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ORCIDAmber Cassimon
Person information
- affiliation: University of Antwerp, Faculty of Applied Engineering, Antwerp, Belgium
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2020 – today
- 2025
[j2]Amber Cassimon
, Siegfried Mercelis, Kevin Mets:
Scalable reinforcement learning-based neural architecture search. Neural Comput. Appl. 37(1): 231-261 (2025)- 2024
- [i4]Amber Cassimon, Siegfried Mercelis, Kevin Mets:
Scalable Reinforcement Learning-based Neural Architecture Search. CoRR abs/2410.01431 (2024) - [i3]Amber Cassimon, Phil Reiter, Siegfried Mercelis, Kevin Mets:
Designing a Classifier for Active Fire Detection from Multispectral Satellite Imagery Using Neural Architecture Search. CoRR abs/2410.05425 (2024) - [i2]Amber Cassimon, Siegfried Mercelis, Kevin Mets:
Task Adaptation of Reinforcement Learning-based NAS Agents through Transfer Learning. CoRR abs/2412.01420 (2024) - 2021
- [i1]Amber Cassimon, Reinout Eyckerman, Siegfried Mercelis, Steven Latré, Peter Hellinckx:
A Review of the Deep Sea Treasure problem as a Multi-Objective Reinforcement Learning Benchmark. CoRR abs/2110.06742 (2021) - 2020
- [j1]Amber Cassimon, Simon Vanneste, Stig Bosmans, Siegfried Mercelis, Peter Hellinckx:
Designing resource-constrained neural networks using neural architecture search targeting embedded devices. Internet Things 12: 100234 (2020) - [c3]Thomas Cassimon, Jens de Hoog, Ali Anwar, Siegfried Mercelis, Peter Hellinckx:
Intelligent Data Sharing in Digital Twins: Positioning Paper. 3PGCIC 2020: 282-290
2010 – 2019
- 2019
- [c2]Amber Cassimon, Simon Vanneste, Stig Bosmans, Siegfried Mercelis, Peter Hellinckx:
Using Neural Architecture Search to Optimize Neural Networks for Embedded Devices. 3PGCIC 2019: 684-693 - 2018
- [c1]Thomas Huybrechts, Amber Cassimon, Siegfried Mercelis, Peter Hellinckx:
Introduction of Deep Neural Network in Hybrid WCET Analysis. 3PGCIC 2018: 415-425
Coauthor Index
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