Andreas Mayr

18 papers B 1Journal 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Robust gradient boosting for generalized additive models for location, scale and shape.
Adv. Data Anal. Classif.
Jan Speller, Christian Staerk, Francisco Gude, Andreas Mayr
2025 J jnl
A balanced statistical boosting approach for GAMLSS via new step lengths.
Comput. Stat.
Alexandra Daub, Andreas Mayr, Boyao Zhang, Elisabeth Bergherr
2024 J jnl
Ranking evaluation metrics from a group-theoretic perspective.
CoRR
Chiara Balestra, Andreas Mayr, Emmanuel Müller
2023 J jnl
Redundancy-aware unsupervised rankings for collections of gene sets.
CoRR
Chiara Balestra, Carlo Maj, Emmanuel Müller, Andreas Mayr
2022 J jnl
GenRisk: a tool for comprehensive genetic risk modeling.
Bioinform.
Rana Aldisi, Emadeldin Hassanin, Sugirthan Sivalingam, Andreas Buness, Hannah Klinkhammer, Andreas Mayr, Holger Fröhlich, Peter M. Krawitz, Carlo Maj
2022 J jnl
Redundancy-aware unsupervised ranking based on game theory - application to gene enrichment analysis.
CoRR
Chiara Balestra, Carlo Maj, Emmanuel Müller, Andreas Mayr
2022 B conf
Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data.
DaWaK
Chiara Balestra, Florian Huber, Andreas Mayr, Emmanuel Müller
2022 J jnl
Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data.
CoRR
Chiara Balestra, Florian Huber, Andreas Mayr, Emmanuel Müller
2021 J jnl
Randomized boosting with multivariable base-learners for high-dimensional variable selection and prediction.
BMC Bioinform.
Christian Staerk, Andreas Mayr
2020 J jnl
Latent class distributional regression for the estimation of non-linear reference limits from contaminated data sources.
BMC Bioinform.
Tobias Hepp, Jakob Zierk, Manfred Rauh, Markus Metzler, Andreas Mayr
2020 J jnl
RefCurv: A software for the construction of pediatric reference curves.
Softw. Impacts
Christian Winkler, Katharina Linden, Andreas Mayr, Thomas Schultz, Thomas Welchowski, Johannes Breuer, Ulrike Herberg
2018 J jnl
Corrigendum to "Probing for Sparse and Fast Variable Selection with Model-Based Boosting".
Comput. Math. Methods Medicine
Janek Thomas, Tobias Hepp, Andreas Mayr, Bernd Bischl
2018 J jnl
Gradient boosting for distributional regression: faster tuning and improved variable selection via noncyclical updates.
Stat. Comput.
Janek Thomas, Andreas Mayr, Bernd Bischl, Matthias Schmid, Adam Smith, Benjamin Hofner
2017 J jnl
An Update on Statistical Boosting in Biomedicine.
Comput. Math. Methods Medicine
Andreas Mayr, Benjamin Hofner, Elisabeth Waldmann, Tobias Hepp, Sebastian Meyer, Olaf Gefeller
2017 J jnl
Predictive Modelling Based on Statistical Learning in Biomedicine.
Comput. Math. Methods Medicine
Olaf Gefeller, Benjamin Hofner, Andreas Mayr, Elisabeth Waldmann
2017 J jnl
Probing for Sparse and Fast Variable Selection with Model-Based Boosting.
Comput. Math. Methods Medicine
Janek Thomas, Tobias Hepp, Andreas Mayr, Bernd Bischl
2016 J jnl
Boosting the discriminatory power of sparse survival models via optimization of the concordance index and stability selection.
BMC Bioinform.
Andreas Mayr, Benjamin Hofner, Matthias Schmid
2014 J jnl
Model-based boosting in R: a hands-on tutorial using the R package mboost.
Comput. Stat.
Benjamin Hofner, Andreas Mayr, Nikolay Robinzonov, Matthias Schmid