Harald Binder - RankMe

64 papers Misc 1Journal 57Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A statistical perspective on transformers for small longitudinal cohort data. CoRR Kiana Farhadyar, Maren Hackenberg, Kira Ahrens, Charlotte Schenk, Bianca Kollmann, Oliver Tüscher, Klaus Lieb, Michael M. Plichta, Andreas Reif, Raffael Kalisch, Martin Wolkewitz, Moritz Hess, Harald Binder
2026	J	`jnl`	Assessing Multimodal Chronic Wound Embeddings with Expert Triplet Agreement. CoRR Fabian Kabus, Julia Hindel, Jelena Bratulic, Meropi Karakioulaki, Ayush Gupta, Cristina Has, Thomas Brox, Abhinav Valada, Harald Binder
2026	J	`jnl`	Embedding interpretable ℓ CoRR Fabian Kabus, Maren Hackenberg, Julia Hindel, Thibault Cholvin, Antje Kilias, Thomas Brox, Abhinav Valada, Marlene Bartos, Harald Binder
2025	J	`jnl`	A systematic review of challenges and proposed solutions in modeling multimodal data. CoRR Maryam Farhadizadeh, Maria Weymann, Michael Blaß, Johann Kraus, Christopher Gundler, Sebastian Walter, Noah Hempen, Harald Binder, Nadine Felizitas Binder
2025	J	`jnl`	Evaluating discrepancies in dimensionality reduction for time-series single-cell RNA-sequencing data. Briefings Bioinform. Maren Hackenberg, Laia Canal Guitart, Rolf Backofen, Harald Binder
2025	J	`jnl`	Small Data Explainer - The impact of small data methods in everyday life. CoRR 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
2025	J	`jnl`	Using latent representations to link disjoint longitudinal data for mixed-effects regression. CoRR Clemens Schächter, Maren Hackenberg, Michelle Pfaffenlehner, Félix B. Tambe-Ndonfack, Thorsten Schmidt, Astrid Pechmann, Janbernd Kirschner, Jan Hasenauser, Harald Binder
2023	J	`jnl`	A statistical approach to latent dynamic modeling with differential equations. CoRR Maren Hackenberg, Astrid Pechmann, Clemens Kreutz, Janbernd Kirschner, Harald Binder
2023	J	`jnl`	Combining propensity score methods with variational autoencoders for generating synthetic data in presence of latent sub-groups. CoRR Kiana Farhadyar, Federico Bonofiglio, Maren Hackenberg, Daniela Zöller, Harald Binder
2023	J	`jnl`	Investigating a domain adaptation approach for integrating different measurement instruments in a longitudinal clinical registry. CoRR Maren Hackenberg, Michelle Pfaffenlehner, Max Behrens, Astrid Pechmann, Janbernd Kirschner, Harald Binder
2023	J	`jnl`	The role of data sharing in survey dropout: a study among scientists as respondents. J. Documentation Urs A. Fichtner, Lukas Maximilian Horstmeier, Boris Alexander Brühmann, Manuel Watter, Harald Binder, Jochen Knaus
2022	J	`jnl`	Deep learning and differential equations for modeling changes in individual-level latent dynamics between observation periods. CoRR Göran Köber, Raffael Kalisch, Lara M. C. Puhlmann, Andrea Chmitorz, Anita Schick, Harald Binder
2022	J	`jnl`	Is there a role for statistics in artificial intelligence? Adv. Data Anal. Classif. 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
2022	J	`jnl`	Sequential Learning of Regression Models by Penalized Estimation. J. Comput. Graph. Stat. Wessel N. van Wieringen, Harald Binder
2022	J	`jnl`	Stratified neural networks in a time-to-event setting. Briefings Bioinform. Fabrizio Kuruc, Harald Binder, Moritz Hess
2022	J	`jnl`	The JuliaConnectoR: A Functionally-Oriented Interface for Integrating Julia in R. J. Stat. Softw. Stefan Lenz, Maren Hackenberg, Harald Binder
2021	J	`jnl`	Adapting deep generative approaches for getting synthetic data with realistic marginal distributions. CoRR Kiana Farhadyar, Federico Bonofiglio, Daniela Zöller, Harald Binder
2021	J	`jnl`	Netboost: Boosting-Supported Network Analysis Improves High-Dimensional Omics Prediction in Acute Myeloid Leukemia and Huntington's Disease. IEEE ACM Trans. Comput. Biol. Bioinform. Pascal Schlosser, Jochen Knaus, Maximilian Schmutz, Konstanze Döhner, Christoph Plass, Lars Bullinger, Rainer Claus, Harald Binder, Michael Lübbert, Martin Schumacher
