Publications

Christopher Rost, Kevin Gomez, Matthias Täschner, Philip Fritzsche, Lucas Schons, Lukas Christ, Timo Adameit, Martin Junghanns, and Erhard Rahm. Distributed temporal graph analytics with GRADOOP. VLDB J., (31)2:375--401, Springer Science and Business Media LLC, March 2022. [PUMA: topic_graph area_bigdata]

Daniel Obraczka, and Erhard Rahm. Fast hubness-reduced nearest neighbor search for entity alignment in Knowledge Graphs. SN Comput. Sci., (3)6Springer Science and Business Media LLC, October 2022. [PUMA: topic_graph area_bigdata]

Philippe Krajsic. Artificial Intelligence in Process Mining. 2022. [PUMA: topic_engineering]

Raphael Patrick Prager, Moritz Vinzent Seiler, Heike Trautmann, and Pascal Kerschke. Automated algorithm selection in single-objective continuous optimization: A comparative study of deep learning and landscape analysis methods. Lecture Notes in Computer Science, 3--17, Springer International Publishing, Cham, 2022. [PUMA: topic_engineering topic_lifescience]

Pelin Aspar, Vera Steinhoff, Lennart Schäpermeier, Pascal Kerschke, Heike Trautmann, and Christian Grimme. The objective that freed me: a multi-objective local search approach for continuous single-objective optimization. Nat. Comput., Springer Science and Business Media LLC, September 2022. [PUMA: topic_engineering]

Jonathan Heins, Jeroen Rook, Lennart Schäpermeier, Pascal Kerschke, Jakob Bossek, and Heike Trautmann. BBE: Basin-based evaluation of multimodal multi-objective optimization problems. Lecture Notes in Computer Science, 192--206, Springer International Publishing, Cham, 2022. [PUMA: topic_engineering]

Moritz Vinzent Seiler, Raphael Patrick Prager, Pascal Kerschke, and Heike Trautmann. A collection of deep learning-based feature-free approaches for characterizing single-objective continuous fitness landscapes. Proceedings of the Genetic and Evolutionary Computation Conference, ACM, New York, NY, USA, July 2022. [PUMA: topic_engineering topic_lifescience]

Lennart Schneider, Lennart Schäpermeier, Raphael Patrick Prager, Bernd Bischl, Heike Trautmann, and Pascal Kerschke. HPO $$ ELA: Investigating hyperparameter optimization landscapes by means of exploratory landscape analysis. Lecture Notes in Computer Science, 575--589, Springer International Publishing, Cham, 2022. [PUMA: topic_engineering]

Lennart Schäpermeier, Christian Grimme, and Pascal Kerschke. MOLE. Proceedings of the Genetic and Evolutionary Computation Conference, ACM, New York, NY, USA, July 2022. [PUMA: topic_engineering]

Martin Waltz, Abhay Kumar Singh, and Ostap Okhrin. Vulnerability-CoVaR: investigating the crypto-market. Quant. Finance, (22)9:1731--1745, Informa UK Limited, September 2022. [PUMA: topic_engineering]