An Experiment on Game Facet Combination . - Raphael Patrick Prager; Laura Troost; Simeon Brüggenjürgen; David Melhart; Georgios N. Yannakakis; Mike Preuss (CoG, 2019)

Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis. - Raphael Patrick Prager; Heike Trautmann; Hao Wang 025; Thomas Bäck; Pascal Kerschke (SSCI, 2020)

Towards Feature-Free Automated Algorithm Selection for Single-Objective Continuous Black-Box Optimization. - Raphael Patrick Prager; Moritz Vinzent Seiler; Heike Trautmann; Pascal Kerschke (SSCI, 2021)

A collection of deep learning-based feature-free approaches for characterizing single-objective continuous fitness landscapes. - Moritz Vinzent Seiler; Raphael Patrick Prager; Pascal Kerschke; Heike Trautmann (GECCO, 2022)

Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods. - Raphael Patrick Prager; Moritz Vinzent Seiler; Heike Trautmann; Pascal Kerschke (PPSN (1), 2022)

HPO ˟ ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis. - Lennart Schneider; Lennart Schäpermeier; Raphael Patrick Prager; Bernd Bischl; Heike Trautmann; Pascal Kerschke (PPSN (1), 2022)

HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis. - Lennart Schneider; Lennart Schäpermeier; Raphael Patrick Prager; Bernd Bischl; Heike Trautmann; Pascal Kerschke (CoRR, 2022)

Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features. - Raphael Patrick Prager; Heike Trautmann (EvoApplications@EvoStar, 2023)

Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features. - Raphael Patrick Prager; Konstantin Dietrich; Lennart Schneider; Lennart Schäpermeier; Bernd Bischl; Pascal Kerschke; Heike Trautmann; Olaf Mersmann (FOGA, 2023)

Investigating the Viability of Existing Exploratory Landscape Analysis Features for Mixed-Integer Problems. - Raphael Patrick Prager; Heike Trautmann (GECCO Companion, 2023)

Improving Automated Algorithm Selection by Advancing Fitness Landscape Analysis. - Raphael Patrick Prager (CoRR, 2023)

Hybridizing Target- and SHAP-Encoded Features for Algorithm Selection in Mixed-Variable Black-Box Optimization. - Konstantin Dietrich; Raphael Patrick Prager; Carola Doerr; Heike Trautmann (PPSN (2), 2024)

Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python. - Raphael Patrick Prager; Heike Trautmann (Evol. Comput., 2024)

Exploratory Landscape Analysis for Mixed-Variable Problems. - Raphael Patrick Prager; Heike Trautmann (IEEE Trans. Evol. Comput., 2025)