2021	J	`jnl`	Synthetic observations from deep generative models and binary omics data with limited sample size. Briefings Bioinform. Jens Nußberger, Frederic Boesel, Stefan Lenz, Harald Binder, Moritz Hess
2020	—	`conf`	Automatic Segmentation of Brain Structures for Treatment Planning Optimization and Target Volume Definition. MICCAI (Challenges) Marco Langhans, Tobias Fechter, Dimos Baltas, Harald Binder, Thomas Bortfeld
2020	J	`jnl`	Deep dynamic modeling with just two time points: Can we still allow for individual trajectories? CoRR Maren Hackenberg, Philipp Harms, Thorsten Schmidt, Harald Binder
2020	J	`jnl`	Deep generative models in DataSHIELD. CoRR Stefan Lenz, Harald Binder
2020	J	`jnl`	Exploring generative deep learning for omics data using log-linear models. Bioinform. Moritz Hess, Maren Hackenberg, Harald Binder
2020	J	`jnl`	Is there a role for statistics in artificial intelligence? CoRR 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
2020	J	`jnl`	Predicting patient outcomes in psychiatric hospitals with routine data: a machine learning approach. BMC Medical Informatics Decis. Mak. Jan Wolff, A. Gary, D. Jung, C. Normann, Klaus Kaier, Harald Binder, K. Domschke, Ansgar Klimke, M. Franz
2020	J	`jnl`	SPectroscOpic prediction of bRain Tumours (SPORT): study protocol of a prospective imaging trial. BMC Medical Imaging Pamela Franco, Urs Würtemberger, Karam Dacca, Irene Hübschle, Jürgen Beck, Oliver Schnell, Irina Mader, Harald Binder, Horst Urbach, Dieter Henrik Heiland
2020	J	`jnl`	The JuliaConnectoR: a functionally oriented interface for integrating Julia in R. CoRR Stefan Lenz, Maren Hackenberg, Harald Binder
2020	J	`jnl`	Using Differentiable Programming for Flexible Statistical Modeling. CoRR Maren Hackenberg, Marlon Grodd, Clemens Kreutz, Martina Fischer, Janina Esins, Linus Grabenhenrich, Christian Karagiannidis, Harald Binder
2020	J	`jnl`	ideal: an R/Bioconductor package for interactive differential expression analysis. BMC Bioinform. Federico Marini, Jan Linke, Harald Binder
2019	—	`conf`	A Queue-Poll Extension and DataSHIELD: Standardised, Monitored, Indirect and Secure Access to Sensitive Data. EFMI-STC Julian Gründner, Hans-Ulrich Prokosch, Sebastian Schindler, Stefan Lenz, Harald Binder
2019	—	`ed.`	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 GMDS Rainer Röhrig, Harald Binder, Hans-Ulrich Prokosch, Ulrich Sax, Irene Schmidtmann, Susanne Stolpe, Antonia Zapf
2019	J	`jnl`	pcaExplorer: an R/Bioconductor package for interacting with RNA-seq principal components. BMC Bioinform. Federico Marini, Harald Binder
2018	J	`jnl`	Distributed multivariable modeling for signature development under data protection constraints. CoRR Daniela Zöller, Stefan Lenz, Harald Binder
2018	J	`jnl`	Feasibility of sample size calculation for RNA-seq studies. Briefings Bioinform. Alicia Poplawski, Harald Binder
2018	—	`ed.`	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 GMDS Ursula Hübner, Ulrich Sax, Hans-Ulrich Prokosch, Bernhard Breil, Harald Binder, Antonia Zapf, Brigitte Strahwald, Tim Beißbarth, Niels Grabe, Anke Schöler
2018	—	`conf`	Modeling Activity Tracker Data Using Deep Boltzmann Machines. GMDS Martin Treppner, Stefan Lenz, Harald Binder, Daniela Zöller
2018	J	`jnl`	Modeling Activity Tracker Data Using Deep Boltzmann Machines. CoRR Martin Treppner, Stefan Lenz, Harald Binder, Daniela Zöller
2017	—	`ed.`	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. GMDS Rainer Röhrig, Antje Timmer, Harald Binder, Ulrich Sax
2017	J	`jnl`	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. 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
2017	J	`jnl`	Partitioned learning of deep Boltzmann machines for SNP data. Bioinform. Moritz Hess, Stefan Lenz, Tamara J. Blätte, Lars Bullinger, Harald Binder
