Torsten Hothorn

48 papers B 1Misc 1Journal 39Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep interpretable ensembles. Neurocomputing Lucas Kook, Andrea Götschi, Philipp F. M. Baumann, Torsten Hothorn, Beate Sick
2025	—	`conf`	A Flexible Deep Learning Framework for Survival Analysis with Medical Data. MICCAI (15) Gabriele Campanella, Ida Häggström, Lucas Kook, Torsten Hothorn, Thomas J. Fuchs
2025	J	`jnl`	Gradient boosting for generalised additive mixed models. Stat. Comput. Lars Knieper, Torsten Hothorn, Elisabeth Bergherr, Colin Griesbach
2025	J	`jnl`	Remembering Friedrich "Fritz" Leisch. R J. Bettina Grün, Kurt Hornik, Torsten Hothorn, Theresa Scharl, Achim Zeileis
2023	J	`jnl`	Probabilistic time series forecasts with autoregressive transformation models. Stat. Comput. David Rügamer, Philipp F. M. Baumann, Thomas Kneib, Torsten Hothorn
2022	J	`jnl`	Deep and interpretable regression models for ordinal outcomes. Pattern Recognit. Lucas Kook, Lisa Herzog, Torsten Hothorn, Oliver Dürr, Beate Sick
2022	J	`jnl`	Deep conditional transformation models for survival analysis. CoRR Gabriele Campanella, Lucas Kook, Ida Häggström, Torsten Hothorn, Thomas J. Fuchs
2022	J	`jnl`	Deep interpretable ensembles. CoRR Lucas Kook, Andrea Götschi, Philipp F. M. Baumann, Torsten Hothorn, Beate Sick
2021	—	`conf`	Deep Conditional Transformation Models. ECML/PKDD (3) Philipp F. M. Baumann, Torsten Hothorn, David Rügamer
2021	J	`jnl`	Predictive Distribution Modeling Using Transformation Forests. J. Comput. Graph. Stat. Torsten Hothorn, Achim Zeileis
2021	J	`jnl`	Regularized Transformation Models: The tramnet Package. R J. Lucas Kook, Torsten Hothorn
2021	J	`jnl`	Transforming Autoregression: Interpretable and Expressive Time Series Forecast. CoRR David Rügamer, Philipp F. M. Baumann, Thomas Kneib, Torsten Hothorn
2021	J	`jnl`	tramME: Mixed-Effects Transformation Models Using Template Model Builder. R J. Bálint Tamási, Torsten Hothorn
2020	J	`jnl`	Deep Conditional Transformation Models. CoRR Philipp F. M. Baumann, Torsten Hothorn, David Rügamer
2020	B	`conf`	Deep transformation models: Tackling complex regression problems with neural network based transformation models. ICPR Beate Sick, Torsten Hothorn, Oliver Dürr
2020	J	`jnl`	Deep transformation models: Tackling complex regression problems with neural network based transformation models. CoRR Beate Sick, Torsten Hothorn, Oliver Dürr
2020	J	`jnl`	Ordinal Neural Network Transformation Models: Deep and interpretable regression models for ordinal outcomes. CoRR Lucas Kook, Lisa Herzog, Torsten Hothorn, Oliver Dürr, Beate Sick
2020	J	`jnl`	Transformation boosting machines. Stat. Comput. Torsten Hothorn
2019	J	`jnl`	Generalised linear model trees with global additive effects. Adv. Data Anal. Classif. Heidi Seibold, Torsten Hothorn, Achim Zeileis
2016	J	`jnl`	A unified framework of constrained regression. Stat. Comput. Benjamin Hofner, Thomas Kneib, Torsten Hothorn
2015	J	`jnl`	Partykit: a modular toolkit for recursive partytioning in R. J. Mach. Learn. Res. Torsten Hothorn, Achim Zeileis
2014	J	`jnl`	A new variable importance measure for random forests with missing data. Stat. Comput. Alexander Hapfelmeier, Torsten Hothorn, Kurt Ulm, Carolin Strobl
2013	J	`jnl`	Variable selection and model choice in structured survival models. Comput. Stat. Benjamin Hofner, Torsten Hothorn, Thomas Kneib
2012	J	`jnl`	Recursive partitioning on incomplete data using surrogate decisions and multiple imputation. Comput. Stat. Data Anal. Alexander Hapfelmeier, Torsten Hothorn, Kurt Ulm
