| Exploring Dimensionality Reduction Techniques for Efficient Surrogate-Assisted Optimization S Ullah, DA Nguyen, H Wang, S Menzel, B Sendhoff, T Bäck 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2965-2974, 2020 | 13 | 2020 |
| Exploring Clinical Time Series Forecasting with Meta-Features in Variational Recurrent Models S Ullah, Z Xu, H Wang, S Menzel, B Sendhoff, T Bäck 2020 International Joint Conference on Neural Networks (IJCNN), 1-9, 2020 | 10 | 2020 |
| An empirical comparison of meta-modeling techniques for robust design optimization S Ullah, H Wang, S Menzel, B Sendhoff, T Back 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 819-828, 2019 | 9 | 2019 |
| A New Acquisition Function for Robust Bayesian Optimization of Unconstrained Problems S Ullah, H Wang, S Menzel, B Sendhoff, T Bäck 2021 Genetic and Evolutionary Computation Conference Companion (GECCO ’21 …, 2021 | 3 | 2021 |
| A systematic approach to analyze the computational cost of robustness in model-assisted robust optimization S Ullah, H Wang, S Menzel, B Sendhoff, T Bäck International Conference on Parallel Problem Solving from Nature, 63-75, 2022 | 1 | 2022 |
| Highly enhanced electrothermal properties of 001-textured Pb-free ferroelectric (Ba, Ca)(Ti, Zr, Sn) O3 for energy harvesting and solid-state cooling S Ullah, T Pramanik, J Kong, GP Zheng, Y Li, A Pramanick Journal of the European Ceramic Society, 116830, 2024 | | 2024 |
| Model-assisted robust optimization for continuous black-box problems S Ullah Leiden University, 2023 | | 2023 |
| ECOLE Blog - Meta-Features based Clinical Time Series Forecasting in Variational Recurrent Models S Ullah | | 2020 |
| Deliverable D2. 1 Experience-based high dimensional & big data assisted optimisation J Kong, S Ullah, W Kowalczyk | | |
| Deliverable D2. 4 Integrated Software Environment and Manual for Imbalanced Learning, Automated Machine Learning, Model-Assisted Robust Optimization, and Dynamic Multi … S Ullah, DA Nguyen, J Kong, H Wang, A Kononova, W Kowalczyk, ... | | |
| Deliverable D3. 2 Deep structured learning and model space learning for Engineering and ICT data S Ullah, S Friess, Z Xu | | |
| Deliverable D2. 3 Robustness & uncertainty modeling in experience-based optimization S Ullah, T Bäck | | |
Thomas BäckProfessor of Computer Science, Leiden University; Chief Scientist, NORCE Research Centre, NorwayVerified email at liacs.leidenuniv.nl
