@inproceedings{54449,
  author       = {{KOUAGOU, N'Dah Jean and Demir, Caglar and Zahera, Hamada Mohamed Abdelsamee and Wilke, Adrian and Heindorf, Stefan and Li, Jiayi and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{Companion Proceedings of the ACM on Web Conference 2024}},
  location     = {{Singapore}},
  publisher    = {{ACM}},
  title        = {{{Universal Knowledge Graph Embeddings}}},
  doi          = {{10.1145/3589335.3651978}},
  year         = {{2024}},
}

@unpublished{54448,
  abstract     = {{Graph Neural Networks (GNNs) are effective for node classification in
graph-structured data, but they lack explainability, especially at the global
level. Current research mainly utilizes subgraphs of the input as local
explanations or generates new graphs as global explanations. However, these
graph-based methods are limited in their ability to explain classes with
multiple sufficient explanations. To provide more expressive explanations, we
propose utilizing class expressions (CEs) from the field of description logic
(DL). Our approach explains heterogeneous graphs with different types of nodes
using CEs in the EL description logic. To identify the best explanation among
multiple candidate explanations, we employ and compare two different scoring
functions: (1) For a given CE, we construct multiple graphs, have the GNN make
a prediction for each graph, and aggregate the predicted scores. (2) We score
the CE in terms of fidelity, i.e., we compare the predictions of the GNN to the
predictions by the CE on a separate validation set. Instead of subgraph-based
explanations, we offer CE-based explanations.}},
  author       = {{Köhler, Dominik and Heindorf, Stefan}},
  booktitle    = {{arXiv:2405.12654}},
  title        = {{{Utilizing Description Logics for Global Explanations of Heterogeneous  Graph Neural Networks}}},
  year         = {{2024}},
}

@inproceedings{52231,
  author       = {{Blübaum, Lukas and Heindorf, Stefan}},
  booktitle    = {{The World Wide Web Conference (WWW)}},
  location     = {{Singapore}},
  pages        = {{2204–2215}},
  publisher    = {{ACM}},
  title        = {{{Causal Question Answering with Reinforcement Learning}}},
  doi          = {{10.1145/3589334.3645610}},
  year         = {{2024}},
}

@inproceedings{54468,
  author       = {{Awais, Muhammad and Ghasemzadeh Mohammadi, Hassan and Platzner, Marco}},
  booktitle    = {{To apear in IEEE ISVLSI 2024}},
  location     = {{Knoxville, Tennessee, USA}},
  title        = {{{DeepApprox: Rapid Deep Learning based Design Space Exploration of Approximate Circuits via Check-pointing}}},
  year         = {{2024}},
}

@article{54548,
  author       = {{Prager, Raphael Patrick and Trautmann, Heike}},
  journal      = {{IEEE Transactions on Evolutionary Computation}},
  keywords     = {{Optimization, Evolutionary computation, Benchmark testing, Hyperparameter optimization, Portfolios, Extraterrestrial measurements, Dispersion, Exploratory landscape analysis, mixed-variable problem, mixed search spaces, automated algorithm selection}},
  pages        = {{1--1}},
  title        = {{{Exploratory Landscape Analysis for Mixed-Variable Problems}}},
  doi          = {{10.1109/TEVC.2024.3399560}},
  year         = {{2024}},
}

@inproceedings{54559,
  author       = {{Tissen, Denis and Wiederkehr, Ingrid and Koldewey, Christian and Dumitrescu, Roman}},
  booktitle    = {{2023 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)}},
  publisher    = {{IEEE}},
  title        = {{{Exploring data-driven model-based systems engineering: a systematic literature review}}},
  doi          = {{10.1109/ictmod59086.2023.10438129}},
  year         = {{2024}},
}

@inbook{54412,
  author       = {{Firmansyah, Asep Fajar and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{The Semantic Web}},
  isbn         = {{9783031606250}},
  issn         = {{0302-9743}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{ESLM: Improving Entity Summarization by Leveraging Language Models}}},
  doi          = {{10.1007/978-3-031-60626-7_9}},
  year         = {{2024}},
}

@inbook{54580,
  author       = {{Mahmood, Yasir and Virtema, Jonni and Barlag, Timon and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{Lecture Notes in Computer Science}},
  isbn         = {{9783031569395}},
  issn         = {{0302-9743}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{Computing Repairs Under Functional and Inclusion Dependencies via Argumentation}}},
  doi          = {{10.1007/978-3-031-56940-1_2}},
  year         = {{2024}},
}

