Koen van der Blom

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 16

Top Topics

Machine Learning

Software Engineering

Frequently Encountered

Top Venues

IEEE Trans. Evol. Comput.

Publications

Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser
Software engineering practices for machine learning - Adoption, effects, and team assessment. J. Syst. Softw. 209 (2024)
Carolin Benjamins, Elena Raponi, Anja Jankovic, Koen van der Blom, Maria Laura Santoni, Marius Lindauer, Carola Doerr
PI is back! Switching Acquisition Functions in Bayesian Optimization. CoRR (2022)
Carolin Benjamins, Anja Jankovic, Elena Raponi, Koen van der Blom, Marius Lindauer, Carola Doerr
Towards Automated Design of Bayesian Optimization via Exploratory Landscape Analysis. CoRR (2022)
Koen van der Blom, Holger H. Hoos, Chuan Luo, Jeroen G. Rook
Sparkle: Toward Accessible Meta-Algorithmics for Improving the State of the Art in Solving Challenging Problems. IEEE Trans. Evol. Comput. 26 (6) (2022)
Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser
Practices for Engineering Trustworthy Machine Learning Applications. WAIN@ICSE (2021)
Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser
Practices for Engineering Trustworthy Machine Learning Applications. CoRR (2021)
Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser
Adoption and Effects of Software Engineering Best Practices in Machine Learning. ESEM (2020)
Koen van der Blom, Timo M. Deist, Vanessa Volz, Mariapia Marchi, Yusuke Nojima, Boris Naujoks, Akira Oyama, Tea Tusar
Identifying Properties of Real-World Optimisation Problems through a Questionnaire. CoRR (2020)
Koen van der Blom, Timo M. Deist, Tea Tusar, Mariapia Marchi, Yusuke Nojima, Akira Oyama, Vanessa Volz, Boris Naujoks
Towards realistic optimization benchmarks: a questionnaire on the properties of real-world problems. GECCO Companion (2020)
Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser
Adoption and Effects of Software Engineering Best Practices in Machine Learning. CoRR (2020)
Koen van der Blom, Timo M. Deist, Tea Tusar, Mariapia Marchi, Yusuke Nojima, Akira Oyama, Vanessa Volz, Boris Naujoks
Towards Realistic Optimization Benchmarks: A Questionnaire on the Properties of Real-World Problems. CoRR (2020)
Koen van der Blom, Sjonnie Boonstra, Hèrm Hofmeyer, Michael Emmerich
Analysing Optimisation Data for Multicriteria Building Spatial Design. EMO (2019)
Koen van der Blom, Thomas Bäck
A new foraging-based algorithm for online scheduling. GECCO (2018)
Sjonnie Boonstra, Koen van der Blom, Hèrm Hofmeyer, Michael T. M. Emmerich, Jos van Schijndel, Pieter de Wilde
Toolbox for super-structured and super-structure free multi-disciplinary building spatial design optimisation. Adv. Eng. Informatics 36 (2018)
Koen van der Blom, Sjonnie Boonstra, Hèrm Hofmeyer, Thomas Bäck, Michael T. M. Emmerich
Configuring advanced evolutionary algorithms for multicriteria building spatial design optimisation. CEC (2017)
Koen van der Blom, Sjonnie Boonstra, Hèrm Hofmeyer, Michael T. M. Emmerich
Multicriteria Building Spatial Design with Mixed Integer Evolutionary Algorithms. PPSN (2016)