Localized classification. - Gerhard Tutz 001; Harald Binder (Stat. Comput., 2005)

Assessment of survival prediction models based on microarray data. - Martin Schumacher; Harald Binder; Thomas Gerds (Bioinform., 2007)

Boosting ridge regression. - Gerhard Tutz 001; Harald Binder (Comput. Stat. Data Anal., 2007)

Comment on "network-constrained regularization and variable selection for analysis of genomic data". - Harald Binder; Martin Schumacher (Bioinform., 2008)

Allowing for mandatory covariates in boosting estimation of sparse high-dimensional survival models. - Harald Binder; Martin Schumacher (BMC Bioinform., 2008)

Increasing the usefulness of additive spline models by knot removal. - Harald Binder; Willi Sauerbrei (Comput. Stat. Data Anal., 2008)

A comparison of methods for the fitting of generalized additive models. - Harald Binder; Gerhard Tutz 001 (Stat. Comput., 2008)

Boosting for high-dimensional time-to-event data with competing risks. - Harald Binder; Arthur Allignol; Martin Schumacher; Jan Beyersmann (Bioinform., 2009)

Parallelized prediction error estimation for evaluation of high-dimensional models. - Christine Porzelius; Harald Binder; Martin Schumacher (Bioinform., 2009)

Incorporating pathway information into boosting estimation of high-dimensional risk prediction models. - Harald Binder; Martin Schumacher (BMC Bioinform., 2009)

Easier parallel computing in R with snowfall and sfCluster. - Jochen Knaus; Christine Porzelius; Harald Binder; Guido Schwarzer (R J., 2009)

Sparse regression techniques in low-dimensional survival data settings. - Christine Porzelius; Martin Schumacher; Harald Binder (Stat. Comput., 2010)

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)

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)

Proceedings of Reisensburg 2010. - Harald Binder; Hans A. Kestler; Matthias Schmid (Comput. Stat., 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)

Combining techniques for screening and evaluating interaction terms on high-dimensional time-to-event data. - Murat Sariyar; Isabell Hoffmann; Harald Binder (BMC Bioinform., 2014)

Proceedings of Reisensburg 2011. - Harald Binder; Hans A. Kestler; Matthias Schmid (Comput. Stat., 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)

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 (ICASSP, 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 001; Snorri Thorgeirsson; et al. (Bioinform., 2015)

A weighting approach for judging the effect of patient strata on high-dimensional risk prediction signatures. - Veronika Weyer; Harald Binder (BMC Bioinform., 2015)

Systematically evaluating interfaces for RNA-seq analysis from a life scientist perspective. - Alicia Poplawski; Federico Marini 002; Moritz Hess; Tanja Zeller; Johanna Mazur; Harald Binder (Briefings Bioinform., 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)

Partitioned learning of deep Boltzmann machines for SNP data. - Moritz Hess; Stefan Lenz; Tamara J. Blätte; Lars Bullinger; Harald Binder (Bioinform., 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)

Modeling Activity Tracker Data Using Deep Boltzmann Machines. - Martin Treppner; Stefan Lenz; Harald Binder; Daniela Zöller (GMDS, 2018)

Feasibility of sample size calculation for RNA-seq studies. - Alicia Poplawski; Harald Binder (Briefings Bioinform., 2018)

Distributed multivariable modeling for signature development under data protection constraints. - Daniela Zöller; Stefan Lenz; Harald Binder (CoRR, 2018)

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 (EFMI-STC, 2019)

pcaExplorer: an R/Bioconductor package for interacting with RNA-seq principal components. - Federico Marini 002; Harald Binder (BMC Bioinform., 2019)

Automatic Segmentation of Brain Structures for Treatment Planning Optimization and Target Volume Definition. - Marco Langhans; Tobias Fechter; Dimos Baltas; Harald Binder; Thomas Bortfeld (MICCAI (Challenges), 2020)

Exploring generative deep learning for omics data using log-linear models. - Moritz Hess; Maren Hackenberg; Harald Binder (Bioinform., 2020)

ideal: an R/Bioconductor package for interactive differential expression analysis. - Federico Marini 002; Jan Linke; Harald Binder (BMC Bioinform., 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)

Deep generative models in DataSHIELD. - Stefan Lenz; 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)

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)

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)

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)

Adapting deep generative approaches for getting synthetic data with realistic marginal distributions. - Kiana Farhadyar; Federico Bonofiglio; Daniela Zöller; Harald Binder (CoRR, 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)

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; et al. (Adv. Data Anal. Classif., 2022)

Stratified neural networks in a time-to-event setting. - Fabrizio Kuruc; Harald Binder; Moritz Hess (Briefings Bioinform., 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)

The JuliaConnectoR: A Functionally-Oriented Interface for Integrating Julia in R. - Stefan Lenz; Maren Hackenberg; Harald Binder (J. Stat. Softw., 2022)

Sequential Learning of Regression Models by Penalized Estimation. - Wessel N. van Wieringen; Harald Binder (J. Comput. Graph. Stat., 2022)

A statistical approach to latent dynamic modeling with differential equations. - Maren Hackenberg; Astrid Pechmann; Clemens Kreutz; Janbernd Kirschner; 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)

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)

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)

Evaluating discrepancies in dimensionality reduction for time-series single-cell RNA-sequencing data. - Maren Hackenberg; Laia Canal Guitart; Rolf Backofen; Harald Binder (Briefings Bioinform., 2025)

A systematic review of challenges and proposed solutions in modeling multimodal data. - Maryam Farhadizadeh; Maria Weymann; Michael Blaß; Johann Kraus; Christopher Gundler; Sebastian Walter 001; Noah Hempen; Harald Binder; Nadine Felizitas Binder (CoRR, 2025)

Small Data Explainer - The impact of small data methods in everyday life. - Maren Hackenberg; Sophia G. Connor; Fabian Kabus; June Brawner; Ella Markham; Mahi Hardalupas; Areeq Chowdhury; Rolf Backofen; Anna Köttgen; Angelika Rohde; Nadine Felizitas Binder; Harald Binder (CoRR, 2025)