Výsledky vyhledávání - "Gosak, Lucija"

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Petal-X: Human-Centered Visual Explanations to Improve Cardiovascular Risk Communication

Autor: Rojo, Diego, Lamqaddam, Houda, Gosak, Lucija, Verbert, Katrien

Cardiovascular diseases (CVDs), the leading cause of death worldwide, can be prevented in most cases through behavioral interventions. Therefore, effective communication of CVD risk and projected risk reduction by risk factor modification plays a cru

Externí odkaz: http://arxiv.org/abs/2406.18690

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Akademický článek

The Effects of Gamification and Oral Self-Care on Oral Hygiene in Children: Systematic Search in App Stores and Evaluation of Apps

Autor: Fijačko, Nino, Gosak, Lucija, Cilar, Leona, Novšak, Alenka, Creber, Ruth Masterson, Skok, Pavel, Štiglic, Gregor

Publikováno v: JMIR mHealth and uHealth, Vol 8, Iss 7, p e16365 (2020)

BackgroundPoor oral hygiene is a great public health problem worldwide. Oral health care education is a public health priority as the maintenance of oral hygiene is integral to overall health. Maintaining optimal oral hygiene among children is challe

Externí odkaz: https://doaj.org/article/78b0917c5d59417bb4afced4ca7a54bf

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EXMOS: Explanatory Model Steering Through Multifaceted Explanations and Data Configurations

Autor: Bhattacharya, Aditya, Stumpf, Simone, Gosak, Lucija, Stiglic, Gregor, Verbert, Katrien

Publikováno v: Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI '24), May 11--16, 2024, Honolulu, HI, USA

Explanations in interactive machine-learning systems facilitate debugging and improving prediction models. However, the effectiveness of various global model-centric and data-centric explanations in aiding domain experts to detect and resolve potenti

Externí odkaz: http://arxiv.org/abs/2402.00491

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Lessons Learned from EXMOS User Studies: A Technical Report Summarizing Key Takeaways from User Studies Conducted to Evaluate The EXMOS Platform

Autor: Bhattacharya, Aditya, Stumpf, Simone, Gosak, Lucija, Stiglic, Gregor, Verbert, Katrien

In the realm of interactive machine-learning systems, the provision of explanations serves as a vital aid in the processes of debugging and enhancing prediction models. However, the extent to which various global model-centric and data-centric explan

Externí odkaz: http://arxiv.org/abs/2310.02063

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Improving Primary Healthcare Workflow Using Extreme Summarization of Scientific Literature Based on Generative AI

Autor: Stiglic, Gregor, Kopitar, Leon, Gosak, Lucija, Kocbek, Primoz, He, Zhe, Chakraborty, Prithwish, Meyer, Pablo, Bian, Jiang

Primary care professionals struggle to keep up to date with the latest scientific literature critical in guiding evidence-based practice related to their daily work. To help solve the above-mentioned problem, we employed generative artificial intelli

Externí odkaz: http://arxiv.org/abs/2307.15715

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