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2020 – today
- 2024
[j3]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: 111907 (2024)- 2023
- [p2]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. Many-Criteria Optimization and Decision Analysis 2023: 59-80 - [p1]Vanessa Volz, Dani Irawan, Koen van der Blom, Boris Naujoks:
Benchmarking. Many-Criteria Optimization and Decision Analysis 2023: 149-179 - 2022
- [j2]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): 1351-1364 (2022) - [i6]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 abs/2211.01455 (2022) - [i5]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 abs/2211.09678 (2022) - 2021
- [c7]Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser:
Practices for Engineering Trustworthy Machine Learning Applications. WAIN@ICSE 2021: 97-100 - [i4]Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser:
Practices for Engineering Trustworthy Machine Learning Applications. CoRR abs/2103.00964 (2021) - 2020
- [c6]Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser:
Adoption and Effects of Software Engineering Best Practices in Machine Learning. ESEM 2020: 3:1-3:12 - [c5]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: 293-294 - [i3]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 abs/2004.06395 (2020) - [i2]Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser:
Adoption and Effects of Software Engineering Best Practices in Machine Learning. CoRR abs/2007.14130 (2020) - [i1]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 abs/2011.05547 (2020)
2010 – 2019
- 2019
- [c4]Koen van der Blom, Sjonnie Boonstra, Hèrm Hofmeyer, Michael Emmerich:
Analysing Optimisation Data for Multicriteria Building Spatial Design. EMO 2019: 671-682 - 2018
- [j1]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: 86-100 (2018) - [c3]Koen van der Blom, Thomas Bäck:
A new foraging-based algorithm for online scheduling. GECCO 2018: 53-60 - 2017
- [c2]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: 1803-1810 - 2016
- [c1]Koen van der Blom, Sjonnie Boonstra, Hèrm Hofmeyer, Michael T. M. Emmerich:
Multicriteria Building Spatial Design with Mixed Integer Evolutionary Algorithms. PPSN 2016: 453-462
Coauthor Index
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last updated on 2024-08-05 20:18 CEST by the dblp team
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