Introduction of Deep Neural Network in Hybrid WCET Analysis. - Thomas Huybrechts; Amber Cassimon; Siegfried Mercelis; Peter Hellinckx (3PGCIC, 2018)

Using Neural Architecture Search to Optimize Neural Networks for Embedded Devices. - Amber Cassimon; Simon Vanneste; Stig Bosmans; Siegfried Mercelis; Peter Hellinckx (3PGCIC, 2019)

Intelligent Data Sharing in Digital Twins: Positioning Paper. - Thomas Cassimon; Jens de Hoog; Ali Anwar 002; Siegfried Mercelis; Peter Hellinckx (3PGCIC, 2020)

Designing resource-constrained neural networks using neural architecture search targeting embedded devices. - Amber Cassimon; Simon Vanneste; Stig Bosmans; Siegfried Mercelis; Peter Hellinckx (Internet Things, 2020)

A Review of the Deep Sea Treasure problem as a Multi-Objective Reinforcement Learning Benchmark. - Amber Cassimon; Reinout Eyckerman; Siegfried Mercelis; Steven Latré; Peter Hellinckx (CoRR, 2021)

Task Adaptation of Reinforcement Learning-based NAS Agents through Transfer Learning. - Amber Cassimon; Siegfried Mercelis; Kevin Mets (CoRR, 2024)

Designing a Classifier for Active Fire Detection From Multispectral Satellite Imagery Using Neural Architecture Search. - Amber Cassimon; Phil Reiter; Siegfried Mercelis; Kevin Mets (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Scalable reinforcement learning-based neural architecture search. - Amber Cassimon; Siegfried Mercelis; Kevin Mets (Neural Comput. Appl., 2025)