Thomas Hartmann

Orcid: 0000-0002-0465-6280

Affiliations:
  • University of Luxembourg


According to our database1, Thomas Hartmann authored at least 28 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
CalcGraph: taming the high costs of deep learning using models.
Softw. Syst. Model., August, 2023

Industrial defect detection on the edge with deep learning over scarcely labeled and extremely imbalanced data.
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2023

2022
Profiling the real world potential of neural network compression.
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2022

2021
Explaining Defect Detection with Saliency Maps.
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2021

2019
The next evolution of MDE: a seamless integration of machine learning into domain modeling.
Softw. Syst. Model., 2019

GreyCat: Efficient what-if analytics for data in motion at scale.
Inf. Syst., 2019

Meta-Modelling Meta-Learning.
Proceedings of the 22nd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, 2019

2018
Enabling temporal-aware contexts for adaptative distributed systems.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

Enabling lock-free concurrent workers over temporal graphs composed of multiple time-series.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

2017
Visualizing and Exploring Dynamic High-Dimensional Datasets with LION-tSNE.
CoRR, 2017

Model-Driven Analytics: Connecting Data, Domain Knowledge, and Learning.
CoRR, 2017

Analyzing Complex Data in Motion at Scale with Temporal Graphs.
Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering, 2017

Weaving Rules into Models@run.time for Embedded Smart Systems.
Proceedings of the Companion to the first International Conference on the Art, 2017

Raising Time Awareness in Model-Driven Engineering: Vision Paper.
Proceedings of the 20th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, 2017

A new modelling framework over temporal graphs for collaborative mobility recommendation systems.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

2016
Enabling Model-Driven Live Analytics For Cyber-Physical Systems: The Case of Smart Grids.
PhD thesis, 2016

Near real-time electric load approximation in low voltage cables of smart grids with models@run.time.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

2015
Suspicious electric consumption detection based on multi-profiling using live machine learning.
Proceedings of the 2015 IEEE International Conference on Smart Grid Communications, 2015

Adaptive blurring of sensor data to balance privacy and utility for ubiquitous services.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Polymer - A Model-driven Approach for Simpler, Safer, and Evolutive Multi-objective Optimization Development.
Proceedings of the MODELSWARD 2015, 2015

Beyond discrete modeling: A continuous and efficient model for IoT.
Proceedings of the 18th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, 2015

Stream my models: Reactive peer-to-peer distributed models@run.time.
Proceedings of the 18th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, 2015

2014
Leveraging Time Distortion for seamless Navigation into Data Space-Time Continuum.
CoRR, 2014

Reactive Security for Smart Grids Using Models@run.time-Based Simulation and Reasoning.
Proceedings of the Smart Grid Security - Second International Workshop, 2014

Generating realistic Smart Grid communication topologies based on real-data.
Proceedings of the 2014 IEEE International Conference on Smart Grid Communications, 2014

Model-based time-distorted Contexts for efficient temporal Reasoning.
Proceedings of the 26th International Conference on Software Engineering and Knowledge Engineering, 2014

Reasoning at Runtime using time-distorted Contexts: A Models@run.time based Approach.
Proceedings of the 26th International Conference on Software Engineering and Knowledge Engineering, 2014

A Native Versioning Concept to Support Historized Models at Runtime.
Proceedings of the Model-Driven Engineering Languages and Systems, 2014


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