61 citations · 73 across the 4 of their papers we have counts for
4 papers
Honest Computing: Achieving demonstrable data lineage and provenance for driving data and process-sensitive policies
Florian Guitton, Axel Oehmichen, Étienne Bossé +1
Data is the foundation of any scientific, industrial or commercial process. Its journey typically flows from collection to transport, storage, management and processing. While best…
MOAI: A methodology for evaluating the impact of indoor airflow in the transmission of COVID-19
Axel Oehmichen, Florian Guitton, Cedric Wahl +3
Epidemiology models play a key role in understanding and responding to the COVID-19 pandemic. In order to build those models, scientists need to understand contributing factors and…
Characterizing Political Fake News in Twitter by its Meta-Data
Julio Amador, Axel Oehmichen, Miguel Molina-Solana
This article presents a preliminary approach towards characterizing political fake news on Twitter through the analysis of their meta-data. In particular, we focus on more than 1.5…
TensorLayer: A Versatile Library for Efficient Deep Learning Development
Hao Dong, Akara Supratak, Luo Mai +4
Deep learning has enabled major advances in the fields of computer vision, natural language processing, and multimedia among many others. Developing a deep learning system is arduo…