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• [17]
  

  2025 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 3001554

  Suffian, M., Kuhl, U., Bogliolo, A., & Alonso-Moral, J. M. (2025). The role of user feedback in enhancing understanding and trust in counterfactual explanations for explainable AI. International Journal of Human-Computer Studies, 103484. https://doi.org/10.1016/j.ijhcs.2025.103484

  PUB | DOI
   
• [16]
  

  2025 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 3001286

  Lüdemann, R., Schulz, A., & Kuhl, U. (2025). Generation Gap or Diffusion Trap? How Age Affects the Detection of Personalized AI-Generated Images. In H. Plácido da Silva & P. Cipresso (Eds.), Communications in Computer and Information Science: Vol. 2371. Computer-Human Interaction Research and Applications. 8th International Conference, CHIRA 2024, Porto, Portugal, November 21–22, 2024, Proceedings, Part II (pp. 359-381). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-83845-3_22

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• [15]
  

  2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2993468

  Kuhl, U. (2024). Shaping Trustworthy AI: An Introduction to This Issue. In U. Kuhl (Ed.), Proceedings of the DataNinja sAIOnARA 2024 Conference (Vol. 2024, pp. 1-9). Bielefeld: BieColl. https://doi.org/10.11576/DATANINJA-1156

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• [14]
  

  2024 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2991660

  Suffian, M., Kuhl, U., Alonso-Moral, J. M., & Bogliolo, A. (2024). CL-XAI: Toward Enriched Cognitive Learning with Explainable Artificial Intelligence. In A. Aldini (Ed.), Lecture Notes in Computer Science: Vol. 14568. Software Engineering and Formal Methods. SEFM 2023 Collocated Workshops. CIFMA 2023 and OpenCERT 2023, Eindhoven, The Netherlands, November 6–10, 2023, Revised Selected Papers (pp. 5-27). Cham: Springer . https://doi.org/10.1007/978-3-031-66021-4_1

  PUB | DOI | WoS
   
• [13]
  

  2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2991552

  Rüttgers, S., Kuhl, U., & Paaßen, B. (2024). Automatic Matchmaking in Two-Versus-Two Sports. In B. Paaßen & C. Demmans Epp (Eds.), Proceedings of the 17th International Conference on Educational Data Mining (pp. 458--468). International Educational Data Mining Society. https://doi.org/10.5281/zenodo.12729860

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• [12]
  

  2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983795

  Kuhl, U., Artelt, A., & Hammer, B. (2023). For Better or Worse: The Impact of Counterfactual Explanations’ Directionality on User Behavior in xAI. In L. Longo (Ed.), Communications in Computer and Information Science. Explainable Artificial Intelligence. First World Conference, xAI 2023, Lisbon, Portugal, July 26–28, 2023, Proceedings, Part III (pp. 280-300). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-44070-0_14

  PUB | DOI | WoS
   
• [11]
  

  2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2969734

  Kuhl, U., Artelt, A., & Hammer, B. (2023). Let's go to the Alien Zoo: Introducing an experimental framework to study usability of counterfactual explanations for machine learning. Frontiers in Computer Science, 5, 1087929. https://doi.org/10.3389/fcomp.2023.1087929

  PUB | PDF | DOI | Download (ext.) | WoS | arXiv
   
• [10]
  

  2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983759

  Koundouri, P., Hammer, B., Kuhl, U., & Velias, A. (2023). Behavioral Economics and Neuroeconomics of Environmental Values. Annual Review of Resource Economics, 15(1), 153-176. https://doi.org/10.1146/annurev-resource-101722-082743

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• [9]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969736

  Kuhl, U., Artelt, A., & Hammer, B. (2022). Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting. 2022 ACM Conference on Fairness, Accountability, and Transparency, 2125-2137. New York, NY, USA: ACM. https://doi.org/10.1145/3531146.3534630

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• [8]
  

  2022 | Report | Veröffentlicht | PUB-ID: 2965622

  Hammer, B., Hüllermeier, E., Lohweg, V., Schneider, A., Schenck, W., Kuhl, U., Braun, M., et al. (2022). Schlussbericht ITS.ML: Intelligente Technische Systeme der nächsten Generation durch Maschinelles Lernen. Forschungsvorhaben zur automatisierten Analyse von Daten mittels Maschinellen Lernens. Bielefeld: Univ. Bielefeld, Forschungsinstitut für Kognition und Robotik. https://doi.org/10.4119/unibi/2965622

  PUB | PDF | DOI
   
• [7]
  

  2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2961871

  Kuhl, U., Sobotta, S., & Skeide, M. A. (2021). Mathematical learning deficits originate in early childhood from atypical development of a frontoparietal brain network. PLOS Biology, 19(9), e3001407. https://doi.org/10.1371/journal.pbio.3001407

  PUB | PDF | DOI | WoS | PubMed | Europe PMC
   
• [6]
  

  2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2959418

  Göpfert, J. P., Kuhl, U., Hindemith, L., Wersing, H., & Hammer, B. (2021). Intuitiveness in Active Teaching. IEEE Transactions on Human-Machine Systems, 1-10. https://doi.org/10.1109/THMS.2021.3121666

  PUB | DOI | WoS
   
• [5]
  

  2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2953387

  Shim, M., Hwang, H. - J., Kuhl, U., & Jeon, H. - A. (2021). Resting-State Functional Connectivity in Mathematical Expertise. Brain Sciences, 11(4), 430. https://doi.org/10.3390/brainsci11040430

  PUB | PDF | DOI | WoS | PubMed | Europe PMC
   
• [4]
  

  2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2938847

  Kuhl, U., Friederici, A. D., Emmrich, F., Brauer, J., Wilcke, A., Neef, N., Boltze, J., et al. (2020). Early cortical surface plasticity relates to basic mathematical learning. NeuroImage, 204, 116235. doi:10.1016/j.neuroimage.2019.116235

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• [3]
  

  2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2941258

  Kuhl, U., Neef, N. E., Kraft, I., Schaadt, G., Dörr, L., Brauer, J., Czepezauer, I., et al. (2020). The emergence of dyslexia in the developing brain. NeuroImage, 211, 116633. doi:10.1016/j.neuroimage.2020.116633

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• [2]
  

  2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2938846

  Jeon, H. - A., Kuhl, U., & Friederici, A. D. (2019). Mathematical expertise modulates the architecture of dorsal and cortico-thalamic white matter tracts. Scientific Reports, 9(1), 6825. doi:10.1038/s41598-019-43400-6

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• [1]
  

  2019 | Dissertation | PUB-ID: 2938928

  Kuhl, U. (2019). The brain basis of emerging literacy and numeracy skills. Longitudinal neuroimaging evidence from kindergarten to primary school. Leipzig: Universität Leipzig.

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