Harald Binder

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 35

Top Topics

Boltzmann Machines

Differential Equations

Top Venues

Briefings Bioinform.

Publications

Maren Hackenberg, Astrid Pechmann, Clemens Kreutz, Janbernd Kirschner, Harald Binder
A statistical approach to latent dynamic modeling with differential equations. CoRR (2023)
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 (2023)
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 (2023)
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) (2023)
Fabrizio Kuruc, Harald Binder, Moritz Hess
Stratified neural networks in a time-to-event setting. Briefings Bioinform. 23 (1) (2022)
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) (2022)
Wessel N. van Wieringen, Harald Binder
Sequential Learning of Regression Models by Penalized Estimation. J. Comput. Graph. Stat. 31 (3) (2022)
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 (2022)
Stefan Lenz, Maren Hackenberg, Harald Binder
The JuliaConnectoR: A Functionally-Oriented Interface for Integrating Julia in R. J. Stat. Softw. 101 (6) (2022)
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) (2021)
Kiana Farhadyar, Federico Bonofiglio, Daniela Zöller, Harald Binder
Adapting deep generative approaches for getting synthetic data with realistic marginal distributions. CoRR (2021)
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)
Maren Hackenberg, Philipp Harms, Thorsten Schmidt, Harald Binder
Deep dynamic modeling with just two time points: Can we still allow for individual trajectories? CoRR (2020)
Moritz Hess, Maren Hackenberg, Harald Binder
Exploring generative deep learning for omics data using log-linear models. Bioinform. 36 (20) (2020)
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 (2020)
Maren Hackenberg, Marlon Grodd, Clemens Kreutz, Martina Fischer, Janina Esins, Linus Grabenhenrich, Christian Karagiannidis, Harald Binder
Using Differentiable Programming for Flexible Statistical Modeling. CoRR (2020)
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) (2020)
Stefan Lenz, Harald Binder
Deep generative models in DataSHIELD. CoRR (2020)
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) (2020)
Federico Marini, Jan Linke, Harald Binder
ideal: an R/Bioconductor package for interactive differential expression analysis. BMC Bioinform. (1) (2020)
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)
Stefan Lenz, Maren Hackenberg, Harald Binder
The JuliaConnectoR: a functionally oriented interface for integrating Julia in R. CoRR (2020)
Federico Marini, Harald Binder
pcaExplorer: an R/Bioconductor package for interacting with RNA-seq principal components. BMC Bioinform. 20 (1) (2019)
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)
Martin Treppner, Stefan Lenz, Harald Binder, Daniela Zöller
Modeling Activity Tracker Data Using Deep Boltzmann Machines. CoRR (2018)
Alicia Poplawski, Harald Binder
Feasibility of sample size calculation for RNA-seq studies. Briefings Bioinform. 19 (4) (2018)
Martin Treppner, Stefan Lenz, Harald Binder, Daniela Zöller
Modeling Activity Tracker Data Using Deep Boltzmann Machines. GMDS (2018)
Daniela Zöller, Stefan Lenz, Harald Binder
Distributed multivariable modeling for signature development under data protection constraints. CoRR (2018)
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) (2017)
Moritz Hess, Stefan Lenz, Tamara J. Blätte, Lars Bullinger, Harald Binder
Partitioned learning of deep Boltzmann machines for SNP data. Bioinform. 33 (20) (2017)
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 (2016)
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) (2016)
Veronika Weyer, Harald Binder
A weighting approach for judging the effect of patient strata on high-dimensional risk prediction signatures. BMC Bioinform. 16 (2015)
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) (2015)
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)
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) (2014)
Murat Sariyar, Isabell Hoffmann, Harald Binder
Combining techniques for screening and evaluating interaction terms on high-dimensional time-to-event data. BMC Bioinform. 15 (2014)
Harald Binder, Hans A. Kestler, Matthias Schmid
Proceedings of Reisensburg 2011. Comput. Stat. 29 (1) (2014)
Harald Binder, Hans A. Kestler, Matthias Schmid
Proceedings of Reisensburg 2010. Comput. Stat. 28 (1) (2013)
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) (2013)
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 (2011)
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) (2011)
Christine Porzelius, Martin Schumacher, Harald Binder
Sparse regression techniques in low-dimensional survival data settings. Stat. Comput. 20 (2) (2010)
Harald Binder, Martin Schumacher
Incorporating pathway information into boosting estimation of high-dimensional risk prediction models. BMC Bioinform. 10 (2009)
Jochen Knaus, Christine Porzelius, Harald Binder, Guido Schwarzer
Easier parallel computing in R with snowfall and sfCluster. R J. 1 (1) (2009)
Harald Binder, Arthur Allignol, Martin Schumacher, Jan Beyersmann
Boosting for high-dimensional time-to-event data with competing risks. Bioinform. 25 (7) (2009)
Christine Porzelius, Harald Binder, Martin Schumacher
Parallelized prediction error estimation for evaluation of high-dimensional models. Bioinform. 25 (6) (2009)
Harald Binder, Gerhard Tutz
A comparison of methods for the fitting of generalized additive models. Stat. Comput. 18 (1) (2008)
Harald Binder, Willi Sauerbrei
Increasing the usefulness of additive spline models by knot removal. Comput. Stat. Data Anal. 52 (12) (2008)
Harald Binder, Martin Schumacher
Allowing for mandatory covariates in boosting estimation of sparse high-dimensional survival models. BMC Bioinform. 9 (2008)
Harald Binder, Martin Schumacher
Comment on "network-constrained regularization and variable selection for analysis of genomic data". Bioinform. 24 (21) (2008)
Martin Schumacher, Harald Binder, Thomas Gerds
Assessment of survival prediction models based on microarray data. Bioinform. 23 (14) (2007)
Gerhard Tutz, Harald Binder
Boosting ridge regression. Comput. Stat. Data Anal. 51 (12) (2007)
Gerhard Tutz, Harald Binder
Localized classification. Stat. Comput. 15 (3) (2005)