A Native Versioning Concept to Support Historized Models at Runtime. - Thomas Hartmann 001; François Fouquet; Grégory Nain; Brice Morin; Jacques Klein; Olivier Barais; Yves Le Traon (MoDELS, 2014)

Reasoning at Runtime using time-distorted Contexts: A Models@run.time based Approach. - Thomas Hartmann 001; François Fouquet; Grégory Nain; Brice Morin; Jacques Klein; Yves Le Traon (SEKE, 2014)

Model-based time-distorted Contexts for efficient temporal Reasoning. - Thomas Hartmann 001; François Fouquet; Grégory Nain; Brice Morin; Jacques Klein; Yves Le Traon (SEKE, 2014)

Generating realistic Smart Grid communication topologies based on real-data. - Thomas Hartmann 001; François Fouquet; Jacques Klein; Yves Le Traon; Alexander Pelov; Laurent Toutain; Tanguy Ropitault (SmartGridComm, 2014)

Reactive Security for Smart Grids Using Models@run.time-Based Simulation and Reasoning. - Thomas Hartmann 001; François Fouquet; Jacques Klein; Grégory Nain; Yves Le Traon (SmartGridSec, 2014)

Leveraging Time Distortion for seamless Navigation into Data Space-Time Continuum. - Thomas Hartmann 001; François Fouquet; Yves Le Traon; Brice Morin (CoRR, 2014)

Stream my models: Reactive peer-to-peer distributed models@run.time. - Thomas Hartmann 001; Assaad Moawad; François Fouquet; Grégory Nain; Jacques Klein; Yves Le Traon (MoDELS, 2015)

Beyond discrete modeling: A continuous and efficient model for IoT. - Assaad Moawad; Thomas Hartmann 001; François Fouquet; Grégory Nain; Jacques Klein; Yves Le Traon (MoDELS, 2015)

Polymer - A Model-driven Approach for Simpler, Safer, and Evolutive Multi-objective Optimization Development. - Assaad Moawad; Thomas Hartmann 001; François Fouquet; Grégory Nain; Jacques Klein; Johann Bourcier (MODELSWARD, 2015)

Adaptive blurring of sensor data to balance privacy and utility for ubiquitous services. - Assaad Moawad; Thomas Hartmann 001; François Fouquet; Jacques Klein; Yves Le Traon (SAC, 2015)

Suspicious electric consumption detection based on multi-profiling using live machine learning. - Thomas Hartmann 001; Assaad Moawad; François Fouquet; Yves Reckinger; Tejeddine Mouelhi; Jacques Klein; Yves Le Traon (SmartGridComm, 2015)

Near real-time electric load approximation in low voltage cables of smart grids with models@run.time. - Thomas Hartmann 001; Assaad Moawad; François Fouquet; Yves Reckinger; Jacques Klein; Yves Le Traon (SAC, 2016)

Enabling Model-Driven Live Analytics For Cyber-Physical Systems: The Case of Smart Grids. - Thomas Hartmann 001 (2016)

A new modelling framework over temporal graphs for collaborative mobility recommendation systems. - Bogdan Toader; Assaad Moawad; François Fouquet; Thomas Hartmann 001; Mioara Popescu; Francesco Viti (ITSC, 2017)

Raising Time Awareness in Model-Driven Engineering: Vision Paper. - Amine Benelallam; Thomas Hartmann 001; Ludovic Mouline; François Fouquet; Johann Bourcier; Olivier Barais; Yves Le Traon (MoDELS, 2017)

Weaving Rules into Models@run.time for Embedded Smart Systems. - Ludovic Mouline; Thomas Hartmann 001; François Fouquet; Yves Le Traon; Johann Bourcier; Olivier Barais (Programming, 2017)

Analyzing Complex Data in Motion at Scale with Temporal Graphs. - Thomas Hartmann 001; François Fouquet; Matthieu Jimenez; Romain Rouvoy; Yves Le Traon (SEKE, 2017)

Model-Driven Analytics: Connecting Data, Domain Knowledge, and Learning. - Thomas Hartmann 001; Assaad Moawad; François Fouquet; Grégory Nain; Jacques Klein; Yves Le Traon; Jean-Marc Jézéquel (CoRR, 2017)

Visualizing and Exploring Dynamic High-Dimensional Datasets with LION-tSNE. - Andrey Boytsov; François Fouquet; Thomas Hartmann 001; Yves Le Traon (CoRR, 2017)

Enabling lock-free concurrent workers over temporal graphs composed of multiple time-series. - François Fouquet; Thomas Hartmann 001; Sébastien Mosser 001; Maxime Cordy (SAC, 2018)

Enabling temporal-aware contexts for adaptative distributed systems. - Ludovic Mouline; Amine Benelallam; Thomas Hartmann 001; François Fouquet; Johann Bourcier; Brice Morin; Olivier Barais (SAC, 2018)

Meta-Modelling Meta-Learning. - Thomas Hartmann 001; Assaad Moawad; Cedric Schockaert; François Fouquet; Yves Le Traon (MoDELS, 2019)

GreyCat: Efficient what-if analytics for data in motion at scale. - Thomas Hartmann 001; François Fouquet; Assaad Moawad; Romain Rouvoy; Yves Le Traon (Inf. Syst., 2019)

The next evolution of MDE: a seamless integration of machine learning into domain modeling. - Thomas Hartmann 001; Assaad Moawad; François Fouquet; Yves Le Traon (Softw. Syst. Model., 2019)

Explaining Defect Detection with Saliency Maps. - Joe Lorentz; Thomas Hartmann 001; Assaad Moawad; François Fouquet; Djamila Aouada (IEA/AIE (2), 2021)

Profiling the real world potential of neural network compression. - Joe Lorentz; Assaad Moawad; Thomas Hartmann 001; Djamila Aouada (COINS, 2022)

Industrial defect detection on the edge with deep learning over scarcely labeled and extremely imbalanced data. - Joe Lorentz; Thomas Hartmann 001; Assaad Moawad; Djamila Aouada (COINS, 2023)

CalcGraph: taming the high costs of deep learning using models. - Joe Lorentz; Thomas Hartmann 001; Assaad Moawad; François Fouquet; Djamila Aouada; Yves Le Traon (Softw. Syst. Model., 2023)

GreyCat: A Framework to Develop Digital Twins at Large Scale. - François Fouquet; Thomas Hartmann 001; Cyril Cecchinel; Benoît Combemale (MoDELS (Companion), 2024)

An AI pipeline for garment price projection using computer vision. - Rodrigo Rico Gómez; Joe Lorentz; Thomas Hartmann 001; Arda Goknil; Inder Pal Singh; Tayfun Gökmen Halaç; Gülnaz Boruzanli Ekinci (Neural Comput. Appl., 2024)