2011	J	`jnl`	Case studies in reproducibility. Briefings Bioinform. Torsten Hothorn, Friedrich Leisch
2011	Misc	`conf`	Executable Papers for the R Community: The R2 Platform for Reproducible Research. ICCS Friedrich Leisch, Manuel J. A. Eugster, Torsten Hothorn
2010	J	`jnl`	Estimation and regularization techniques for regression models with multidimensional prediction functions. Stat. Comput. Matthias Schmid, Sergej Potapov, Annette B. Pfahlberg, Torsten Hothorn
2010	J	`jnl`	Model-based Boosting 2.0. J. Mach. Learn. Res. Torsten Hothorn, Peter Bühlmann, Thomas Kneib, Matthias Schmid, Benjamin Hofner
2010	J	`jnl`	Testing the additional predictive value of high-dimensional molecular data. BMC Bioinform. Anne-Laure Boulesteix, Torsten Hothorn
2010	J	`jnl`	Twin Boosting: improved feature selection and prediction. Stat. Comput. Peter Bühlmann, Torsten Hothorn
2009	J	`jnl`	New Numerical Algorithm for Multivariate Normal Probabilities in Package mvtnorm. R J. Xuefei Mi, Tetsuhisa Miwa, Torsten Hothorn
2009	J	`jnl`	Party on! R J. Carolin Strobl, Torsten Hothorn, Achim Zeileis
2008	J	`jnl`	Boosting additive models using component-wise P-Splines. Comput. Stat. Data Anal. Matthias Schmid, Torsten Hothorn
2008	J	`jnl`	Flexible boosting of accelerated failure time models. BMC Bioinform. Matthias Schmid, Torsten Hothorn
2007	J	`jnl`	Bias in random forest variable importance measures: Illustrations, sources and a solution. BMC Bioinform. Carolin Strobl, Anne-Laure Boulesteix, Achim Zeileis, Torsten Hothorn
2007	J	`jnl`	Comparison of performance between rigid and non-rigid software registering CT to FDG-PET. Int. J. Comput. Assist. Radiol. Surg. Gabriele Wolz, Anton Nömayr, Torsten Hothorn, Joachim Hornegger, Wolfgang Römer, Werner Bautz, Torsten Kuwert
2006	J	`jnl`	Model-based boosting in high dimensions. Bioinform. Torsten Hothorn, Peter Bühlmann
2005	J	`jnl`	Automated segmentation of the optic nerve head for diagnosis of glaucoma. Medical Image Anal. Radim Chrástek, Matthias Wolf, Klaus Donath, Heinrich Niemann, Dietrich Paulus, Torsten Hothorn, Berthold Lausen, Robert Lämmer, Christian Y. Mardin, Georg Michelson
2005	J	`jnl`	Bundling classifiers by bagging trees. Comput. Stat. Data Anal. Torsten Hothorn, Berthold Lausen
2005	J	`jnl`	Generalised indirect classifiers. Comput. Stat. Data Anal. A. Peters, Torsten Hothorn, Berthold Lausen
2003	—	`conf`	Automated Segmentation of the Optic Nerve Head for Glaucoma Diagnosis. Bildverarbeitung für die Medizin Radim Chrástek, Matthias Wolf, Klaus Donath, Heinrich Niemann, Torsten Hothorn, Berthold Lausen, Robert Lämmer, Christian Y. Mardin, Georg Michelson
2003	J	`jnl`	Bagging tree classifiers for laser scanning images: a data- and simulation-based strategy. Artif. Intell. Medicine Torsten Hothorn, Berthold Lausen
2003	—	`—`	Bundling classifiers with an application to glaucoma diagnosis. Torsten Hothorn
2003	J	`jnl`	Double-bagging: combining classifiers by bootstrap aggregation. Pattern Recognit. Torsten Hothorn, Berthold Lausen
2003	J	`jnl`	On the exact distribution of maximally selected rank statistics. Comput. Stat. Data Anal. Torsten Hothorn, Berthold Lausen
2002	—	`conf`	Bagging Tree Classifiers for Glaucoma Diagnosis. COMPSTAT Torsten Hothorn, Berthold Lausen
2002	—	`conf`	Exact Nonparametric Inference in R. COMPSTAT Torsten Hothorn, Kurt Hornik
2002	—	`conf`	StatDataML: An XML Format for Statistical Data. COMPSTAT David Meyer, Friedrich Leisch, Torsten Hothorn, Kurt Hornik