Andreas Mayr

Orcid: 0000-0003-1479-9450

According to our database1, Andreas Mayr authored at least 37 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Long living human-machine systems in construction and production enabled by digital twins: Exploring applications, challenges, and pathways to sustainability.
Autom., September, 2024

Ranking evaluation metrics from a group-theoretic perspective.
CoRR, 2024

VN-EGNN: E(3)-Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification.
CoRR, 2024

Improving Clinical Predictions with Multi-Modal Pre-training in Retinal Imaging.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

2023
Redundancy-aware unsupervised rankings for collections of gene sets.
CoRR, 2023

Boundary Graph Neural Networks for 3D Simulations.
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.
CoRR, 2022

PoRi device: portable hand assessment and rehabilitation after stroke.
Autom., 2022

Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2022

2021
In-situ identification of material batches using machine learning for machining operations.
J. Intell. Manuf., 2021

Learning 3D Granular Flow Simulations.
CoRR, 2021

Randomized boosting with multivariable base-learners for high-dimensional variable selection and prediction.
BMC Bioinform., 2021

2020
RefCurv: A software for the construction of pediatric reference curves.
Softw. Impacts, 2020

Industry-scale application and evaluation of deep learning for drug target prediction.
J. Cheminformatics, 2020

Cross-Domain Few-Shot Learning by Representation Fusion.
CoRR, 2020

Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors using deep neural networks.
CoRR, 2020

Latent class distributional regression for the estimation of non-linear reference limits from contaminated data sources.
BMC Bioinform., 2020

ForeSight - An AI-driven Smart Living Platform, Approach to Add Access Control to openHAB.
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.
J. Chem. Inf. Model., 2019

ForeSight - Platform Approach for Enabling AI-based Services for Smart Living.
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.
Stat. Comput., 2018

Corrigendum to "Probing for Sparse and Fast Variable Selection with Model-Based Boosting".
Comput. Math. Methods Medicine, 2018

2017
Probing for Sparse and Fast Variable Selection with Model-Based Boosting.
Comput. Math. Methods Medicine, 2017

An Update on Statistical Boosting in Biomedicine.
Comput. Math. Methods Medicine, 2017

Predictive Modelling Based on Statistical Learning in Biomedicine.
Comput. Math. Methods Medicine, 2017

Self-Normalizing Neural Networks.
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.
Comput. Environ. Urban Syst., 2016

Boosting the discriminatory power of sparse survival models via optimization of the concordance index and stability selection.
BMC Bioinform., 2016

2015
Toxicity Prediction using Deep Learning.
CoRR, 2015

Rectified Factor Networks.
CoRR, 2015

Rchemcpp: a web service for structural analoging in ChEMBL, Drugbank and the Connectivity Map.
Bioinform., 2015

Rectified Factor Networks.
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.
Comput. Stat., 2014

Furby: fuzzy force-directed bicluster visualization.
BMC Bioinform., 2014

2011
Combination and Comparison of Different Genetic Encodings for the Vehicle Routing Problem.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011

2010
FABIA: factor analysis for bicluster acquisition.
Bioinform., 2010


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