, D. Jung, C. Normann, Klaus Kaier, Harald Binder, K. Domschke, Ansgar Klimke, M. Franz

BMC Medical Informatics Decis. Mak., 2020

Using Differentiable Programming for Flexible Statistical Modeling.

Maren Hackenberg, Marlon Grodd, Clemens Kreutz, Martina Fischer, Janina Esins, Linus Grabenhenrich, Christian Karagiannidis, Harald Binder

CoRR, 2020

Deep dynamic modeling with just two time points: Can we still allow for individual trajectories?

Maren Hackenberg, Philipp Harms, Thorsten Schmidt, Harald Binder

CoRR, 2020

Deep generative models in DataSHIELD.

Stefan Lenz, Harald Binder

CoRR, 2020

SPectroscOpic prediction of bRain Tumours (SPORT): study protocol of a prospective imaging trial.

Pamela Franco, Urs Würtemberger, Karam Dacca, Irene Hübschle, Jürgen Beck, Oliver Schnell, Irina Mader, Harald Binder, Horst Urbach, Dieter Henrik Heiland

BMC Medical Imaging, 2020

ideal: an R/Bioconductor package for interactive differential expression analysis.

Federico Marini, Jan Linke, Harald Binder

BMC Bioinform., 2020

Exploring generative deep learning for omics data using log-linear models.

Moritz Hess, Maren Hackenberg, Harald Binder

Bioinform., 2020

Automatic Segmentation of Brain Structures for Treatment Planning Optimization and Target Volume Definition.

Marco Langhans, Tobias Fechter, Dimos Baltas, Harald Binder, Thomas Bortfeld

Proceedings of the Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data, 2020

2019

pcaExplorer: an R/Bioconductor package for interacting with RNA-seq principal components.

Federico Marini, Harald Binder

BMC Bioinform., 2019

A Queue-Poll Extension and DataSHIELD: Standardised, Monitored, Indirect and Secure Access to Sensitive Data.

Julian Gründner, Hans-Ulrich Prokosch, Sebastian Schindler, Stefan Lenz, Harald Binder

Proceedings of the ICT for Health Science Research - Proceedings of the EFMI 2019 Special Topic Conference, 2019

2018

Distributed multivariable modeling for signature development under data protection constraints.

Daniela Zöller, Stefan Lenz, Harald Binder

CoRR, 2018

Feasibility of sample size calculation for RNA-seq studies.

Alicia Poplawski, Harald Binder

Briefings Bioinform., 2018

Modeling Activity Tracker Data Using Deep Boltzmann Machines.

Martin Treppner, Stefan Lenz, Harald Binder, Daniela Zöller

Proceedings of the German Medical Data Sciences: A Learning Healthcare System, 2018

2017

Integrating clinical decision support systems for pharmacogenomic testing into clinical routine - a scoping review of designs of user-system interactions in recent system development.

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

BMC Medical Informatics Decis. Mak., 2017

Partitioned learning of deep Boltzmann machines for SNP data.

Moritz Hess, Stefan Lenz, Tamara J. Blätte, Lars Bullinger, Harald Binder

Bioinform., 2017

2016

Integrating multiple molecular sources into a clinical risk prediction signature by extracting complementary information.

Stefanie Hieke, Axel Benner, Richard F. Schlenl, Martin Schumacher, Lars Bullinger, Harald Binder

BMC Bioinform., 2016

Systematically evaluating interfaces for RNA-seq analysis from a life scientist perspective.

Alicia Poplawski, Federico Marini, Moritz Hess, Tanja Zeller, Johanna Mazur, Harald Binder

Briefings Bioinform., 2016

2015

A weighting approach for judging the effect of patient strata on high-dimensional risk prediction signatures.

Veronika Weyer, Harald Binder

BMC Bioinform., 2015

Translating bioinformatics in oncology: guilt-by-profiling analysis and identification of KIF18B and CDCA3 as novel driver genes in carcinogenesis.

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

Bioinform., 2015

Acoustic event source localization for surveillance in reverberant environments supported by an event onset detection.

Peter Transfeld, Uwe Martens, Harald Binder, Thomas Schypior, Tim Fingscheidt

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

minPtest: a resampling based gene region-level testing procedure for genetic case-control studies.

Stefanie Hieke, Harald Binder, Alexandra Nieters, Martin Schumacher

Comput. Stat., 2014

Proceedings of Reisensburg 2011.

Harald Binder, Hans A. Kestler, Matthias Schmid

Comput. Stat., 2014

Combining techniques for screening and evaluating interaction terms on high-dimensional time-to-event data.

Murat Sariyar, Isabell Hoffmann, Harald Binder

BMC Bioinform., 2014

2013

Can matching improve the performance of boosting for identifying important genes in observational studies?

Veronika Reiser, Christine Porzelius, Susanne Stampf, Martin Schumacher, Harald Binder

Comput. Stat., 2013

Proceedings of Reisensburg 2010.

Harald Binder, Hans A. Kestler, Matthias Schmid

Comput. Stat., 2013

2011

The benefit of data-based model complexity selection via prediction error curves in time-to-event data.

Christine Porzelius, Martin Schumacher, Harald Binder

Comput. Stat., 2011

Graph based fusion of miRNA and mRNA expression data improves clinical outcome prediction in prostate cancer.

Stephan Gade, Christine Porzelius, Maria Fälth, Jan C. Brase, Daniela Wuttig, Ruprecht Kuner, Harald Binder, Holger Sültmann, Tim Beißbarth

BMC Bioinform., 2011

2010

Sparse regression techniques in low-dimensional survival data settings.

Christine Porzelius, Martin Schumacher, Harald Binder

Stat. Comput., 2010

2009

Easier parallel computing in R with snowfall and sfCluster.

Jochen Knaus, Christine Porzelius, Harald Binder, Guido Schwarzer

R J., 2009

Incorporating pathway information into boosting estimation of high-dimensional risk prediction models.

Harald Binder, Martin Schumacher

BMC Bioinform., 2009

Parallelized prediction error estimation for evaluation of high-dimensional models.

Christine Porzelius, Harald Binder, Martin Schumacher

Bioinform., 2009

Boosting for high-dimensional time-to-event data with competing risks.

Harald Binder, Arthur Allignol, Martin Schumacher, Jan Beyersmann

Bioinform., 2009

2008

A comparison of methods for the fitting of generalized additive models.

Harald Binder, Gerhard Tutz

Stat. Comput., 2008

Increasing the usefulness of additive spline models by knot removal.

Harald Binder, Willi Sauerbrei

Comput. Stat. Data Anal., 2008

Allowing for mandatory covariates in boosting estimation of sparse high-dimensional survival models.

Harald Binder, Martin Schumacher

BMC Bioinform., 2008

Comment on "network-constrained regularization and variable selection for analysis of genomic data".

Harald Binder, Martin Schumacher

Bioinform., 2008

2007

Boosting ridge regression.

Gerhard Tutz, Harald Binder

Comput. Stat. Data Anal., 2007

Assessment of survival prediction models based on microarray data.

Martin Schumacher, Harald Binder, Thomas Gerds

Bioinform., 2007

2005

Localized classification.

Gerhard Tutz, Harald Binder

Stat. Comput., 2005