Martin G. Schultz

14 papers C 2Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2024 J jnl
Mantik: A Workflow Platform for the Development of Artificial Intelligence on High-Performance Computing Infrastructures.
J. Open Source Softw.
Thomas Seidler, Fabian Emmerich, Kristian Ehlert, Rico Berner, Oliver Nagel-Kanzler, Norbert Schultz, Markus Quade, Martin G. Schultz, Markus Abel
2023 J jnl
AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning.
CoRR
Christian Lessig, Ilaria Luise, Bing Gong, Michael Langguth, Scarlet Stadtler, Martin G. Schultz
2023 C conf
End-to-End Process Orchestration of Earth Observation Data Workflows with Apache Airflow on High Performance Computing.
IGARSS
Liang Tian, Rocco Sedona, Amirpasha Mozaffari, Enxhi Kreshpa, Claudia Paris, Morris Riedel, Martin G. Schultz, Gabriele Cavallaro
2023 J jnl
Generating Views Using Atmospheric Correction for Contrastive Self-Supervised Learning of Multispectral Images.
IEEE Geosci. Remote. Sens. Lett.
Ankit Patnala, Scarlet Stadtler, Martin G. Schultz, Juergen Gall
2023 C conf
Multi-Modal Self-Supervised Learning for Boosting Crop Classification Using Sentinel2 and Planetscope.
IGARSS
Ankit Patnala, Scarlet Stadtler, Martin G. Schultz, Juergen Gall
2022 J jnl
Enabling Canonical Analysis Workflows Documented Data Harmonization on Global Air Quality Data.
Data Intell.
Sabine Schröder, Eleonora Epp, Amirpasha Mozaffari, Mathilde Romberg, Niklas Selke, Martin G. Schultz
2022 J jnl
HPC-oriented Canonical Workflows for Machine Learning Applications in Climate and Weather Prediction.
Data Intell.
Amirpasha Mozaffari, Michael Langguth, Bing Gong, Jessica Ahring, Adrian Rojas Campos, Pascal Nieters, Otoniel José Campos Escobar, Martin Wittenbrink, Peter Baumann, Martin G. Schultz
2021 J jnl
Context aware benchmarking and tuning of a TByte-scale air quality database and web service.
Earth Sci. Informatics
Clara Betancourt, Björn Hagemeier, Sabine Schröder, Martin G. Schultz
2021 — conf
JUWELS Booster - A Supercomputer for Large-Scale AI Research.
ISC Workshops
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
2021 J jnl
JUWELS Booster - A Supercomputer for Large-Scale AI Research.
CoRR
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
2019 — conf
A New Tool for Automated Quality Control of Environmental Time Series (AutoQC4Env) in Open Web Services.
BIS (Workshops)
Najmeh Kaffashzadeh, Felix Kleinert, Martin G. Schultz
2018 — conf
A Web Service Architecture for Objective Station Classification Purposes.
eScience
Martin G. Schultz, Sander Apweiler, Jan Vogelsang, Björn Hagemeier, Felix Kleinert, Daniel Mallmann
2014 J jnl
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
Florent Mouillot, Martin G. Schultz, Chao Yue, Patricia Cadule, Kevin Tansey, Philippe Ciais, Emilio Chuvieco
2002 J jnl
Modeling chemical constituents of the atmosphere.
Comput. Sci. Eng.
Johann Feichter, Martin G. Schultz, Thomas Diehl