Publications

Christoph Buchheim, Dorothee Henke, and Jannik Irmai. The stochastic bilevel continuous knapsack problem with uncertain follower's objective. J. Optim. Theory Appl., Springer Science and Business Media LLC, May 2022.

Jonas Coelho Kasmanas, Alexander Bartholomäus, Felipe Borim Corrêa, Tamara Tal, Nico Jehmlich, Gunda Herberth, Martin von Bergen, Peter F Stadler, André Carlos Ponce de Leon Ferreira de Carvalho, and Ulisses Nunes da Rocha. HumanMetagenomeDB: a public repository of curated and standardized metadata for human metagenomes. Nucleic Acids Res., (49)D1:D743--D750, Oxford University Press (OUP), January 2021.

Franz Baader, and Deepak Kapur. Deciding the word problem for ground and strongly shallow identities w.R.T. Extensional symbols. J. Automat. Reason., (66)3:301--329, Springer Science and Business Media LLC, August 2022.

Ringo Baumann, Gerhard Brewka, and Markus Ulbricht. Shedding new light on the foundations of abstract argumentation: Modularization and weak admissibility. Artif. Intell., (310)103742:103742, Elsevier BV, September 2022.

Sourish Dasgupta, Ankur Padia, Gaurav Maheshwari, Priyansh Trivedi, and Jens Lehmann. Formal ontology learning from English IS-A sentences. arXiv, 2018.

Mohamed Nadjib Mami, Damien Graux, Simon Scerri, Hajira Jabeen, Sören Auer, and Jens Lehmann. Squerall: Virtual ontology-based access to heterogeneous and large data sources. Lecture Notes in Computer Science, 229--245, Springer International Publishing, Cham, 2019.

Michelle Pistner Nixon, Jeffrey Letourneau, Lawrence A David, Nicole A Lazar, Sayan Mukherjee, and Justin D Silverman. Scale Reliant Inference. arXiv, 2022.

P Nardini, M Chen, R Bujack, M Bottinger, and G Scheuermann. A testing environment for continuous colormaps. IEEE Trans. Vis. Comput. Graph., (27)2:1043--1053, Institute of Electrical and Electronics Engineers (IEEE), February 2021.

Marc Satkowski, Weizhou Luo, and Raimund Dachselt. A visualization authoring model for Post-WIMP interfaces. arXiv, 2021.

Jana Klimpke, and Sebastian Rudolph. Visualization of statistical information in concept lattice diagrams. Formal Concept Analysis, 208--223, Springer International Publishing, Cham, 2021.

Khalid Al Khatib, Michael Völske, Shahbaz Syed, Nikolay Kolyada, and Benno Stein. Exploiting Personal Characteristics of Debaters for Predicting Persuasiveness. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, 2020. URL

David Georg Reichelt, Lars-Peter Meyer, and Stefan Kühne. Better a Microbenchmark on a Cluster than a User at the Office: Flink Cluster Benchmarking. In Udo Kelter (Eds.), Softwaretechnik-Trends Band 39, Heft 3, 52--54, Gesellschaft für Informatik e.V., Bonn, 2019. [PUMA: topic_lifescience]

Gerhard Brewka, Torsten Schaub, and Stefan Woltran. Interview with Gerhard brewka. KI - Künstl. Intell., (32)2-3:219--221, Springer Science and Business Media LLC, August 2018.

Maurice Funk, Jean Christoph Jung, and Carsten Lutz. Frontiers and exact learning of ELI queries under DL-Lite ontologies. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence Organization, California, July 2022.

Mirele Costa, João Oliveira, Waldeyr C. da Silva, Rituparno Sen, Jörg Fallmann, Peter Stadler, and Maria Walter. Machine learning studies of non-coding RNAs based on artificially constructed training data. Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, SCITEPRESS - Science and Technology Publications, 2021.

Jakob Bossek, Katrin Casel, Pascal Kerschke, and Frank Neumann. The node weight dependent traveling salesperson problem. Proceedings of the 2020 Genetic and Evolutionary Computation Conference, ACM, New York, NY, USA, June 2020.

Mohamed Nadjib Mami, Damien Graux, Simon Scerri, Hajira Jabeen, Sören Auer, and Jens Lehmann. How to feed the squerall with RDF and other data nuts?. Aachen, Germany : RWTH Aachen, 2019.

Matthew Leinhauser, René Widera, Sergei Bastrakov, Alexander Debus, Michael Bussmann, and Sunita Chandrasekaran. Metrics and design of an instruction roofline model for AMD GPUs. ACM Trans. Parallel Comput., (9)1:1--14, Association for Computing Machinery (ACM), March 2022.

Fabian Hart, Martin Waltz, and Ostap Okhrin. Missing velocity in dynamic obstacle avoidance based on Deep Reinforcement Learning. arXiv, 2021.