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- 2025
- Specialised natural language processing methods for modern human resource management (2025)
- Interpreting and aligning large language models (2025)
- 2024
- Deployable data-driven control algorithms for residential demand response : a study on specialized, problem-specific neural architectures (2024)
- Monitoring of photovoltaic systems and forecasting of power system imbalance using neural networks (2024)
- Resource-efficient data annotation and augmentation methods for conversational agents (2024)
- Language model adaptation with applications in artificial intelligence for education (2024)
- Towards grounded and robust task-oriented dialogue systems (2024)
- 2023
- Towards efficient NLP models : strategies for improving data selection, training, and inference (2023)
- Physics-informed machine learning based identification and reinforcement learning based control of flexibility in smart grid applications (2023)
- 2022
- Neural approaches to entity-centric information extraction (2022)
- 2019
- Neural approaches to sequence labeling for information extraction (2019)
- 2018
- Data-driven statistical modeling and reinforcement learning based control of flexibility in domestic and electric vehicle power consumption (2018)
- Methoden voor efficiƫnte supervisie van automatische taalverwerking (2018)
- Machine learning for non-intrusive load monitoring (2018)
- 2015
- Optimal and scalable management of smart power grids with electric vehicles (2015)
- 2013
- Design and optimization of optical grids and clouds (2013)
- 2011
- Advanced techniques for context-aware service provisioning (2011)
- 2009
- Advanced residential service management (2009)
- 2008
- Anycast job routing and multi-granular architectures for optical grids (2008)