Michel Krämer

26 papers C 3Misc 1Journal 10Unranked 11
YearRankTypeTitle / Venue / Authors
2025 — conf
Grid-Shift: An Image Preprocessing Approach to Reduce Overfitting in AI Training.
ICFSP
Kevin Kocon, Michel Krämer, Lina Emilie Budde
2025 J jnl
Real-time indexing and visualization of LiDAR point clouds with arbitrary attributes using the M3NO data structure.
Comput. Graph.
Paul Hermann, Michel Krämer, Tobias Dorra, Arjan Kuijper
2024 J jnl
A cloud-based data processing and visualization pipeline for the fibre roll-out in Germany.
J. Syst. Softw.
Michel Krämer, Pascal Bormann, Hendrik M. Würz, Kevin Kocon, Tobias Frechen, Jonas Schmid
2024 J jnl
Executing Ad-Hoc Queries on Large Geospatial Data Sets Without Acceleration Structures.
SN Comput. Sci.
Pascal Bormann, Michel Krämer, Hendrik M. Würz, Patrick Göhringer
2024 J jnl
Migrating monolithic applications to function as a service.
Softw. Pract. Exp.
Hendrik M. Würz, Michel Krämer, Marvin Kaster, Arjan Kuijper
2022 — conf
Comparison of CNN-based segmentation models for forest type classification.
AGILE Conf.
Kevin Kocon, Michel Krämer, Hendrik M. Würz
2022 C conf
Working Efficiently with Large Geodata Files using Ad-hoc Queries.
DATA
Pascal Bormann, Michel Krämer, Hendrik M. Würz
2021 J jnl
Executing cyclic scientific workflows in the cloud.
J. Cloud Comput.
Michel Krämer, Hendrik M. Würz, Christian Altenhofen
2020 — conf
A System for Fast and Scalable Point Cloud Indexing Using Task Parallelism.
STAG
Pascal Bormann, Michel Krämer
2020 C conf
Capability-based Scheduling of Scientific Workflows in the Cloud.
DATA
Michel Krämer
2020 — conf
Efficient Scheduling of Scientific Workflow Actions in the Cloud Based on Required Capabilities.
DATA (Revised Selected Papers)
Michel Krämer
2020 J jnl
GeoRocket: A scalable and cloud-based data store for big geospatial files.
CoRR
Michel Krämer
2020 J jnl
GeoRocket: A scalable and cloud-based data store for big geospatial files.
SoftwareX
Michel Krämer
2020 — conf
Scalable processing of massive geodata in the cloud: generating a level-of-detail structure optimized for web visualization.
AGILE Conf.
Michel Krämer, Ralf Gutbell, Hendrik M. Würz, Jannis Weil
2019 J jnl
Dynamic searchable symmetric encryption for storing geospatial data in the cloud.
Int. J. Inf. Sec.
Benedikt Hiemenz, Michel Krämer
2019 J jnl
Implementing secure applications in smart city clouds using microservices.
Future Gener. Comput. Syst.
Michel Krämer, Sven Frese, Arjan Kuijper
2018 — —
A microservice architecture for the processing of large geospatial data in the Cloud.
Michel Krämer
2015 — conf
A case study on 3D geospatial applications in the web using state-of-the-art WebGL frameworks.
Web3D
Michel Krämer, Ralf Gutbell
2015 J jnl
A modular software architecture for processing of big geospatial data in the cloud.
Comput. Graph.
Michel Krämer, Ivo Senner
2014 Misc conf
Controlling the Processing of Smart City Data in the Cloud with Domain-Specific Languages.
UCC
Michel Krämer
2014 — conf
Leveraging public participation in urban planning with 3D web technology.
Web3D
Jens Dambruch, Michel Krämer
2013 C conf
Domain-Specific Languages For Agile Urban Policy Modelling.
ECMS
Michel Krämer, David Ludlow, Zaheer Abbas Khan
2011 — conf
Reducing maintenance complexity of user-centric web portrayal services.
Web3D
Simon Thum, Michel Krämer
2010 — conf
DeepCity3D : Integration von 3D-Stadtmo-dellen und Untergrundinformationen.
Geoinformatik
Michel Krämer, Tobias Ruppert, Eva Kien, Jörn Kohlhammer
2009 — conf
A processing pipeline for X3D earth-based spatial data view services.
Web3D
Thorsten Reitz, Michel Krämer, Simon Thum
2007 — conf
Methods for Spatial Data Quality of 3D City Models.
Eurographics Italian Chapter Conference
Michel Krämer, Jörg Haist, Thorsten Reitz