| Trieste: Efficiently exploring the depths of black-box functions with TensorFlow V Picheny, J Berkeley, HB Moss, H Stojic, U Granta, SW Ober, A Artemev, ... arXiv preprint arXiv:2302.08436, 2023 | 21* | 2023 |
| Bi-objective Bayesian optimization of engineering problems with cheap and expensive cost functions N Loka, I Couckuyt, F Garbuglia, D Spina, I Van Nieuwenhuyse, ... Engineering with Computers 39 (3), 1923-1933, 2023 | 17 | 2023 |
| Hilbert vector convolutional neural network: 2D neural network on 1D data NRBS Loka, M Kavitha, T Kurita International Conference on Artificial Neural Networks, 458-470, 2019 | 6 | 2019 |
| Optimization of Plasma-Assisted Surface Treatment for Adhesive Bonding via Artificial Intelligence J Jordens, B Van Doninck, NRB Satrio, AM Hernández, I Couckuyt, ... 2nd International Conference on Industrial Applications of Adhesives 2022 …, 2022 | 2 | 2022 |
| Surrogate Modelling of Dynamic Phasor Simulations of Electrical Drives NRBS Loka, SK Gurumurthy, B Amevor, A Monti, T Dhaene, I Couckuyt IECON 2022–48th Annual Conference of the IEEE Industrial Electronics Society …, 2022 | 1 | 2022 |
| Heat Exchanger Surrogates for a Vapor Compression System NRBS Loka, NA Mejía, ST Ortiz, SK Gurumurthy, A Monti, J Rigola, C Oliet, ... Modelica Conferences, 599-606, 2023 | | 2023 |
| Cheap-expensive multi-objective Bayesian optimization for permanent magnet synchronous motor design N Loka, M Ibrahim, I Couckuyt, I Van Nieuwenhuyse, T Dhaene Engineering with Computers, 1-17, 2023 | | 2023 |
