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  • Artelt, André, Fabian Hinder, Valerie Vaquet, Robert Feldhans, and Barbara Hammer. 2021. “Contrastive Explanations for Explaining Model Adaptations.” In Advances in Computational Intelligence, edited by Ignacio Rojas, Gonzalo Joya, and Andreu Català, 101–12. Cham: Springer International Publishing.
  • ———. 2022. “Contrasting Explanations for Understanding and Regularizing Model Adaptations.” Neural Processing Letters. https://doi.org/10.1007/s11063-022-10826-5.
  • Bondarenko, Alexander, Magdalena Wolska, Stefan Heindorf, Lukas Blübaum, Axel-Cyrille Ngonga Ngomo, Benno Stein, Pavel Braslavski, Matthias Hagen, and Martin Potthast. 2022. “CausalQA: A Benchmark for Causal Question Answering.” In COLING, 3296–3308. https://aclanthology.org/2022.coling-1.291.pdf.
  • Feldhans, Robert, and Barbara Hammer. (to be published). “Drift Explanation with Difference Accentuation.”
  • Feldhans, Robert, Adrian Wilke, Stefan Heindorf, Mohammad Hossein Shaker, Barbara Hammer, Axel-Cyrille Ngonga Ngomo, and Eyke Hüllermeier. 2021. “Drift Detection in Text Data with Document Embeddings.” In Intelligent Data Engineering and Automated Learning – IDEAL 2021, edited by Hujun Yin, David Camacho, Peter Tino, Richard Allmendinger, Antonio J. Tallón-Ballesteros, Ke Tang, Sung-Bae Cho, Paulo Novais, and Susana Nascimento, 107–18. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-91608-4_11.
  • Schröder, Sarah, Alexander Schulz, Philip Kenneweg, Robert Feldhans, Fabian Hinder, and Barbara Hammer. 2022. “The SAME Score: Improved Cosine Based Bias Score for Word Embeddings.” arXiv. https://doi.org/10.48550/ARXIV.2203.14603.
  • Shaker, Mohammad Hossein, and Eyke Hüllermeier. 2021. “Ensemble-Based Uncertainty Quantification: Bayesian Versus Credal Inference.” In Proceedings - 31. Workshop Computational Intelligence : Berlin, 25. - 26. November 2021, edited by Horst Schulte, Frank Hoffmann, and Ralf Mikut. KIT Scientific Publishing. https://arxiv.org/abs/2107.10384.
  • Wilke, Adrian, Stefan Heindorf, Robert Feldhans, Barbara Hammer, and Axel-Cyrille Ngonga Ngomo. (to be published). “Explaining Drift in Text Data with Document Embeddings.” https://t1p.de/explain-drift.
  • Wilke, Adrian, and Axel-Cyrille Ngonga Ngomo. 2023. “LauNuts: A Knowledge Graph to Identify and Compare Geographic Regions in the European Union.” In The Semantic Web. https://papers.dice-research.org/2023/ESWC_LauNuts/Wilke-2023-LauNuts-KnowledgeGraph-EuropeanUnion-public.pdf.
  • Zahera, Hamada M., Rricha Jalota, Mohamed Ahmed Sherif, and Axel-Cyrille Ngonga Ngomo. 2021. “I-AID: Identifying Actionable Information from Disaster-Related Tweets.” IEEE Access 9: 118861–70. https://doi.org/10.1109/ACCESS.2021.3107812.
  • Zahera, Hamada M., Daniel Vollmers, Mohamed Ahmed Sherif, and Axel-Cyrille Ngonga Ngomo. 2022. “MultPAX: Keyphrase Extraction Using Language Models and Knowledge Graphs.” In ISWC. Springer. https://papers.dice-research.org/2022/ISWC-MultPAX/public.pdf.