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• [17]
  

  2025 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 3001554

  Suffian, M., Kuhl, U., Bogliolo, A., and 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.

  PUB | DOI
   
• [16]
  

  2025 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 3001286

  Lüdemann, R., Schulz, A., and Kuhl, U. (2025). “Generation Gap or Diffusion Trap? How Age Affects the Detection of Personalized AI-Generated Images” in Computer-Human Interaction Research and Applications. 8th International Conference, CHIRA 2024, Porto, Portugal, November 21–22, 2024, Proceedings, Part II, Plácido da Silva, H., and Cipresso, P. eds. Communications in Computer and Information Science, vol. 2371, (Cham: Springer Nature Switzerland), 359-381.

  PUB | DOI
   
• [15]
  

  2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2993468

  Kuhl, U. (2024). “Shaping Trustworthy AI: An Introduction to This Issue” in Proceedings of the DataNinja sAIOnARA 2024 Conference, Kuhl, U. ed., vol. 2024, (Bielefeld: BieColl), 1-9.

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• [14]
  

  2024 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2991660

  Suffian, M., Kuhl, U., Alonso-Moral, J. M., and Bogliolo, A. (2024). “CL-XAI: Toward Enriched Cognitive Learning with Explainable Artificial Intelligence” in Software Engineering and Formal Methods. SEFM 2023 Collocated Workshops. CIFMA 2023 and OpenCERT 2023, Eindhoven, The Netherlands, November 6–10, 2023, Revised Selected Papers, Aldini, A. ed. Lecture Notes in Computer Science, vol. 14568, (Cham: Springer ), 5-27.

  PUB | DOI | WoS
   
• [13]
  

  2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2991552

  Rüttgers, S., Kuhl, U., and Paaßen, B. (2024). “Automatic Matchmaking in Two-Versus-Two Sports” in Proceedings of the 17th International Conference on Educational Data Mining, Paaßen, B., and Demmans Epp, C. eds. (International Educational Data Mining Society), 458--468.

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• [12]
  

  2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983795

  Kuhl, U., Artelt, A., and Hammer, B. (2023). “For Better or Worse: The Impact of Counterfactual Explanations’ Directionality on User Behavior in xAI” in Explainable Artificial Intelligence. First World Conference, xAI 2023, Lisbon, Portugal, July 26–28, 2023, Proceedings, Part III, Longo, L. ed. Communications in Computer and Information Science (Cham: Springer Nature Switzerland), 280-300.

  PUB | DOI | WoS
   
• [11]
  

  2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2969734

  Kuhl, U., Artelt, A., and 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.

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• [10]
  

  2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983759

  Koundouri, P., Hammer, B., Kuhl, U., and Velias, A. (2023). Behavioral Economics and Neuroeconomics of Environmental Values. Annual Review of Resource Economics 15, 153-176.

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• [9]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969736

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

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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., Pfeifer, A., Holst, C. - A., Schmidt, 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.

  PUB | PDF | DOI
   
• [7]
  

  2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2961871

  Kuhl, U., Sobotta, S., and Skeide, M. A. (2021). Mathematical learning deficits originate in early childhood from atypical development of a frontoparietal brain network. PLOS Biology 19:e3001407.

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

  2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2959418

  Göpfert, J. P., Kuhl, U., Hindemith, L., Wersing, H., and Hammer, B. (2021). Intuitiveness in Active Teaching. IEEE Transactions on Human-Machine Systems, 1-10.

  PUB | DOI | WoS
   
• [5]
  

  2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2953387

  Shim, M., Hwang, H. - J., Kuhl, U., and Jeon, H. - A. (2021). Resting-State Functional Connectivity in Mathematical Expertise. Brain Sciences 11:430.

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• [4]
  

  2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2938847

  Kuhl, U., Friederici, A. D., Emmrich, F., Brauer, J., Wilcke, A., Neef, N., Boltze, J., Kirsten, H., Schaadt, G., Müller, B., et al. (2020). Early cortical surface plasticity relates to basic mathematical learning. NeuroImage 204:116235.

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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., Müller, B., Wilcke, A., Kirsten, H., et al. (2020). The emergence of dyslexia in the developing brain. NeuroImage 211:116633.

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• [2]
  

  2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2938846

  Jeon, H. - A., Kuhl, U., and Friederici, A. D. (2019). Mathematical expertise modulates the architecture of dorsal and cortico-thalamic white matter tracts. Scientific Reports 9:6825.

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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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