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Thomas Hartmann

Prof. Dr. Thomas Hartmann

Publikationen
Ergebnisse pro Seite:  10

Rico Gómez, Rodrigo; Lorentz, Joe; Hartmann, Thomas et al.

An AI pipeline for garment price projection using computer vision

Neural Computing and Applications. Bd. 36. H. 25. Springer Science and Business Media LLC 2024 S. 15631 - 15651


Fouquet, Francois; Hartmann, Thomas; Cecchinel, Cyril et al.

GreyCat: A Framework to Develop Digital Twins at Large Scale

Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems. Linz, Austria: ACM 2024 S. 492 - 495


Lorentz, Joe; Hartmann, Thomas; Moawad, Assaad et al.

CalcGraph: taming the high costs of deep learning using models

Software and Systems Modeling. Bd. 22. H. 4. Springer Science and Business Media LLC 2023 S. 1151 - 1174


Lorentz, Joe; Hartmann, Thomas; Moawad, Assaad et al.

Industrial defect detection on the edge with deep learning over scarcely labeled and extremely imbalanced data

2023 IEEE International Conference on Omni-layer Intelligent Systems (COINS). Berlin, Germany: IEEE 2023 S. 1 - 6


Lorentz, Joe; Moawad, Assaad; Hartmann, Thomas et al.

Profiling the real world potential of neural network compression

2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS). Barcelona, Spain: IEEE 2022 S. 1 - 6


Lorentz, Joe; Hartmann, Thomas; Moawad, Assaad et al.

Explaining Defect Detection with Saliency Maps

Advances and Trends in Artificial Intelligence. From Theory to Practice. Kuala Lumpur, Malaysia: Springer International Publishing 2021 S. 506 - 518


Hartmann, Thomas; Fouquet, Francois; Moawad, Assaad et al.

GreyCat: Efficient what-if analytics for data in motion at scale

Information Systems. Bd. 83. Elsevier BV 2019 S. 101 - 117


Hartmann, Thomas; Moawad, Assaad; Schockaert, Cedric et al.

Meta-Modelling Meta-Learning

2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems (MODELS). IEEE 2019 S. 300 - 305


Hartmann, Thomas; Moawad, Assaad; Fouquet, Francois et al.

The next evolution of MDE: a seamless integration of machine learning into domain modeling

Software & Systems Modeling. Bd. 18. H. 2. Springer Science and Business Media LLC 2019 S. 1285 - 1304


Fouquet, Francois; Hartmann, Thomas; Mosser, Sébastien et al.

Enabling lock-free concurrent workers over temporal graphs composed of multiple time-series

Proceedings of the 33rd Annual ACM Symposium on Applied Computing. ACM 2018 S. 1054 - 1061