Andreas Mayr

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 29

Top Topics

Variable Selection

Machine Learning

Top Venues

Comput. Math. Methods Medicine

Publications

Lisa Schneckenreiter, Richard Freinschlag, Florian Sestak, Johannes Brandstetter, Günter Klambauer, Andreas Mayr
GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks. Tiny Papers @ ICLR (2024)
Florian Sestak, Lisa Schneckenreiter, Johannes Brandstetter, Sepp Hochreiter, Andreas Mayr, Günter Klambauer
VN-EGNN: E(3)-Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification. CoRR (2024)
Lisa Schneckenreiter, Richard Freinschlag, Florian Sestak, Johannes Brandstetter, Günter Klambauer, Andreas Mayr
GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks. CoRR (2024)
Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, Sepp Hochreiter, Johannes Brandstetter
Boundary Graph Neural Networks for 3D Simulations. AAAI (2023)
Chiara Balestra, Carlo Maj, Emmanuel Müller, Andreas Mayr
Redundancy-aware unsupervised rankings for collections of gene sets. CoRR (2023)
Chiara Balestra, Carlo Maj, Emmanuel Müller, Andreas Mayr
Redundancy-aware unsupervised ranking based on game theory - application to gene enrichment analysis. CoRR (2022)
Chiara Balestra, Florian Huber, Andreas Mayr, Emmanuel Müller
Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data. CoRR (2022)
Karl Wolf, Andreas Mayr, Marco Nagiller, Leopold Saltuari, Matthias Harders, Yeongmi Kim
PoRi device: portable hand assessment and rehabilitation after stroke. Autom. 70 (11) (2022)
Chiara Balestra, Florian Huber, Andreas Mayr, Emmanuel Müller
Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data. DaWaK (2022)
Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, Sepp Hochreiter, Johannes Brandstetter
Learning 3D Granular Flow Simulations. CoRR (2021)
Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, Sepp Hochreiter, Johannes Brandstetter
Boundary Graph Neural Networks for 3D Simulations. CoRR (2021)
Benjamin Lutz, Dominik Kißkalt, Andreas Mayr, Daniel Regulin, Matteo Pantano, Jörg Franke
In-situ identification of material batches using machine learning for machining operations. J. Intell. Manuf. 32 (5) (2021)
Christian Staerk, Andreas Mayr
Randomized boosting with multivariable base-learners for high-dimensional variable selection and prediction. BMC Bioinform. 22 (1) (2021)
Tobias Hepp, Jakob Zierk, Manfred Rauh, Markus Metzler, Andreas Mayr
Latent class distributional regression for the estimation of non-linear reference limits from contaminated data sources. BMC Bioinform. 21 (1) (2020)
Jochen Bauer, Michael Hechtel, Christoph Konrad, Martin Holzwarth, Hilko Hoffmann, Thomas Feld, Sven Schneider, Ingo Zinnikus, Andreas Mayr, Jörg Franke
ForeSight - An AI-driven Smart Living Platform, Approach to Add Access Control to openHAB. ICOST (2020)
Markus Hofmarcher, Andreas Mayr, Elisabeth Rumetshofer, Peter Ruch, Philipp Renz, Johannes Schimunek, Philipp Seidl, Andreu Vall, Michael Widrich, Sepp Hochreiter, Günter Klambauer
Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors using deep neural networks. CoRR (2020)
Noé Sturm, Andreas Mayr, Thanh Le Van, Vladimir I. Chupakhin, Hugo Ceulemans, Jörg K. Wegner, José Felipe Golib Dzib, Nina Jeliazkova, Yves Vandriessche, Stanislav Böhm, Vojtech Cima, Jan Martinovic, Nigel Greene, Tom Vander Aa, Thomas J. Ashby, Sepp Hochreiter, Ola Engkvist, Günter Klambauer, Hongming Chen
Industry-scale application and evaluation of deep learning for drug target prediction. J. Cheminformatics 12 (1) (2020)
Christian Winkler, Katharina Linden, Andreas Mayr, Thomas Schultz, Thomas Welchowski, Johannes Breuer, Ulrike Herberg
