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ORCIDMartin G. Schultz
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- affiliation: Forschungszentrum Jülich GmbH, Germany
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2020 – today
- 2024
[j7]Thomas Seidler, Fabian Emmerich
, Kristian Ehlert, Rico Berner, Oliver Nagel-Kanzler, Norbert Schultz, Markus Quade, Martin G. Schultz, Markus Abel:
Mantik: A Workflow Platform for the Development of Artificial Intelligence on High-Performance Computing Infrastructures. J. Open Source Softw. 9(98): 6136 (2024)- 2023
- [j6]Ankit Patnala, Scarlet Stadtler, Martin G. Schultz, Juergen Gall:
Generating Views Using Atmospheric Correction for Contrastive Self-Supervised Learning of Multispectral Images. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [c5]Liang Tian, Rocco Sedona, Amirpasha Mozaffari, Enxhi Kreshpa, Claudia Paris, Morris Riedel, Martin G. Schultz, Gabriele Cavallaro:
End-to-End Process Orchestration of Earth Observation Data Workflows with Apache Airflow on High Performance Computing. IGARSS 2023: 711-714 - [c4]Ankit Patnala, Scarlet Stadtler, Martin G. Schultz, Juergen Gall:
Multi-Modal Self-Supervised Learning for Boosting Crop Classification Using Sentinel2 and Planetscope. IGARSS 2023: 2223-2226 - [i2]Christian Lessig, Ilaria Luise, Bing Gong, Michael Langguth, Scarlet Stadtler, Martin G. Schultz:
AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning. CoRR abs/2308.13280 (2023) - 2022
- [j5]Sabine Schröder, Eleonora Epp, Amirpasha Mozaffari, Mathilde Romberg, Niklas Selke, Martin G. Schultz:
Enabling Canonical Analysis Workflows Documented Data Harmonization on Global Air Quality Data. Data Intell. 4(2): 259-270 (2022) - [j4]Amirpasha Mozaffari, Michael Langguth, Bing Gong, Jessica Ahring, Adrian Rojas Campos, Pascal Nieters, Otoniel José Campos Escobar, Martin Wittenbrink, Peter Baumann, Martin G. Schultz:
HPC-oriented Canonical Workflows for Machine Learning Applications in Climate and Weather Prediction. Data Intell. 4(2): 271-285 (2022) - 2021
- [j3]Clara Betancourt, Björn Hagemeier, Sabine Schröder, Martin G. Schultz:
Context aware benchmarking and tuning of a TByte-scale air quality database and web service. Earth Sci. Informatics 14(3): 1597-1607 (2021) - [c3]Stefan Kesselheim, Andreas Herten, Kai Krajsek, Jan Ebert, Jenia Jitsev, Mehdi Cherti, Michael Langguth, Bing Gong, Scarlet Stadtler, Amirpasha Mozaffari, Gabriele Cavallaro, Rocco Sedona, Alexander Schug, Alexandre Strube, Roshni Kamath, Martin G. Schultz, Morris Riedel, Thomas Lippert:
JUWELS Booster - A Supercomputer for Large-Scale AI Research. ISC Workshops 2021: 453-468 - [i1]Stefan Kesselheim, Andreas Herten, Kai Krajsek, Jan Ebert, Jenia Jitsev, Mehdi Cherti, Michael Langguth, Bing Gong, Scarlet Stadtler, Amirpasha Mozaffari, Gabriele Cavallaro, Rocco Sedona, Alexander Schug, Alexandre Strube, Roshni Kamath, Martin G. Schultz, Morris Riedel, Thomas Lippert:
JUWELS Booster - A Supercomputer for Large-Scale AI Research. CoRR abs/2108.11976 (2021)
2010 – 2019
- 2019
- [c2]Najmeh Kaffashzadeh, Felix Kleinert, Martin G. Schultz:
A New Tool for Automated Quality Control of Environmental Time Series (AutoQC4Env) in Open Web Services. BIS (Workshops) 2019: 513-518 - 2018
- [c1]Martin G. Schultz, Sander Apweiler, Jan Vogelsang, Björn Hagemeier, Felix Kleinert, Daniel Mallmann:
A Web Service Architecture for Objective Station Classification Purposes. eScience 2018: 283-284 - 2014
- [j2]Florent Mouillot, Martin G. Schultz, Chao Yue, Patricia Cadule, Kevin Tansey, Philippe Ciais, Emilio Chuvieco:
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 26: 64-79 (2014)
2000 – 2009
- 2002
- [j1]Johann Feichter, Martin G. Schultz, Thomas Diehl:
Modeling chemical constituents of the atmosphere. Comput. Sci. Eng. 4(5): 56-63 (2002)
Coauthor Index
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