Axel Oehmichen

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

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Florian Guitton, Axel Oehmichen, Étienne Bossé, Yike Guo

CoRR, 2024

2021

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

Axel Oehmichen, Florian Guitton, Cedric Wahl, Bertrand Foing, Damian Tziamtzis, Yike Guo

CoRR, 2021

2019

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

Axel Oehmichen, Kevin Hua, Julio Amador Díaz López, Miguel Molina-Solana, Juan Gómez-Romero, Yike Guo

IEEE Access, 2019

OPAL: High performance platform for large-scale privacy-preserving location data analytics.

Axel Oehmichen, Shubham Jain, Andrea Gadotti, Yves-Alexandre de Montjoye

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Visualizing large knowledge graphs: A performance analysis.

Juan Gómez-Romero, Miguel Molina-Solana, Axel Oehmichen, Yike Guo

Future Gener. Comput. Syst., 2018

A Multi Tenant Computational Platform for Translational Medicine.

Axel Oehmichen, Florian Guitton, Paul Agapow, Ibrahim Emam, Yike Guo

Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

2017

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

Julio Amador Díaz López, Axel Oehmichen, Miguel Molina-Solana

CoRR, 2017

TensorLayer: A Versatile Library for Efficient Deep Learning Development.

Hao Dong, Akara Supratak, Luo Mai, Fangde Liu, Axel Oehmichen, Simiao Yu, Yike Guo

Proceedings of the 2017 ACM on Multimedia Conference, 2017

eTRIKS analytical environment: A modular high performance framework for medical data analysis.

Axel Oehmichen, Florian Guitton, Kai Sun, Jean Grizet, Thomas Heinis, Yike Guo

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.

Shicai Wang, Ioannis Pandis, David Johnson, Ibrahim Emam, Florian Guitton, Axel Oehmichen, Yike Guo

BMC Bioinform., 2014

DSIMBench: A Benchmark for Microarray Data Using R.

Shicai Wang, Ioannis Pandis, Ibrahim Emam, David Johnson, Florian Guitton, Axel Oehmichen, Yike Guo

Proceedings of the Big Data Benchmarks, Performance Optimization, and Emerging Hardware, 2014