Publications

Peer-reviewed publications by members of the People-Centered Computing Lab, aggregated automatically from the authors’ DBLP profiles.

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(2025). Detecting Semantic Clones of Unseen Functionality. CoRR.
(2025). Linearly-interpretable concept embedding models for text analysis. Mach. Learn..
(2025). Unobtrusive Perceived Sleep Quality Monitoring in the Wild. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..
(2025). Explicit vs. Implicit Biographies: Evaluating and Adapting LLM Information Extraction on Wikidata-Derived Texts. CoRR.
(2025). How to Improve the Explanatory Power of an Intelligent Textbook: a Case Study in Legal Writing. Int. J. Artif. Intell. Educ..
(2025). Diverse Negative Sampling for Implicit Collaborative Filtering. CoRR.
(2025). Foundations of Interpretable Models. CoRR.
(2025). A Review of Methods for Unobtrusive Measurement of Work-Related Well-Being. Mach. Learn. Knowl. Extr..
(2025). Leveraging Complementary AI Explanations to Mitigate Misunderstanding in XAI. IEEE Swiss Conference on Data Science, SDS 2025, Zürich, Switzerland, June 26-27, 2025.
(2025). How robust is your fair model? Exploring the robustness of prominent fairness strategies. Data Min. Knowl. Discov..
(2025). Towards Better Generalization and Interpretability in Unsupervised Concept-Based Models. CoRR.
(2025). On the interplay of Explainability, Privacy and Predictive Performance with Explanation-assisted Model Extraction. CoRR.
(2025). If Concept Bottlenecks are the Question, are Foundation Models the Answer?. CoRR.