@inproceedings{54642,
  author       = {{Dietrich, K. and Prager, R. and Doerr, C. and Trautmann, Heike}},
  booktitle    = {{Parallel Problem Solving from Nature — PPSN XVIII}},
  editor       = {{Affenzeller, M and Winkler, S and Kononova, A and Trautmann, H and Tušar, T and Machado, P and Baeck, T}},
  pages        = {{1--14}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Hybridizing Target- and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box Optimization}}},
  year         = {{2024}},
}

@inbook{52759,
  author       = {{Preuß, Oliver Ludger and Rook, Jeroen and Trautmann, Heike}},
  booktitle    = {{Applications of Evolutionary Computation}},
  isbn         = {{9783031568510}},
  issn         = {{0302-9743}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems}}},
  doi          = {{10.1007/978-3-031-56852-7_20}},
  year         = {{2024}},
}

@inproceedings{52749,
  author       = {{Seiler, Moritz and Rook, Jeroen and Heins, Jonathan and Preuß, Oliver Ludger and Bossek, Jakob and Trautmann, Heike}},
  booktitle    = {{2023 IEEE Symposium Series on Computational Intelligence (SSCI)}},
  publisher    = {{IEEE}},
  title        = {{{Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP}}},
  doi          = {{10.1109/ssci52147.2023.10372008}},
  year         = {{2024}},
}

@article{53309,
  author       = {{Hölsch, Lukas and Brosch, Anian and Steckel, Richard and Braun, Tristan and Wendel, Sebastian and Böcker, Joachim and Wallscheid, Oliver}},
  issn         = {{0885-8969}},
  journal      = {{IEEE Transactions on Energy Conversion}},
  keywords     = {{Electrical and Electronic Engineering, Energy Engineering and Power Technology}},
  pages        = {{1--12}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Insights and Challenges of Co-Simulation-Based Optimal Pulse Pattern Evaluation for Electric Drives}}},
  doi          = {{10.1109/tec.2024.3374962}},
  year         = {{2024}},
}

@inproceedings{54742,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>The specification of requirements and tests are crucial activities in automotive development projects. However, due to the increasing complexity of automotive systems, practitioners fail to specify requirements and tests for distributed and evolving systems with complex interactions when following traditional development processes. To address this research gap, we propose a technique that starts with the early identification of validation concerns from a stakeholder perspective, which we use to systematically design tests that drive a scenario‐based modeling and analysis of system requirements. To ensure complete and consistent requirements and test specifications in a form that is required in automotive development projects, we develop a Model‐Based Systems Engineering (MBSE) methodology. This methodology supports system architects and test designers in the collaborative application of our technique and in maintaining a central system model, in order to automatically derive the required specifications. We evaluate our methodology by applying it at KOSTAL (Tier1 supplier) and within student projects as part of the masters program Embedded Systems Engineering. Our study corroborates that our methodology is applicable and improves existing requirements and test specification processes by supporting the integrated and stakeholder‐focused modeling of product and validation systems, where the early definition of stakeholder and validation concerns fosters a problem‐oriented, iterative and test‐driven requirements modeling.</jats:p>}},
  author       = {{Wiecher, Carsten and Mandel, Constantin and Günther, Matthias and Fischbach, Jannik and Greenyer, Joel and Greinert, Matthias and Wolff, Carsten and Dumitrescu, Roman and Mendez, Daniel and Albers, Albert}},
  booktitle    = {{Systems Engineering}},
  issn         = {{1098-1241}},
  location     = {{Würzburg}},
  publisher    = {{Wiley}},
  title        = {{{Model‐based analysis and specification of functional requirements and tests for complex automotive systems}}},
  doi          = {{10.1002/sys.21748}},
  year         = {{2024}},
}

@article{54741,
  abstract     = {{<jats:title>Abstract</jats:title>
               <jats:p>Production planning and control (PPC) is a central element in the production system and represents a key element of the transformation towards Industry 4.0. Artificial intelligence (AI) is used to evaluate information and to model and optimize systems. The article gives a systematic overview of application potentials of AI in PPS and discusses the challenges on the way towards AI-based production planning and control.</jats:p>}},
  author       = {{von Enzberg, Sebastian and Weller, Julian and Pöhler, Pascal and Kühn, Arno and Römer, Michael and Dumitrescu, Roman}},
  issn         = {{2511-0896}},
  journal      = {{Zeitschrift für wirtschaftlichen Fabrikbetrieb}},
  number       = {{5}},
  pages        = {{349--355}},
  publisher    = {{Walter de Gruyter GmbH}},
  title        = {{{Künstliche Intelligenz in der Produktionsplanung und -steuerung}}},
  doi          = {{10.1515/zwf-2024-1065}},
  volume       = {{119}},
  year         = {{2024}},
}

