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Francois Fouquet, PhD
Francois Fouquet, PhD
CTO, DataThings Luxembourg
Verified email at datathings.com
Title
Cited by
Cited by
Year
A dynamic component model for cyber physical systems
F Fouquet, B Morin, F Fleurey, O Barais, N Plouzeau, JM Jezequel
Proceedings of the 15th ACM SIGSOFT symposium on Component Based Software …, 2012
1162012
Mashup of metalanguages and its implementation in the kermeta language workbench
JM Jézéquel, B Combemale, O Barais, M Monperrus, F Fouquet
Software & Systems Modeling 14 (2), 905-920, 2015
972015
An eclipse modelling framework alternative to meet the models@ runtime requirements
F Fouquet, G Nain, B Morin, E Daubert, O Barais, N Plouzeau, ...
International Conference on Model Driven Engineering Languages and Systems …, 2012
712012
An eclipse modelling framework alternative to meet the models@ runtime requirements
F Fouquet, G Nain, B Morin, E Daubert, O Barais, N Plouzeau, ...
Model Driven Engineering Languages and Systems: 15th International …, 2012
712012
Generating realistic Smart Grid communication topologies based on real-data
T Hartmann, F Fouquet, J Klein, Y Le Traon, A Pelov, L Toutain, ...
Smart Grid Communications (SmartGridComm), 2014 IEEE International …, 2014
672014
The next evolution of MDE: a seamless integration of machine learning into domain modeling
T Hartmann, A Moawad, F Fouquet, Y Le Traon
Software & Systems Modeling 18, 1285-1304, 2019
542019
Analyzing complex data in motion at scale with temporal graphs
T Hartmann, F Fouquet, M Jimenez, R Rouvoy, Y Le Traon
The 29th International Conference on Software Engineering & Knowledge …, 2017
452017
A native versioning concept to support historized models at runtime
T Hartmann, F Fouquet, G Nain, B Morin, J Klein, O Barais, Y Le Traon
International Conference on Model Driven Engineering Languages and Systems …, 2014
392014
Kevoree Modeling Framework (KMF): Efficient modeling techniques for runtime use
F Francois, G Nain, B Morin, E Daubert, O Barais, N Plouzeau, ...
arXiv preprint arXiv:1405.6817, 2014
362014
Kevoree Modeling Framework (KMF): Efficient modeling techniques for runtime use
F Francois, G Nain, B Morin, E Daubert, O Barais, N Plouzeau, ...
arXiv preprint arXiv:1405.6817, 2014
362014
Dissemination of reconfiguration policies on mesh networks
F Fouquet, E Daubert, N Plouzeau, O Barais, J Bourcier, JM Jézéquel
IFIP International Conference on Distributed Applications and Interoperable …, 2012
362012
Stream my models: Reactive peer-to-peer distributed models@ run. time
T Hartmann, A Moawad, F Fouquet, G Nain, J Klein, Y Le Traon
Model Driven Engineering Languages and Systems (MODELS), 2015 ACM/IEEE 18th …, 2015
312015
GreyCat: Efficient what-if analytics for data in motion at scale
T Hartmann, F Fouquet, A Moawad, R Rouvoy, Y Le Traon
Information Systems 83, 101-117, 2019
302019
Integrating iot and ios with a component-based approach
G Nain, F Fouquet, B Morin, O Barais, JM Jézéquel
Software Engineering and Advanced Applications (SEAA), 2010 36th EUROMICRO …, 2010
302010
Beyond discrete modeling: a continuous and efficient model for iot
A Moawad, T Hartmann, F Fouquet, G Nain, J Klein, Y Le Traon
2015 ACM/IEEE 18th International Conference on Model Driven Engineering …, 2015
272015
Meta-Modelling Meta-Learning
T Hartmann, A Moawad, C Schockaert, F Fouquet, Y Le Traon
2019 ACM/IEEE 22nd International Conference on Model Driven Engineering …, 2019
252019
Reasoning at runtime using time-distorted contexts: A models@ run. time based approach
T Hartmann, F Fouquet, G Nain, B Morin, J Klein, Y Le Traon
Proceedings of the 26th International Conference on Software Engineering and …, 2014
242014
Model-driven analytics: Connecting data, domain knowledge, and learning
T Hartmann, A Moawad, F Fouquet, G Nain, J Klein, YL Traon, ...
arXiv preprint arXiv:1704.01320, 2017
232017
Suspicious electric consumption detection based on multi-profiling using live machine learning
T Hartmann, A Moawad, F Fouquet, Y Reckinger, T Mouelhi, J Klein, ...
Smart Grid Communications (SmartGridComm), 2015 IEEE International …, 2015
212015
Leveraging live machine learning and deep sleep to support a self-adaptive efficient configuration of battery powered sensors
C Cecchinel, F Fouquet, S Mosser, P Collet
Future Generation Computer Systems 92, 225-240, 2019
182019
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