Martin G. Schultz

Orcid: 0000-0003-3455-774X

Affiliations:
  • Forschungszentrum Jülich GmbH, Germany


According to our database1, Martin G. Schultz authored at least 13 papers between 2002 and 2024.

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

Timeline

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Bibliography

2024
Mantik: A Workflow Platform for the Development of Artificial Intelligence on High-Performance Computing Infrastructures.
J. Open Source Softw., 2024

2023
Generating Views Using Atmospheric Correction for Contrastive Self-Supervised Learning of Multispectral Images.
IEEE Geosci. Remote. Sens. Lett., 2023

AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning.
CoRR, 2023

End-to-End Process Orchestration of Earth Observation Data Workflows with Apache Airflow on High Performance Computing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Multi-Modal Self-Supervised Learning for Boosting Crop Classification Using Sentinel2 and Planetscope.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Enabling Canonical Analysis Workflows Documented Data Harmonization on Global Air Quality Data.
Data Intell., 2022

HPC-oriented Canonical Workflows for Machine Learning Applications in Climate and Weather Prediction.
Data Intell., 2022

2021
Context aware benchmarking and tuning of a TByte-scale air quality database and web service.
Earth Sci. Informatics, 2021

JUWELS Booster - A Supercomputer for Large-Scale AI Research.
Proceedings of the High Performance Computing - ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24, 2021

2019
A New Tool for Automated Quality Control of Environmental Time Series (AutoQC4Env) in Open Web Services.
Proceedings of the Business Information Systems Workshops, 2019

2018
A Web Service Architecture for Objective Station Classification Purposes.
Proceedings of the 14th IEEE International Conference on e-Science, 2018

2014
Ten years of global burned area products from spaceborne remote sensing - A review: Analysis of user needs and recommendations for future developments.
Int. J. Appl. Earth Obs. Geoinformation, 2014

2002
Modeling chemical constituents of the atmosphere.
Comput. Sci. Eng., 2002


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