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End-user feature labeling: Supervised and semi-supervised approaches based on locally-weighted logistic regression., , , , , , и . Artif. Intell., (2013)Improving Intelligent Assistants for Desktop Activities., , и . Interaction Challenges for Intelligent Assistants, том SS-07-04 из AAAI Technical Report, стр. 119-121. AAAI Press, (2007)Explainable AI: The New 42?, , , , , , , и . Machine Learning and Knowledge Extraction, стр. 295--303. Cham, Springer International Publishing, (2018)Workshop on Trust and Reliance in AI-Human Teams (TRAIT)., , , , , , и . CHI Extended Abstracts, стр. 116:1-116:6. ACM, (2022)End-User Feature Labeling via Locally Weighted Logistic Regression., , , , , , и . AAAI, стр. 1575-1578. AAAI Press, (2011)Welcome Letter., и . Proc. ACM Hum. Comput. Interact., (2018)Analysis and representation of rhetorical construction of understanding in design teams' experiential learning.. University College London, UK, (2001)British Library, EThOS.From GenderMag to InclusiveMag: An Inclusive Design Meta-Method., , , , , и . VL/HCC, стр. 97-106. IEEE Computer Society, (2019)EXMOS: Explanatory Model Steering through Multifaceted Explanations and Data Configurations., , , , и . CHI, стр. 314:1-314:27. ACM, (2024)Monitoring meaningful activities using small low-cost devices in a smart home., , , , и . Pers. Ubiquitous Comput., 23 (2): 339-357 (2019)