@inproceedings{54743,
  author       = {{Koldewey, Christian and Ebel, Martin and Winter, Johannes and Dumitrescu, Roman}},
  booktitle    = {{Proceedings of the 57th Hawaii International Conference on System Sciences | 2024}},
  location     = {{Hawaii}},
  title        = {{{Data-driven Services and Servitization in Manufacturing: Innovation, Engineering, Transformation, and Management}}},
  year         = {{2024}},
}

@inproceedings{54751,
  author       = {{Heuwinkel, Tim and Merkelbach, Silke and Janssen, Nils and Enzberg, Sebastian von and Dumitrescu, Roman}},
  publisher    = {{LibreCat University}},
  title        = {{{Leveraging self-supervised learning for vibration data in industrial separators}}},
  doi          = {{10.24405/15306}},
  year         = {{2024}},
}

@inproceedings{54752,
  author       = {{Merkelbach, Silke and Diedrich, Alexander and Von Enzberg, Sebastian and Niggemann, Oliver and Dumitrescu, Roman}},
  publisher    = {{LibreCat University}},
  title        = {{{Towards the generation of models for fault diagnosis of CPS using VQA models}}},
  doi          = {{10.24405/15314}},
  year         = {{2024}},
}

@inproceedings{54738,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>A volatile environment and an increasing number of products along with a growing range of functions pose a challenge for companies when it comes to further development. Existing methods are no longer sufficient to cope with these challenges. In order to develop new methods, the process and challenges in the advancement of product portfolios must be understood. In this paper we conduct an interview study with ten experts to gain a better understanding of the advancement of product portfolios. Triggers, changes and actions are examined and goals and requirements for new methods are derived.</jats:p>}},
  author       = {{Schlegel, Michael and Just, Markus and Wiederkehr, Ingrid and Thümmel, Carsten and Kempf, Christoph and Koldewey, Christian and Dumitrescu, Roman and Albers, Albert}},
  booktitle    = {{Proceedings of the Design Society}},
  issn         = {{2732-527X}},
  location     = {{Cavtat, Dubrovnik, Croatia}},
  pages        = {{745--754}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Future-robust product portfolio development: insights into the advancement of product portfolios in companies – an interview study}}},
  doi          = {{10.1017/pds.2024.77}},
  volume       = {{4}},
  year         = {{2024}},
}

@inproceedings{54735,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Shorter product lifecycles are also leading to even shorter planning times for the development of production systems. In most companies, the restructuring is carried out within a few weeks during the annual holidays. Digital tools such as simulations or the digital twin are used to avoid delaying the restructuring during this time. However, the introduction of a 3D model of the factory is often the first point of failure for many companies. This article proposes a six-step process model that enables the transition from 2D to 3D design. The process model was evaluated in a research project.</jats:p>}},
  author       = {{Disselkamp, Jan-Philipp and Grothe, Robin and Lick, Jonas and Schütte, Ben and Brüne, Sascha and Schröder, Luca and Dumitrescu, Roman}},
  booktitle    = {{Proceedings of the Design Society}},
  issn         = {{2732-527X}},
  location     = {{Cavtat, Dubrovnik, Croatia}},
  pages        = {{1979--1988}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Towards the digital factory twin – design guide for creating a 3D factory model}}},
  doi          = {{10.1017/pds.2024.200}},
  volume       = {{4}},
  year         = {{2024}},
}

@inproceedings{54734,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Design is associated with many benefits for businesses, ranging from successful products and brands to greater economic success. However, companies still have difficulties in unlocking the potential of design. This publication develops a literature-based conceptual model that outlines necessary organizational factors and their interrelation to create an environment for design and designers to thrive. At the same time, it explains why companies are having difficulties in leveraging the benefits of design. Further research directions are derived to strengthen the role of design and designers.</jats:p>}},
  author       = {{Stöhr, Bernd and Koldewey, Christian and Dumitrescu, Roman}},
  booktitle    = {{Proceedings of the Design Society}},
  issn         = {{2732-527X}},
  location     = {{Cavtat, Dubrovnik, Croatia}},
  pages        = {{353--362}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Drivers and barriers for design and designers in interdisciplinary product development – a literature-based conceptual model}}},
  doi          = {{10.1017/pds.2024.38}},
  volume       = {{4}},
  year         = {{2024}},
}