2016	J	`jnl`	Integrating multiple molecular sources into a clinical risk prediction signature by extracting complementary information. BMC Bioinform. Stefanie Hieke, Axel Benner, Richard F. Schlenl, Martin Schumacher, Lars Bullinger, Harald Binder
2016	J	`jnl`	Systematically evaluating interfaces for RNA-seq analysis from a life scientist perspective. Briefings Bioinform. Alicia Poplawski, Federico Marini, Moritz Hess, Tanja Zeller, Johanna Mazur, Harald Binder
2015	J	`jnl`	A weighting approach for judging the effect of patient strata on high-dimensional risk prediction signatures. BMC Bioinform. Veronika Weyer, Harald Binder
2015	Misc	`conf`	Acoustic event source localization for surveillance in reverberant environments supported by an event onset detection. ICASSP Peter Transfeld, Uwe Martens, Harald Binder, Thomas Schypior, Tim Fingscheidt
2015	J	`jnl`	Translating bioinformatics in oncology: guilt-by-profiling analysis and identification of KIF18B and CDCA3 as novel driver genes in carcinogenesis. Bioinform. 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
2014	J	`jnl`	Combining techniques for screening and evaluating interaction terms on high-dimensional time-to-event data. BMC Bioinform. Murat Sariyar, Isabell Hoffmann, Harald Binder
2014	J	`jnl`	Proceedings of Reisensburg 2011. Comput. Stat. Harald Binder, Hans A. Kestler, Matthias Schmid
2014	J	`jnl`	minPtest: a resampling based gene region-level testing procedure for genetic case-control studies. Comput. Stat. Stefanie Hieke, Harald Binder, Alexandra Nieters, Martin Schumacher
2013	J	`jnl`	Can matching improve the performance of boosting for identifying important genes in observational studies? Comput. Stat. Veronika Reiser, Christine Porzelius, Susanne Stampf, Martin Schumacher, Harald Binder
2013	J	`jnl`	Proceedings of Reisensburg 2010. Comput. Stat. Harald Binder, Hans A. Kestler, Matthias Schmid
2011	J	`jnl`	Graph based fusion of miRNA and mRNA expression data improves clinical outcome prediction in prostate cancer. BMC Bioinform. Stephan Gade, Christine Porzelius, Maria Fälth, Jan C. Brase, Daniela Wuttig, Ruprecht Kuner, Harald Binder, Holger Sültmann, Tim Beißbarth
2011	J	`jnl`	The benefit of data-based model complexity selection via prediction error curves in time-to-event data. Comput. Stat. Christine Porzelius, Martin Schumacher, Harald Binder
2010	J	`jnl`	Sparse regression techniques in low-dimensional survival data settings. Stat. Comput. Christine Porzelius, Martin Schumacher, Harald Binder
2009	J	`jnl`	Boosting for high-dimensional time-to-event data with competing risks. Bioinform. Harald Binder, Arthur Allignol, Martin Schumacher, Jan Beyersmann
2009	J	`jnl`	Easier parallel computing in R with snowfall and sfCluster. R J. Jochen Knaus, Christine Porzelius, Harald Binder, Guido Schwarzer
2009	J	`jnl`	Incorporating pathway information into boosting estimation of high-dimensional risk prediction models. BMC Bioinform. Harald Binder, Martin Schumacher
2009	J	`jnl`	Parallelized prediction error estimation for evaluation of high-dimensional models. Bioinform. Christine Porzelius, Harald Binder, Martin Schumacher
2008	J	`jnl`	A comparison of methods for the fitting of generalized additive models. Stat. Comput. Harald Binder, Gerhard Tutz
2008	J	`jnl`	Allowing for mandatory covariates in boosting estimation of sparse high-dimensional survival models. BMC Bioinform. Harald Binder, Martin Schumacher
2008	J	`jnl`	Comment on "network-constrained regularization and variable selection for analysis of genomic data". Bioinform. Harald Binder, Martin Schumacher
2008	J	`jnl`	Increasing the usefulness of additive spline models by knot removal. Comput. Stat. Data Anal. Harald Binder, Willi Sauerbrei
2007	J	`jnl`	Assessment of survival prediction models based on microarray data. Bioinform. Martin Schumacher, Harald Binder, Thomas Gerds
2007	J	`jnl`	Boosting ridge regression. Comput. Stat. Data Anal. Gerhard Tutz, Harald Binder
2005	J	`jnl`	Localized classification. Stat. Comput. Gerhard Tutz, Harald Binder