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Timo M. Deist
Timo M. Deist
Centrum Wiskunde & Informatica
Computer science
Artificial intelligence
Mathematical optimization
Machine learning
Optimization problem
5
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13
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Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization.
2021
arXiv: Learning
Timo M. Deist
Monika Grewal
Frank J. W. M. Dankers
Tanja Alderliesten
Peter A. N. Bosman
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Citations (4)
Multi-objective Optimization by Uncrowded Hypervolume Gradient Ascent
2020
PPSN | Parallel Problem Solving from Nature
Timo M. Deist
Stefanus C. Maree
Tanja Alderliesten
Peter A. N. Bosman
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Towards Realistic Optimization Benchmarks: A Questionnaire on the Properties of Real-World Problems
2020
arXiv: Neural and Evolutionary Computing
Koen van der Blom
Timo M. Deist
Tea Tušar
Mariapia Marchi
Yusuke Nojima
Akira Oyama
Vanessa Volz
Boris Naujoks
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Identifying Properties of Real-World Optimisation Problems through a Questionnaire
2020
arXiv: Neural and Evolutionary Computing
Koen van der Blom
Timo M. Deist
Vanessa Volz
Mariapia Marchi
Yusuke Nojima
Boris Naujoks
Akira Oyama
Tea Tušar
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An end-to-end deep learning approach for landmark detection and matching in medical images
2020
Monika Grewal
Timo M. Deist
J. Wiersma
Peter A. N. Bosman
Tanja Alderliesten
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Citations (8)
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