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ORCIDRaphael Patrick Prager
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2020 – today
- 2024
[j1]Raphael Patrick Prager
, Heike Trautmann:
Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python. Evol. Comput. 32(3): 211-216 (2024)- [c10]Konstantin Dietrich, Raphael Patrick Prager, Carola Doerr, Heike Trautmann:
Hybridizing Target- and SHAP-Encoded Features for Algorithm Selection in Mixed-Variable Black-Box Optimization. PPSN (2) 2024: 154-169 - [i5]Raphael Patrick Prager, Heike Trautmann:
Exploratory Landscape Analysis for Mixed-Variable Problems. CoRR abs/2402.16467 (2024) - [i4]Konstantin Dietrich, Raphael Patrick Prager, Carola Doerr, Heike Trautmann:
Hybridizing Target- and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box Optimization. CoRR abs/2407.07439 (2024) - 2023
- [c9]Raphael Patrick Prager, Heike Trautmann:
Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features. EvoApplications@EvoStar 2023: 411-425 - [c8]Raphael Patrick Prager, Konstantin Dietrich, Lennart Schneider, Lennart Schäpermeier, Bernd Bischl, Pascal Kerschke, Heike Trautmann, Olaf Mersmann:
Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features. FOGA 2023: 129-139 - [c7]Raphael Patrick Prager, Heike Trautmann:
Investigating the Viability of Existing Exploratory Landscape Analysis Features for Mixed-Integer Problems. GECCO Companion 2023: 451-454 - [i3]Raphael Patrick Prager:
Improving Automated Algorithm Selection by Advancing Fitness Landscape Analysis. CoRR abs/2312.03105 (2023) - 2022
- [c6]Moritz Vinzent Seiler, Raphael Patrick Prager, Pascal Kerschke, Heike Trautmann:
A collection of deep learning-based feature-free approaches for characterizing single-objective continuous fitness landscapes. GECCO 2022: 657-665 - [c5]Raphael Patrick Prager, Moritz Vinzent Seiler, Heike Trautmann, Pascal Kerschke:
Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods. PPSN (1) 2022: 3-17 - [c4]Lennart Schneider, Lennart Schäpermeier, Raphael Patrick Prager, Bernd Bischl, Heike Trautmann, Pascal Kerschke:
HPO ˟ ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis. PPSN (1) 2022: 575-589 - [i2]Moritz Vinzent Seiler, Raphael Patrick Prager, Pascal Kerschke, Heike Trautmann:
A Collection of Deep Learning-based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes. CoRR abs/2204.05752 (2022) - [i1]Lennart Schneider, Lennart Schäpermeier, Raphael Patrick Prager, Bernd Bischl, Heike Trautmann, Pascal Kerschke:
HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis. CoRR abs/2208.00220 (2022) - 2021
- [c3]Raphael Patrick Prager, Moritz Vinzent Seiler, Heike Trautmann, Pascal Kerschke:
Towards Feature-Free Automated Algorithm Selection for Single-Objective Continuous Black-Box Optimization. SSCI 2021: 1-8 - 2020
- [c2]Raphael Patrick Prager, Heike Trautmann, Hao Wang, Thomas Bäck, Pascal Kerschke:
Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis. SSCI 2020: 996-1003
2010 – 2019
- 2019
- [c1]Raphael Patrick Prager, Laura Troost, Simeon Brüggenjürgen, David Melhart, Georgios N. Yannakakis, Mike Preuss:
An Experiment on Game Facet Combination\. CoG 2019: 1-8
Coauthor Index
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last updated on 2024-10-04 21:02 CEST by the dblp team
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