C. Alt et al., “Shallow Water DG Simulations on FPGAs: Design and Comparison of a Novel Code Generation Pipeline,” in Lecture Notes in Computer Science, Cham: Springer Nature Switzerland, 2023.
LibreCat: /record/46191
DOI: 10.1007/978-3-031-32041-5_5

J. M. Hanselle, J. Fürnkranz, and E. Hüllermeier, “Probabilistic Scoring Lists for Interpretable Machine Learning,”10.1007/978-3-031-45275-8_13__in 26th International Conference on Discovery Science , Porto, 2023, vol. 14050, pp. 189–203, doi:10.1007/978-3-031-45275-8_13 .
LibreCat: /record/51373
DOI: 10.1007/978-3-031-45275-8_13

I. de Camargo e Souza Câmara and A.-Y. Turhan, “Deciding Subsumption in Defeasible $$\'6dathcal ELI_$$ with Typicality Models,” in Logics in Artificial Intelligence, Cham: Springer Nature Switzerland, 2023.
LibreCat: /record/52859
DOI: 10.1007/978-3-031-43619-2_36

N. J. Kouagou, S. Heindorf, C. Demir, and A.-C. Ngonga Ngomo, “Neural Class Expression Synthesis in ALCHIQ(D),” in Machine Learning and Knowledge Discovery in Databases: Research Track, Cham: Springer Nature Switzerland, 2023.
LibreCat: /record/47421
DOI: 10.1007/978-3-031-43421-1_12

T. Hansmeier and M. Platzner, “Integrating Safety Guarantees into the Learning Classifier System XCS,”10.1007/978-3-031-02462-7_25__in Applications of Evolutionary Computation, EvoApplications 2022, Proceedings, Madrid, 2022, vol. 13224, pp. 386–401, doi:10.1007/978-3-031-02462-7_25 .
LibreCat: /record/30971
DOI: 10.1007/978-3-031-02462-7_25

A. Bondarenko et al., “Overview of Touché 2022: Argument Retrieval,” in Lecture Notes in Computer Science, Cham: Springer International Publishing, 2022.
LibreCat: /record/34077
DOI: 10.1007/978-3-030-99739-7_43

D. Wolters and G. Engels, “Towards Situational Process Management for Professional Education Programmes,” in Product-Focused Software Process Improvement, vol. 13709, D. Taibi, M. Kuhrmann, T. Mikkonen, J. Klünder, and P. Abrahamsson, Eds. Cham: Springer International Publishing, 2022, pp. 235–242.
LibreCat: /record/34292
DOI: 10.1007/978-3-031-21388-5_16

M. Maack, F. Meyer auf der Heide, and S. Pukrop, “Server Cloud Scheduling,” in Approximation and Online Algorithms, Cham: Springer International Publishing, 2022.
LibreCat: /record/29872
DOI: 10.1007/978-3-030-92702-8_10

M. C. Wohlleben, A. Bender, S. Peitz, and W. Sextro, “Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction,” in Machine Learning, Optimization, and Data Science, Cham: Springer International Publishing, 2022.
LibreCat: /record/29727
DOI: 10.1007/978-3-030-95470-3_8

H. M. A. Zahera et al., “Tab2Onto: Unsupervised Semantification with Knowledge Graph Embeddings,” in The Semantic Web: ESWC 2022 Satellite Events, Cham: Springer International Publishing, 2022.
LibreCat: /record/33738
DOI: 10.1007/978-3-031-11609-4_9

H. M. A. Zahera, D. Vollmers, M. A. Sherif, and A.-C. N. Ngomo, “MultPAX: Keyphrase Extraction Using Language Models and Knowledge Graphs,” in The Semantic Web – ISWC 2022, Cham: Springer International Publishing, 2022.
LibreCat: /record/38506
DOI: 10.1007/978-3-031-19433-7_18

N. J. KOUAGOU, S. Heindorf, C. Demir, and A.-C. Ngonga Ngomo, “Learning Concept Lengths Accelerates Concept Learning in ALC,” in The Semantic Web, Cham: Springer International Publishing, 2022.
LibreCat: /record/33740
DOI: 10.1007/978-3-031-06981-9_14

R. Feldhans et al., “Drift Detection in Text Data with Document Embeddings,” in Intelligent Data Engineering and Automated Learning – IDEAL 2021, Cham, 2021.
LibreCat: /record/29046
DOI: 10.1007/978-3-030-91608-4_11

R. Hartel and A. Dunst, “An OCR Pipeline and Semantic Text Analysis for Comics,” in MANPU 2020: The 4th International Workshop on coMics ANalysis, Processing and Understanding@Pattern Recognition. ICPR International Workshops and Challenges, 2021.
LibreCat: /record/21378
DOI: 10.1007/978-3-030-68780-9_19

T. Jager, R. Kurek, and D. Niehues, “Efficient Adaptively-Secure IB-KEMs and VRFs via Near-Collision Resistance,” in Public-Key Cryptography – PKC 2021, Cham, 2021.
LibreCat: /record/22057
DOI: 10.1007/978-3-030-75245-3_22

D. Niehues, “Verifiable Random Functions with Optimal Tightness,” in Public-Key Cryptography – PKC 2021, Cham, 2021.
LibreCat: /record/22059
DOI: 10.1007/978-3-030-75248-4_3

C. Damke and E. Hüllermeier, “Ranking Structured Objects with Graph Neural Networks,”10.1007/978-3-030-88942-5__in Proceedings of The 24th International Conference on Discovery Science (DS 2021), Halifax, Canada, 2021, vol. 12986, pp. 166–180, doi:10.1007/978-3-030-88942-5 .
LibreCat: /record/27381
DOI: 10.1007/978-3-030-88942-5
arXiv: 2104.08869

T. Götte, C. Kolb, C. Scheideler, and J. Werthmann, “Beep-And-Sleep: Message and Energy Efficient Set Cover,” in Algorithms for Sensor Systems (ALGOSENSORS ’21), Cham, 2021.
LibreCat: /record/26888
DOI: 10.1007/978-3-030-89240-1_7

J. Bobolz, F. Eidens, S. Krenn, S. Ramacher, and K. Samelin, “Issuer-Hiding Attribute-Based Credentials,”10.1007/978-3-030-92548-2_9__2021, doi:10.1007/978-3-030-92548-2_9 .
LibreCat: /record/29566
DOI: 10.1007/978-3-030-92548-2_9

P. R. Nagbøl, O. Müller, and O. Krancher, “Designing a Risk Assessment Tool for Artificial Intelligence Systems,” in The Next Wave of Sociotechnical Design, Cham: Springer International Publishing, 2021.
LibreCat: /record/32868
DOI: 10.1007/978-3-030-82405-1_32