| 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 | 116 | 2012 |
| 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 | 97 | 2015 |
| 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 | 71 | 2012 |
| 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 | 71 | 2012 |
| 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 | 67 | 2014 |
| 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 | 54 | 2019 |
| 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 | 45 | 2017 |
| 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 | 39 | 2014 |
| 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 | 36 | 2014 |
| 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 | 36 | 2014 |
| 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 | 36 | 2012 |
| 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 | 31 | 2015 |
| 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 | 30 | 2019 |
| 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 | 30 | 2010 |
| 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 | 27 | 2015 |
| 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 | 25 | 2019 |
| 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 | 24 | 2014 |
| 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 | 23 | 2017 |
| 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 | 21 | 2015 |
| 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 | 18 | 2019 |
Yves Le TraonProfessor of Computer Science, University of LuxembourgGeverifieerd e-mailadres voor uni.lu
