Peter Steinbach

Orcid: 0000-0002-4974-230X

According to our database1, Peter Steinbach authored at least 15 papers between 2015 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Uncertainty Estimation in Instance Segmentation with Star-convex Shapes.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Providing AI expertise as an infrastructure in academia.
Patterns, August, 2023

2022
Detecting Adversarial Examples in Batches - a geometrical approach.
CoRR, 2022

Recommendations on test datasets for evaluating AI solutions in pathology.
CoRR, 2022

Machine Learning State-of-the-Art with Uncertainties.
CoRR, 2022

Will the sun shine? - An accessible dataset for teaching machine learning and deep learning.
Proceedings of the Third Teaching Machine Learning and Artificial Intelligence Workshop, 2022

2021
Teaching ML in 2021 - An Overview and Introduction.
Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, 2021

A Hybrid Radiomics Approach to Modeling Progression-Free Survival in Head and Neck Cancers.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021

Motivation und Konzept zur boden- und luftgestützten Detektion von Virosen in der Pflanzgutproduktion von Stärkekartoffeln.
Proceedings of the 41. GIL-Jahrestagung, 2021

2020
Teaching Machine Learning in 2020.
Proceedings of the First Teaching Machine Learning and Artificial Intelligence Workshop, 2020

2018
Porting the MPI-parallelised LES model PALM to multi-GPU systems and many integrated core processors - an experience report.
Int. J. Comput. Sci. Eng., 2018

2017
gearshifft - The FFT Benchmark Suite for Heterogeneous Platforms.
Proceedings of the High Performance Computing - 32nd International Conference, 2017

2016
An automated workflow for parallel processing of large multiview SPIM recordings.
Bioinform., 2016

Porting the MPI Parallelized LES Model PALM to Multi-GPU Systems - An Experience Report.
Proceedings of the High Performance Computing, 2016

2015
How do particle physicists learn the programming concepts they need?
CoRR, 2015


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