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- 2024
- Surrogate-Assisted Evolutionary Algorithm for the Calibration of Distributed Hydrological Models Based on Two-Dimensional Shallow Water Equations (2024) WATER. 16(5).
- Wind Turbine Hybrid Physics-based Deep Learning Model for a Health Monitoring Approach Considering Provision of Ancillary Services (2024) IEEE Transactions on Instrumentation and Measurement. p.1-1
- Multi-objective constrained robust design of a metamaterial vibration isolator with a limited budget (2024) JOURNAL OF ENGINEERING DESIGN.
- Bayesian multi-objective optimization of process design parameters in constrained settings with noise : an engineering design application (2024) ENGINEERING WITH COMPUTERS.
- Data-driven surrogate modeling for the flammability reduction system (2024) AIAA SCITECH 2024 Forum. p.1-11
- 2023
- Optimization of plasma-assisted surface treatment for adhesive bonding via artificial intelligence (2023) 2nd International Conference on Industrial Applications of Adhesives 2022 : selected contributions of IAA 2022. In Proceedings in engineering mechanics p.47-64
- Cheap-expensive multi-objective Bayesian optimization for permanent magnet synchronous motor design (2023) ENGINEERING WITH COMPUTERS.
- Cost-aware active learning for feasible region identification (2023) PROCEEDINGS OF THE 2023 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION, GECCO 2023 COMPANION. p.2286-2288
- {PF}²ES : parallel feasible pareto frontier entropy search for multi-objective Bayesian optimization (2023) Proceedings of The 26th International Conference on Artificial Intelligence and Statistics. In Proceedings of Machine Learning Research 206. p.2565-2588
- Open-set patient activity recognition with radar sensors and deep learning (2023) IEEE GEOSCIENCE AND REMOTE SENSING LETTERS. 20.
- A combined data-driven, experimental and modelling approach for assessing the optimal composition of impregnation products for cementitious materials (2023) CEMENT & CONCRETE COMPOSITES. 136.
- Bayesian optimization for microwave devices using deep GP spectral surrogate models (2023) IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES. 71(6). p.2311-2318
- A robust multi-objective Bayesian optimization framework considering input uncertainty (2023) JOURNAL OF GLOBAL OPTIMIZATION. 86(3). p.693-711
- Bi-objective Bayesian optimization of engineering problems with cheap and expensive cost functions (2023) ENGINEERING WITH COMPUTERS. 39(3). p.1923-1933
- 2022
- Bayesian optimization : tutorial (2022) GECCO '22 : proceedings of the Genetic and Evolutionary Computation Conference Companion. p.844-863
- Tailoring radar-based patient monitoring models to real-life needs using utility maximization (2022) 2022 19TH EUROPEAN RADAR CONFERENCE (EURAD). In European Radar Conference EuRAD p.81-84
- SAMURAI : a new asynchronous Bayesian optimization technique for optimization-under-uncertainty (2022) AIAA JOURNAL. 60(11). p.6133-6156
- Multi-objective optimization : which solution do you prefer? (2022) Faculty of Engineering and Architecture Research Symposium 2022 (FEARS 2022), Abstracts.
- Data-efficient feasible region identification for engineering design (2022) Faculty of Engineering and Architecture Research Symposium 2022 (FEARS 2022), Abstracts.
- Surrogate modelling of dynamic phasor simulations of electrical drives (2022) IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society.