| Adoption and effects of software engineering best practices in machine learning A Serban, K Van der Blom, H Hoos, J Visser Proceedings of the 14th ACM/IEEE International Symposium on Empirical …, 2020 | 155 | 2020 |
| Conceptual structural system layouts via design response grammars and evolutionary algorithms S Boonstra, K van der Blom, H Hofmeyer, MTM Emmerich Automation in construction 116, 103009, 2020 | 34 | 2020 |
| Toolbox for super-structured and super-structure free multi-disciplinary building spatial design optimisation S Boonstra, K van der Blom, H Hofmeyer, M Emmerich, J van Schijndel, ... Advanced Engineering Informatics 36, 86-100, 2018 | 32 | 2018 |
| Practices for engineering trustworthy machine learning applications A Serban, K van der Blom, H Hoos, J Visser 2021 IEEE/ACM 1st Workshop on AI engineering-software engineering for AI …, 2021 | 25 | 2021 |
| Hybridization of an evolutionary algorithm and simulations of co-evolutionary design processes for early-stage building spatial design optimization S Boonstra, K van der Blom, H Hofmeyer, MTM Emmerich Automation in Construction 124, 103522, 2021 | 23 | 2021 |
| Multicriteria building spatial design with mixed integer evolutionary algorithms K van der Blom, S Boonstra, H Hofmeyer, M Emmerich International Conference on Parallel Problem Solving from Nature, 453-462, 2016 | 20 | 2016 |
| AutoML Adoption in ML Software K van der Blom, A Serban, H Hoos, J Visser 8th ICML Workshop on Automated Machine Learning (AutoML), 2021 | 19 | 2021 |
| Configuring advanced evolutionary algorithms for multicriteria building spatial design optimisation K van der Blom, S Boonstra, H Hofmeyer, T Bäck, MTM Emmerich 2017 IEEE Congress on Evolutionary Computation (CEC), 1803-1810, 2017 | 18 | 2017 |
| Identifying properties of real-world optimisation problems through a questionnaire K van der Blom, TM Deist, V Volz, M Marchi, Y Nojima, B Naujoks, ... Many-Criteria Optimization and Decision Analysis: State-of-the-Art, Present …, 2023 | 16 | 2023 |
| Super-structure and super-structure free design search space representations for a building spatial design in multi-disciplinary building optimisation S Boonstra, K van der Blom, H Hofmeyer, R Amor, MTM Emmerich 23rd International Workshop of the European Group for Intelligent Computing …, 2016 | 15 | 2016 |
| A super-structure based optimisation approach for building spatial designs K van der Blom, S Boonstra, H Hofmeyer, MTM Emmerich VII European Congress on Computational Methods in Applied Sciences and …, 2016 | 14 | 2016 |
| Towards single-and multiobjective Bayesian global optimization for mixed integer problems K Yang, K van der Blom, T Bäck, M Emmerich AIP Conference Proceedings 2070 (1), 2019 | 13 | 2019 |
| Towards realistic optimization benchmarks: a questionnaire on the properties of real-world problems K van der Blom, TM Deist, T Tušar, M Marchi, Y Nojima, A Oyama, V Volz, ... Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020 | 11 | 2020 |
| Pi is back! Switching acquisition functions in Bayesian optimization C Benjamins, E Raponi, A Jankovic, K van der Blom, ML Santoni, ... arXiv preprint arXiv:2211.01455, 2022 | 9 | 2022 |
| Coupling between a building spatial design optimisation toolbox and BouwConnect BIM S Boonstra, K van der Blom, H Hofmeyer, J van den Buijs, MTM Emmerich Advances in Informatics and Computing in Civil and Construction Engineering …, 2019 | 8 | 2019 |
| Combined super-structured and super-structure free optimisation of building spatial designs S Boonstra, K van der Blom, H Hofmeyer, MTM Emmerich 24rd International Workshop of the European Group for Intelligent Computing …, 2017 | 8 | 2017 |
| Software engineering practices for machine learning—Adoption, effects, and team assessment A Serban, K van der Blom, H Hoos, J Visser Journal of Systems and Software 209, 111907, 2024 | 7* | 2024 |
| Evaluating Memetic Building Spatial Design Optimisation Using Hypervolume Indicator Gradient Ascent K van der Blom, S Boonstra, H Wang, H Hofmeyer, MTM Emmerich Numerical and Evolutionary Optimization, 62-86, 2018 | 7 | 2018 |
| Towards automated design of bayesian optimization via exploratory landscape analysis C Benjamins, A Jankovic, E Raponi, K van der Blom, M Lindauer, C Doerr arXiv preprint arXiv:2211.09678, 2022 | 6 | 2022 |
| Practices for engineering trustworthy machine learning applications. In 2021 IEEE/ACM 1st Workshop on AI Engineering-Software Engineering for AI (WAIN) A Serban, K van der Blom, H Hoos, J Visser IEEE, 97ś100. https://doi. org/10 1109, 2021 | 6 | 2021 |
Michael T.M. Emmerich (Dr. rer. nat.)Professor in Multiobjective OptimizationVerificeret mail på liacs.nl