Axel Oehmichen

Orcid: 0000-0003-0224-5709

According to our database1, Axel Oehmichen authored at least 11 papers between 2014 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Honest Computing: Achieving demonstrable data lineage and provenance for driving data and process-sensitive policies.
CoRR, 2024

2021
MOAI: A methodology for evaluating the impact of indoor airflow in the transmission of COVID-19.
CoRR, 2021

2019
Not All Lies Are Equal. A Study Into the Engineering of Political Misinformation in the 2016 US Presidential Election.
IEEE Access, 2019

OPAL: High performance platform for large-scale privacy-preserving location data analytics.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Visualizing large knowledge graphs: A performance analysis.
Future Gener. Comput. Syst., 2018

A Multi Tenant Computational Platform for Translational Medicine.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

2017
Characterizing Political Fake News in Twitter by its Meta-Data.
CoRR, 2017

TensorLayer: A Versatile Library for Efficient Deep Learning Development.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

eTRIKS analytical environment: A modular high performance framework for medical data analysis.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2014
Optimising parallel R correlation matrix calculations on gene expression data using MapReduce.
BMC Bioinform., 2014

DSIMBench: A Benchmark for Microarray Data Using R.
Proceedings of the Big Data Benchmarks, Performance Optimization, and Emerging Hardware, 2014


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