Publications

Pascal Kerschke, and Mike Preuss. Exploratory Landscape Analysis. Proceedings of the Companion Conference on Genetic and Evolutionary Computation, 990–1007, Association for Computing Machinery, New York, NY, USA, Jul 24, 2023. [PUMA: imported topic_engineering yaff] URL

Jonathan Heins, Lennart Schäpermeier, Pascal Kerschke, and Darrell Whitley. Dancing to the State of the Art? How Candidate Lists Influence LKH for Solving the Traveling Salesperson Problem. 2024. [PUMA: imported topic_engineering yaff] URL

Moritz Vinzent Seiler, Pascal Kerschke, and Heike Trautmann. Deep-ELA: Deep Exploratory Landscape Analysis with Self-Supervised Pretrained Transformers for Single- and Multi-Objective Continuous Optimization Problems. 2024. [PUMA: imported topic_engineering yaff] URL

Luc\'ıa Gómez Álvarez, Sebastian Rudolph, and Hannes Straß. Pushing the Boundaries of Tractable Multiperspective Reasoning: A Deduction Calculus for Standpoint EL+. In Pierre Marquis, Tran Cao Son, and Gabriele Kern-Isberner (Eds.), Proceedings of the 20th International Conference on Principles of Knowledge Representation and Reasoning, 333--343, IJCAI Inc, 2023. [PUMA: imported topic_knowledge yaff]

Lennart Schäpermeier, and Pascal Kerschke. Reinvestigating the R2 Indicator: Achieving Pareto Compliance by Integration. 2024. [PUMA: imported topic_engineering xack yaff] URL

Raphael Patrick Prager, Konstantin Dietrich, Lennart Schneider, Lennart Schäpermeier, Bernd Bischl, Pascal Kerschke, Heike Trautmann, and Olaf Mersmann. Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features. FOGA 2023, 129--139, Association for Computing Machinery, United States, Aug 30, 2023. [PUMA: 2024_OA_procedure Benchmarking Black-box_continuous_optimization Exploratory_landscape_analysis Instance_generator Neural_networks topic_engineering yaff] URL

Konstantin Dietrich, Raphael Patrick Prager, Carola Doerr, and Heike Trautmann. Hybridizing Target- and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box Optimization. 2024. [PUMA: imported topic_engineering yaff] URL

Dörthe Arndt, and Stephan Mennicke. Notation3 as an Existential Rule Language. Rules and Reasoning - 7th International Joint Conference on Rules and Reasoning, RuleML+RR 2023, Proceedings, Springer, October 2023. [PUMA: imported topic_graph xack yaff]

Maurice Funk, Simon Hosemann, Jean Christoph Jung, and Carsten Lutz. Towards Ontology Construction with Language Models. 2023. [PUMA: imported topic_knowledge yaff] URL

Carsten Lutz, Quentin Manière, and Robin Nolte. Querying Circumscribed Description Logic Knowledge Bases (Extended Abstract). In Oliver Kutz, Carsten Lutz, and Ana Ozaki (Eds.), Proceedings of the 36th International Workshop on Description Logics (DL 2023) co-located with the 20th International Conference on Principles of Knowledge Representation and Reasoning and the 21st International Workshop on Non-Monotonic Reasoning (KR 2023 and NMR 2023)., Rhodes, Greece, September 2-4, 2023, (3515)CEUR-WS.org, 2023. [PUMA: imported topic_knowledge yaff] URL

Jose Antonio Corona-Gomez, Evelia Lorena Coss-Navarrete, Irving Jair Garcia-Lopez, Christopher Klapproth, Jaime Alejandro Pérez-Patiño, and Selene L. Fernandez-Valverde. Transcriptome-guided annotation and functional classification of long non-coding RNAs in Arabidopsis thaliana. Scientific Reports, (12)1:14063, August 2022. [PUMA: imported topic_lifescience yaff] URL

Lukas Silvester Barth, Fatemeh, Fahimi, Parvaneh Joharinad, Jürgen Jost, and Janis Keck. IsUMap: Manifold Learning and Data Visualization leveraging Vietoris-Rips filtrations. 2024. [PUMA: imported topic_lifescience topic_mathfoundation yaff] URL

Nicola Vassena, and Peter F. Stadler. Unstable cores are the source of instability in chemical reaction networks. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, (480)2285:20230694, 2024. [PUMA: imported topic_mathfoundation yaff] URL

Mikael Vejdemo-Johansson, and Sayan Mukherjee. Multiple hypothesis testing with persistent homology. Foundations of Data Science, (4)4:667--705, 2022. [PUMA: topic_mathfoundation yaff] URL

Lukas Silvester Barth, Fatemeh, Fahimi, Parvaneh Joharinad, Jürgen Jost, Janis Keck, and Thomas Jan Mikhail. Fuzzy simplicial sets and their application to geometric data analysis. 2024. [PUMA: imported topic_lifescience topic_mathfoundation xack yaff] URL

Christopher Klapproth, Siegfried Zöztsche, Felix Kühnl, Jörg Fallmann, Peter F. Stadler, and Sven Findeiß. Tailored machine learning models for functional RNA detection in genome-wide screens (Version 1). Zenodo, July 2023. [PUMA: lifescience mathfoundation xack yaff]

S. Mehrdad, D. Handorf, I. Höschel, K. Karami, J. Quaas, S. Dipu, and C. Jacobi. Arctic Climate Response to European Radiative Forcing: A Deep Learning Approach. EGUsphere, (2024):1--55, 2024. [PUMA: Yaff topic_earthenvironment] URL

Martin Junghanns, André Petermann, Niklas Teichmann, and Erhard Rahm. The Big Picture: Understanding large-scale graphs using Graph Grouping with Gradoop. January 2017. [PUMA: imported xack yaff]

Martin Junghanns, André Petermann, Niklas Teichmann, Kevin Gomez, and Erhard Rahm. Analyzing Extended Property Graphs with Apache Flink. June 2016. [PUMA: imported xack yaff]

Steffen Dienst, and Jonas Beseler. AUTOMATIC ANOMALY DETECTION IN OFFSHORE WIND SCADA DATA. September 2016. [PUMA: imported yaff]