Shallow Water DG Simulations on FPGAs: Design and Comparison of a Novel Code Generation Pipeline
C. Alt, T. Kenter, S. Faghih-Naini, J. Faj, J.-O. Opdenhövel, C. Plessl, V. Aizinger, J. Hönig, H. Köstler, in: Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, 2023.

Probabilistic Scoring Lists for Interpretable Machine Learning
J.M. Hanselle, J. Fürnkranz, E. Hüllermeier, in: 26th International Conference on Discovery Science , Springer Nature Switzerland, Cham, 2023, pp. 189–203.

iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams
M. Muschalik, F. Fumagalli, B. Hammer, E. Huellermeier, in: Machine Learning and Knowledge Discovery in Databases: Research Track, Springer Nature Switzerland, Cham, 2023.

Deciding Subsumption in Defeasible $$\'6dathcal ELI_\'62ot $$ with Typicality Models
I. de Camargo e Souza Câmara, A.-Y. Turhan, in: Logics in Artificial Intelligence, Springer Nature Switzerland, Cham, 2023.

Integrating Safety Guarantees into the Learning Classifier System XCS
T. Hansmeier, M. Platzner, in: Applications of Evolutionary Computation, EvoApplications 2022, Proceedings, Springer International Publishing, 2022, pp. 386–401.

Overview of Touché 2022: Argument Retrieval
A. Bondarenko, M. Fröbe, J. Kiesel, S. Syed, T. Gurcke, M. Beloucif, A. Panchenko, C. Biemann, B. Stein, H. Wachsmuth, M. Potthast, M. Hagen, in: Lecture Notes in Computer Science, Springer International Publishing, Cham, 2022.

Towards Situational Process Management for Professional Education Programmes
D. Wolters, G. Engels, in: D. Taibi, M. Kuhrmann, T. Mikkonen, J. Klünder, P. Abrahamsson (Eds.), Product-Focused Software Process Improvement, Springer International Publishing, Cham, 2022, pp. 235–242.

Server Cloud Scheduling
M. Maack, F. Meyer auf der Heide, S. Pukrop, in: Approximation and Online Algorithms, Springer International Publishing, Cham, 2022.

Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction
M.C. Wohlleben, A. Bender, S. Peitz, W. Sextro, in: Machine Learning, Optimization, and Data Science, Springer International Publishing, Cham, 2022.

TaOnto: Unsupervised Semantification with Knowledge Graph Embeddings
H.M.A. Zahera, S. Heindorf, S. Balke, J. Haupt, M. Voigt, C. Walter, F. Witter, A.-C. Ngonga Ngomo, in: The Semantic Web: ESWC 2022 Satellite Events, Springer International Publishing, Cham, 2022.

MultPAX: Keyphrase Extraction Using Language Models and Knowledge Graphs
H.M.A. Zahera, D. Vollmers, M.A. Sherif, A.-C.N. Ngomo, in: The Semantic Web – ISWC 2022, Springer International Publishing, Cham, 2022.

Learning Concept Lengths Accelerates Concept Learning in ALC
N.J. KOUAGOU, S. Heindorf, C. Demir, A.-C. Ngonga Ngomo, in: The Semantic Web, Springer International Publishing, Cham, 2022.

Drift Detection in Text Data with Document Embeddings
R. Feldhans, A. Wilke, S. Heindorf, M.H. Shaker, B. Hammer, A.-C. Ngonga Ngomo, E. Hüllermeier, in: Intelligent Data Engineering and Automated Learning – IDEAL 2021, Cham, 2021.

An OCR Pipeline and Semantic Text Analysis for Comics
R. Hartel, A. Dunst, in: MANPU 2020: The 4th International Workshop on CoMics ANalysis, Processing and Understanding@Pattern Recognition. ICPR International Workshops and Challenges, Cham, 2021.

Efficient Adaptively-Secure IB-KEMs and VRFs via Near-Collision Resistance
T. Jager, R. Kurek, D. Niehues, in: Public-Key Cryptography – PKC 2021, Cham, 2021.

Verifiable Random Functions with Optimal Tightness
D. Niehues, in: Public-Key Cryptography – PKC 2021, Cham, 2021.

Ranking Structured Objects with Graph Neural Networks
C. Damke, E. Hüllermeier, in: C. Soares, L. Torgo (Eds.), Proceedings of The 24th International Conference on Discovery Science (DS 2021), Springer, 2021, pp. 166–180.

Beep-And-Sleep: Message and Energy Efficient Set Cover
T. Götte, C. Kolb, C. Scheideler, J. Werthmann, in: Algorithms for Sensor Systems (ALGOSENSORS ’21), Cham, 2021.

Issuer-Hiding Attribute-Based Credentials
J. Bobolz, F. Eidens, S. Krenn, S. Ramacher, K. Samelin, in: Cryptology and Network Security, Springer International Publishing, Cham, 2021.

Designing a Risk Assessment Tool for Artificial Intelligence Systems
P.R. Nagbøl, O. Müller, O. Krancher, in: The Next Wave of Sociotechnical Design, Springer International Publishing, Cham, 2021.