RefCurv: A software for the construction of pediatric reference curves. Softw. Impacts 6 (2020)
Thomas Adler, Johannes Brandstetter, Michael Widrich, Andreas Mayr, David P. Kreil, Michael Kopp, Günter Klambauer, Sepp Hochreiter
Cross-Domain Few-Shot Learning by Representation Fusion. CoRR (2020)
Noé Sturm, Jiangming Sun, Yves Vandriessche, Andreas Mayr, Günter Klambauer, Lars Carlsson, Ola Engkvist, Hongming Chen
Application of Bioactivity Profile-Based Fingerprints for Building Machine Learning Models. J. Chem. Inf. Model. 59 (3) (2019)
Jochen Bauer, Hilko Hoffmann, Thomas Feld, Mathias Runge, Oliver Hinz, Andreas Mayr, Kristina Förster, Franz Teske, Franziska Schäfer, Christoph Konrad, Jörg Franke
ForeSight - Platform Approach for Enabling AI-based Services for Smart Living. ICOST (2019)
Janek Thomas, Andreas Mayr, Bernd Bischl, Matthias Schmid, Adam Smith, Benjamin Hofner
Gradient boosting for distributional regression: faster tuning and improved variable selection via noncyclical updates. Stat. Comput. 28 (3) (2018)
Janek Thomas, Tobias Hepp, Andreas Mayr, Bernd Bischl
Corrigendum to "Probing for Sparse and Fast Variable Selection with Model-Based Boosting". Comput. Math. Methods Medicine 2018 (2018)
Andreas Mayr, Benjamin Hofner, Elisabeth Waldmann, Tobias Hepp, Sebastian Meyer, Olaf Gefeller
An Update on Statistical Boosting in Biomedicine. Comput. Math. Methods Medicine 2017 (2017)
Janek Thomas, Tobias Hepp, Andreas Mayr, Bernd Bischl
Probing for Sparse and Fast Variable Selection with Model-Based Boosting. Comput. Math. Methods Medicine 2017 (2017)
Günter Klambauer, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter
Self-Normalizing Neural Networks. CoRR (2017)
Olaf Gefeller, Benjamin Hofner, Andreas Mayr, Elisabeth Waldmann
Predictive Modelling Based on Statistical Learning in Biomedicine. Comput. Math. Methods Medicine 2017 (2017)
Günter Klambauer, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter
Self-Normalizing Neural Networks. NIPS (2017)
Andreas Mayr, Benjamin Hofner, Matthias Schmid
Boosting the discriminatory power of sparse survival models via optimization of the concordance index and stability selection. BMC Bioinform. 17 (2016)
Thomas Unterthiner, Andreas Mayr, Günter Klambauer, Sepp Hochreiter
Toxicity Prediction using Deep Learning. CoRR (2015)
Günter Klambauer, Martin Wischenbart, Michael Mahr, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter
Rchemcpp: a web service for structural analoging in ChEMBL, Drugbank and the Connectivity Map. Bioinform. 31 (20) (2015)
Djork-Arné Clevert, Thomas Unterthiner, Andreas Mayr, Hubert Ramsauer, Sepp Hochreiter
Rectified Factor Networks. CoRR (2015)
Djork-Arné Clevert, Andreas Mayr, Thomas Unterthiner, Sepp Hochreiter
Rectified Factor Networks. NIPS (2015)
Marc Streit, Samuel Gratzl, Michael Gillhofer, Andreas Mayr, Andreas Mitterecker, Sepp Hochreiter
Furby: fuzzy force-directed bicluster visualization. BMC Bioinform. 15 (S-6) (2014)
Benjamin Hofner, Andreas Mayr, Nikolay Robinzonov, Matthias Schmid
Model-based boosting in R: a hands-on tutorial using the R package mboost. Comput. Stat. 29 (1) (2014)
Stefan Vonolfen, Andreas Beham, Michael Affenzeller, Stefan Wagner, Andreas Mayr
Combination and Comparison of Different Genetic Encodings for the Vehicle Routing Problem. EUROCAST (1) (2011)
Sepp Hochreiter, Ulrich Bodenhofer, Martin Heusel, Andreas Mayr, Andreas Mitterecker, Adetayo Kasim, Tatsiana Khamiakova, Suzy Van Sanden, Dan Lin, Willem Talloen, Luc Bijnens, Hinrich W. H. Göhlmann, Ziv Shkedy, Djork-Arné Clevert
FABIA: factor analysis for bicluster acquisition. Bioinform. 26 (12) (2010)