Anton Schwaighofer

Orcid: 0000-0003-1557-0527

According to our database1, Anton Schwaighofer authored at least 26 papers between 2001 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology.
CoRR, 2024

RAD-DINO: Exploring Scalable Medical Image Encoders Beyond Text Supervision.
CoRR, 2024

2023
MAIRA-1: A specialised large multimodal model for radiology report generation.
CoRR, 2023


Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Active label cleaning: Improving dataset quality under resource constraints.
CoRR, 2021

Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs.
CoRR, 2021

2013
Query clustering based on bid landscape for sponsored search auction optimization.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012
Budget Optimization for Sponsored Search: Censored Learning in MDPs.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

2009
Scalable clustering and keyword suggestion for online advertisements.
Proceedings of the 3rd ACM SIGKDD Workshop on Data Mining and Audience Intelligence for Advertising, 2009

2008
A Probabilistic Approach to Classifying Metabolic Stability.
J. Chem. Inf. Model., 2008

2007
Accurate Solubility Prediction with Error Bars for Electrolytes: A Machine Learning Approach.
J. Chem. Inf. Model., 2007

Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery molecules.
J. Comput. Aided Mol. Des., 2007

Structure Learning with Nonparametric Decomposable Models.
Proceedings of the Artificial Neural Networks, 2007

2005
Learning Gaussian processes from multiple tasks.
Proceedings of the Machine Learning, 2005

2004
Probabilistic Memory-Based Collaborative Filtering.
IEEE Trans. Knowl. Data Eng., 2004

Learning Gaussian Process Kernels via Hierarchical Bayes.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2003
Classification of rheumatoid joint inflammation based on laser imaging.
IEEE Trans. Biomed. Eng., 2003

Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes.
Proceedings of the UAI '03, 2003

GPPS: A Gaussian Process Positioning System for Cellular Networks.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002
The RA Scanner: Prediction of Rheumatoid Joint Inflammation Based on Laser Imaging.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Transductive and Inductive Methods for Approximate Gaussian Process Regression.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Removing redundancy and inconsistency in memory-based collaborative filtering.
Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management, 2002

2001
Scalable Kernel Systems.
Proceedings of the Artificial Neural Networks, 2001

The Bayesian Committee Support Vector Machine.
Proceedings of the Artificial Neural Networks, 2001


  Loading...