Axel Oehmichen
Axel Oehmichen
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Tensorlayer: a versatile library for efficient deep learning development
H Dong, A Supratak, L Mai, F Liu, A Oehmichen, S Yu, Y Guo
Proceedings of the 25th ACM international conference on Multimedia, 1201-1204, 2017
A computational framework for complex disease stratification from multiple large-scale datasets
B De Meulder, D Lefaudeux, AT Bansal, A Mazein, A Chaiboonchoe, ...
BMC systems biology 12, 1-23, 2018
Visualizing large knowledge graphs: A performance analysis
J Gómez-Romero, M Molina-Solana, A Oehmichen, Y Guo
Future Generation Computer Systems 89, 224-238, 2018
Optimising parallel R correlation matrix calculations on gene expression data using MapReduce
S Wang, I Pandis, D Johnson, I Emam, F Guitton, A Oehmichen, Y Guo
BMC bioinformatics 15 (1), 351, 2014
Not all lies are equal. A study into the engineering of political misinformation in the 2016 US Presidential Election
A Oehmichen, K Hua, JAD López, M Molina-Solana, J Gómez-Romero, ...
IEEE access 7, 126305-126314, 2019
Characterizing political fake news in twitter by its meta-data
J Amador, A Oehmichen, M Molina-Solana
arXiv preprint arXiv:1712.05999, 2017
OPAL: High performance platform for large-scale privacy-preserving location data analytics
A Oehmichen, S Jain, A Gadotti, YA de Montjoye
2019 IEEE International Conference on Big Data (Big Data), 1332-1342, 2019
eTRIKS analytical environment: A modular high performance framework for medical data analysis
A Oehmichen, F Guitton, K Sun, J Grizet, T Heinis, Y Guo
2017 IEEE International Conference on Big Data (Big Data), 2017
DSIMBench: A benchmark for microarray data using R
S Wang, I Pandis, I Emam, D Johnson, F Guitton, A Oehmichen, Y Guo
Big Data Benchmarks, Performance Optimization, and Emerging Hardware: 4th …, 2014
A multi tenant computational platform for translational medicine
A Oehmichen, F Guitton, P Agapow, I Emam, Y Guo
2018 IEEE 38th International Conference on Distributed Computing Systems …, 2018
TensorDB: Database Infrastructure for Continuous Machine Learning
F Liu, A Oehmichen, J Zhang, K Sun, H Dong, Y Mo, Y Guo
MOAI: A methodology for evaluating the impact of indoor airflow in the transmission of COVID-19
A Oehmichen, F Guitton, C Wahl, B Foing, D Tziamtzis, Y Guo
arXiv preprint arXiv:2103.17096, 2021
eTRIKS analytical environment: a practical platform for medical big data analysis
A Oehmichen
Imperial College London, 2019
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