Andreas Mayr

Orcid: 0000-0003-1479-9450

According to our database¹, Andreas Mayr authored at least 33 papers between 2010 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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On csauthors.net:

Bibliography

2024

GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks.

[BibT_eX]

[DOI]

Lisa Schneckenreiter

Richard Freinschlag

Florian Sestak

Johannes Brandstetter

Günter Klambauer

Andreas Mayr

CoRR, 2024

2023

Redundancy-aware unsupervised rankings for collections of gene sets.

[BibT_eX]

[DOI]

CoRR, 2023

Boundary Graph Neural Networks for 3D Simulations.

[BibT_eX]

[DOI]

Johannes Brandstetter

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Redundancy-aware unsupervised ranking based on game theory - application to gene enrichment analysis.

[BibT_eX]

[DOI]

CoRR, 2022

PoRi device: portable hand assessment and rehabilitation after stroke.

[BibT_eX]

[DOI]

Autom., 2022

Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data.

[BibT_eX]

[DOI]

Proceedings of the Big Data Analytics and Knowledge Discovery, 2022

2021

In-situ identification of material batches using machine learning for machining operations.

[BibT_eX]

[DOI]

J. Intell. Manuf., 2021

Learning 3D Granular Flow Simulations.

[BibT_eX]

[DOI]

Johannes Brandstetter

CoRR, 2021

Randomized boosting with multivariable base-learners for high-dimensional variable selection and prediction.

[BibT_eX]

[DOI]

Christian Staerk

Andreas Mayr

BMC Bioinform., 2021

2020

RefCurv: A software for the construction of pediatric reference curves.

[BibT_eX]

[DOI]

Softw. Impacts, 2020

Industry-scale application and evaluation of deep learning for drug target prediction.

[BibT_eX]

[DOI]

Noé Sturm

Andreas Mayr

Thanh Le Van

Vladimir I. Chupakhin

Hugo Ceulemans

Jörg K. Wegner

José Felipe Golib Dzib

J. Cheminformatics, 2020

Cross-Domain Few-Shot Learning by Representation Fusion.

[BibT_eX]

[DOI]

Thomas Adler

Johannes Brandstetter

CoRR, 2020

Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors using deep neural networks.

[BibT_eX]

[DOI]

Markus Hofmarcher

Andreas Mayr

Elisabeth Rumetshofer

CoRR, 2020

Latent class distributional regression for the estimation of non-linear reference limits from contaminated data sources.

[BibT_eX]

[DOI]

BMC Bioinform., 2020

ForeSight - An AI-driven Smart Living Platform, Approach to Add Access Control to openHAB.

[BibT_eX]

[DOI]

Proceedings of the Impact of Digital Technologies on Public Health in Developed and Developing Countries, 2020

2019

Application of Bioactivity Profile-Based Fingerprints for Building Machine Learning Models.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2019

ForeSight - Platform Approach for Enabling AI-based Services for Smart Living.

[BibT_eX]

[DOI]

Proceedings of the How AI Impacts Urban Living and Public Health, 2019

2018

Gradient boosting for distributional regression: faster tuning and improved variable selection via noncyclical updates.

[BibT_eX]

[DOI]

Stat. Comput., 2018

Corrigendum to "Probing for Sparse and Fast Variable Selection with Model-Based Boosting".

[BibT_eX]

[DOI]

Comput. Math. Methods Medicine, 2018

2017

Probing for Sparse and Fast Variable Selection with Model-Based Boosting.

[BibT_eX]

[DOI]

Comput. Math. Methods Medicine, 2017

An Update on Statistical Boosting in Biomedicine.

[BibT_eX]

[DOI]

Comput. Math. Methods Medicine, 2017

Predictive Modelling Based on Statistical Learning in Biomedicine.

[BibT_eX]

[DOI]

Comput. Math. Methods Medicine, 2017

Self-Normalizing Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

A new multi-scale 3D-GIS-approach for the assessment and dissemination of solar income of digital city models.

[BibT_eX]

[DOI]

Comput. Environ. Urban Syst., 2016

Boosting the discriminatory power of sparse survival models via optimization of the concordance index and stability selection.

[BibT_eX]

[DOI]

Andreas Mayr

Benjamin Hofner

Matthias Schmid

BMC Bioinform., 2016

2015

Toxicity Prediction using Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2015

Rectified Factor Networks.

[BibT_eX]

[DOI]

CoRR, 2015

Rchemcpp: a web service for structural analoging in ChEMBL, Drugbank and the Connectivity Map.

[BibT_eX]

[DOI]

Bioinform., 2015

Rectified Factor Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Model-based boosting in R: a hands-on tutorial using the R package mboost.

[BibT_eX]

[DOI]

Comput. Stat., 2014

Furby: fuzzy force-directed bicluster visualization.

[BibT_eX]

[DOI]

BMC Bioinform., 2014

2011

Combination and Comparison of Different Genetic Encodings for the Vehicle Routing Problem.

[BibT_eX]

[DOI]

Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011

2010

FABIA: factor analysis for bicluster acquisition.

[BibT_eX]

[DOI]

Hinrich W. H. Göhlmann

Ziv Shkedy

Djork-Arné Clevert

Bioinform., 2010

Andreas Mayr

Timeline

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