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Pierre-Louis Sixdenier

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2020 – today

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2024
[c6]
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  - conf/meco/SixdenierWT24
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Pierre-Louis Sixdenier, Stefan Wildermann, Jürgen Teich:
GRES: Guaranteed Remaining Energy Scheduling of Energy-harvesting Sensors by Quality Adaptation. MECO 2024: 1-5
2023
[c5]
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Pierre-Louis Sixdenier, Stefan Wildermann, Martin Ottens, Jürgen Teich:
Seque: Lean and Energy-aware Data Management for IoT Gateways. EDGE 2023: 133-139
[c4]
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  - conf/hipeac/EsperSSWT23
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Khalil Esper, Jan Spieck, Pierre-Louis Sixdenier, Stefan Wildermann, Jürgen Teich:
RAVEN: Reinforcement Learning for Generating Verifiable Run-Time Requirement Enforcers for MPSoCs. NG-RES@HiPEAC 2023: 7:1-7:16
[c3]
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  - conf/memocode/SpieckSEWT23
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Jan Spieck, Pierre-Louis Sixdenier, Khalil Esper, Stefan Wildermann, Jürgen Teich:
Hybrid Genetic Reinforcement Learning for Generating Run-Time Requirement Enforcers. MEMOCODE 2023: 23-35
2022
[c2]
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  - conf/samos/SixdenierWZT22
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Pierre-Louis Sixdenier, Stefan Wildermann, Daniel Ziegler, Jürgen Teich:
SIDAM: A Design Space Exploration Framework for Multi-sensor Embedded Systems Powered by Energy Harvesting. SAMOS 2022: 329-345
2021
[c1]
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Pierre-Louis Sixdenier:
Towards an Autonomous, Power-Efficient Base Station for Sensor Data Collection. ACSOS-C 2021: 313-315

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