Hierarchical Real-Time Multi-core Scheduling through Virtualization: A Survey. - Yorick De Bock; Jan Broeckhove; Peter Hellinckx (3PGCIC, 2015)

Hybrid Approach on Cache Aware Real-Time Scheduling for Multi-Core Systems. - Thomas Huybrechts; Yorick De Bock; Haoxuan Li; Peter Hellinckx (3PGCIC, 2016)

Task-Set Generator for Schedulability Analysis using the TACLeBench benchmark suite. - Yorick De Bock; Sebastian Altmeyer; Jan Broeckhove; Peter Hellinckx (EWiLi, 2016)

A Demonstration of Seamless Inter-Technology Mobility in Heterogeneous Networks. - Patrick Bosch; Tom De Schepper; Ensar Zeljkovic; Farouk Mahfoudhi; Yorick De Bock; Jeroen Famaey; Steven Latré (WOWMOM, 2018)

Task-set generator for schedulability analysis using the TACLebench benchmark suite. - Yorick De Bock; Sebastian Altmeyer; Thomas Huybrechts; Jan Broeckhove; Peter Hellinckx (SIGBED Rev., 2018)

Hard real-time scheduling on virtualized embedded multi-core systems - Yorick De Bock (2018)

Dynamic and Collaborative Spectrum Sharing: The SCATTER Approach. - Spilios Giannoulis; Michael T. Mehari; Adnan Shahid; Dragoslav Stojadinovic; Maxim Claeys; Farouk Mahfoudhi; Wei Liu 019; Ivan Seskar; Steven Latré; Ingrid Moerman; Carlos Donato; Ruben Mennes; et al. (DySPAN, 2019)

Demo Abstract: Crowd analysis with infrared sensor arrays on the smart city edge. - Yorick De Bock; Bart Braem; Dragan Subotic; Maarten Weyn; Johann M. Márquez-Barja (INFOCOM Workshops, 2019)

COBRA-HPA: a block generating tool to perform hybrid program analysis. - Thomas Huybrechts; Yorick De Bock; Haoxuan Li; Peter Hellinckx (Int. J. Grid Util. Comput., 2019)

Real-time virtualization with Xvisor. - Yorick De Bock; Siegfried Mercelis; Jan Broeckhove; Peter Hellinckx (Internet Things, 2020)

Towards Autonomous VNF Auto-scaling using Deep Reinforcement Learning. - Paola Soto; Danny De Vleeschauwer; Miguel Camelo; Yorick De Bock; Koen De Schepper; Chia-Yu Chang; Peter Hellinckx; Juan Felipe Botero; Steven Latré (SDS, 2021)

Navigating the Kikuletwa River Levels with Deep Learning: An LSTM-Based Approach to Forecasting. - Lawrence Mdegela; Erik Mannens; Yorick De Bock; Judith Leo; Edith Talina Luhanga (AFRICON, 2023)

Resource Allocation of Multi-User Workloads in Cloud and Edge Data-Centers Using Reinforcement Learning. - Julian Jimenez; Paola Soto; Danny De Vleeschauwer; Chia-Yu Chang; Yorick De Bock; Steven Latré; Miguel Camelo (CNSM, 2023)

A Multi-Modal Wireless Sensor System for River Monitoring: A Case for Kikuletwa River Floods in Tanzania. - Lawrence Mdegela; Yorick De Bock; Esteban Municio; Edith Talina Luhanga; Judith Leo; Erik Mannens (Sensors, 2023)

Network Intelligence for NFV Scaling in Closed-Loop Architectures. - Paola Soto; Miguel Camelo; Danny De Vleeschauwer; Yorick De Bock; Chia-Yu Chang; Juan Felipe Botero; Steven Latré (IEEE Commun. Mag., 2023)

Designing, Developing, and Validating Network Intelligence for Scaling in Service-Based Architectures based on Deep Reinforcement Learning. - Paola Soto; Miguel Camelo; Danny De Vleeschauwer; Yorick De Bock; Nina Slamnik-Krijestorac; Chia-Yu Chang; Natalia Gaviria; Erik Mannens; Juan Felipe Botero; Steven Latré (CoRR, 2024)

A Method to Compare Scaling Algorithms for Cloud-Based Services. - Danny De Vleeschauwer; Chia-Yu Chang; Paola Soto; Yorick De Bock; Miguel Camelo; Koen De Schepper (IEEE Trans. Cloud Comput., 2025)