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ORCIDAndreas Mayr
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j19]Birgit Vogel-Heuser, Fandi Hartl, Moritz Wittemer, Jingyun Zhao, Andreas Mayr, Martin Fleischer, Theresa Prinz, Anne Fischer, Jakob Trauer, Philipp Schroeder, Ann-Kathrin Goldbach, Florian Rothmeyer, Markus Zimmermann, Kai-Uwe Bletzinger, Johannes Fottner, Rüdiger Daub, Klaus Bengler, André Borrmann, Michael F. Zaeh, Katrin Wudy:
Long living human-machine systems in construction and production enabled by digital twins: Exploring applications, challenges, and pathways to sustainability. Autom. 72(9): 789-814 (2024)- [c9]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 - [c8]Emese Sükei, Elisabeth Rumetshofer, Niklas Schmidinger, Andreas Mayr, Ursula Schmidt-Erfurth, Günter Klambauer, Hrvoje Bogunovic:
Improving Clinical Predictions with Multi-Modal Pre-training in Retinal Imaging. ISBI 2024: 1-5 - [i13]Lisa Schneckenreiter, Richard Freinschlag, Florian Sestak, Johannes Brandstetter, Günter Klambauer, Andreas Mayr:
GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks. CoRR abs/2403.04747 (2024) - [i12]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 abs/2404.07194 (2024) - [i11]Chiara Balestra, Andreas Mayr, Emmanuel Müller:
Ranking evaluation metrics from a group-theoretic perspective. CoRR abs/2408.16009 (2024) - 2023
- [c7]Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, Sepp Hochreiter, Johannes Brandstetter:
Boundary Graph Neural Networks for 3D Simulations. AAAI 2023: 9099-9107 - [i10]Chiara Balestra, Carlo Maj, Emmanuel Müller, Andreas Mayr:
Redundancy-aware unsupervised rankings for collections of gene sets. CoRR abs/2307.16182 (2023) - 2022
- [j18]Karl Wolf, Andreas Mayr, Marco Nagiller, Leopold Saltuari, Matthias Harders, Yeongmi Kim:
PoRi device: portable hand assessment and rehabilitation after stroke. Autom. 70(11): 1003-1017 (2022) - [c6]Chiara Balestra, Florian Huber, Andreas Mayr
, Emmanuel Müller:
Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data. DaWaK 2022: 97-111 - [i9]Chiara Balestra, Florian Huber, Andreas Mayr, Emmanuel Müller:
Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data. CoRR abs/2205.09060 (2022) - [i8]Chiara Balestra, Carlo Maj, Emmanuel Müller, Andreas Mayr:
Redundancy-aware unsupervised ranking based on game theory - application to gene enrichment analysis. CoRR abs/2207.12184 (2022) - 2021
- [j17]Christian Staerk, Andreas Mayr:
Randomized boosting with multivariable base-learners for high-dimensional variable selection and prediction. BMC Bioinform. 22(1): 441 (2021) - [j16]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): 1485-1495 (2021) - [i7]Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, Sepp Hochreiter, Johannes Brandstetter:
Learning 3D Granular Flow Simulations. CoRR abs/2105.01636 (2021) - [i6]Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, Sepp Hochreiter, Johannes Brandstetter:
Boundary Graph Neural Networks for 3D Simulations. CoRR abs/2106.11299 (2021) - 2020
- [j15]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): 524 (2020) - [j14]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): 26 (2020) - [j13]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: 100040 (2020) - [c5]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: 432-440 - [i5]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 abs/2004.00979 (2020) - [i4]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 abs/2010.06498 (2020)
2010 – 2019
- 2019
- [j12]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): 962-972 (2019) - [c4]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: 204-211 - 2018
- [j11]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: 2430438:1 (2018) - [j10]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): 673-687 (2018) - 2017
- [j9]Janek Thomas, Tobias Hepp, Andreas Mayr, Bernd Bischl:
Probing for Sparse and Fast Variable Selection with Model-Based Boosting. Comput. Math. Methods Medicine 2017: 1421409:1-1421409:8 (2017) - [j8]Olaf Gefeller, Benjamin Hofner, Andreas Mayr, Elisabeth Waldmann:
Predictive Modelling Based on Statistical Learning in Biomedicine. Comput. Math. Methods Medicine 2017: 4041736:1-4041736:3 (2017) - [j7]Andreas Mayr, Benjamin Hofner, Elisabeth Waldmann, Tobias Hepp, Sebastian Meyer, Olaf Gefeller:
An Update on Statistical Boosting in Biomedicine. Comput. Math. Methods Medicine 2017: 6083072:1-6083072:12 (2017) - [c3]Günter Klambauer, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter:
Self-Normalizing Neural Networks. NIPS 2017: 971-980 - [i3]Günter Klambauer, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter:
Self-Normalizing Neural Networks. CoRR abs/1706.02515 (2017) - 2016
- [j6]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: 288 (2016) - [j5]Magnus Bremer, Andreas Mayr, Volker Wichmann, Korbinian Schmidtner, Martin Rutzinger:
A new multi-scale 3D-GIS-approach for the assessment and dissemination of solar income of digital city models. Comput. Environ. Urban Syst. 57: 144-154 (2016) - 2015
- [j4]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): 3392-3394 (2015) - [c2]Djork-Arné Clevert, Andreas Mayr, Thomas Unterthiner, Sepp Hochreiter:
Rectified Factor Networks. NIPS 2015: 1855-1863 - [i2]Djork-Arné Clevert, Thomas Unterthiner, Andreas Mayr, Hubert Ramsauer, Sepp Hochreiter:
Rectified Factor Networks. CoRR abs/1502.06464 (2015) - [i1]Thomas Unterthiner, Andreas Mayr, Günter Klambauer, Sepp Hochreiter:
Toxicity Prediction using Deep Learning. CoRR abs/1503.01445 (2015) - 2014
- [j3]Marc Streit, Samuel Gratzl, Michael Gillhofer, Andreas Mayr, Andreas Mitterecker, Sepp Hochreiter:
Furby: fuzzy force-directed bicluster visualization. BMC Bioinform. 15(S-6): S4 (2014) - [j2]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): 3-35 (2014) - 2011
- [c1]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: 327-334 - 2010
- [j1]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): 1520-1527 (2010)
Coauthor Index
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last updated on 2024-10-08 20:33 CEST by the dblp team
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