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Exploring LGBTQ+ Bias in Generative AI Answers across Different Country and Religious Contexts

Autor: Vicsek, Lilla, Vancsó, Anna, Zajko, Mike, Takacs, Judit

Previous discussions have highlighted the need for generative AI tools to become more culturally sensitive, yet often neglect the complexities of handling content about minorities, who are perceived differently across cultures and religions. Our stud

Externí odkaz: http://arxiv.org/abs/2407.03473

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Rethinking of Encoder-based Warm-start Methods in Hyperparameter Optimization

Autor: Płudowski, Dawid, Zajko, Antoni, Kozak, Anna, Woźnica, Katarzyna

Effectively representing heterogeneous tabular datasets for meta-learning purposes remains an open problem. Previous approaches rely on predefined meta-features, for example, statistical measures or landmarkers. The emergence of dataset encoders open

Externí odkaz: http://arxiv.org/abs/2403.04720

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Akademický článek

Structural and biochemical characterization of cauliflower mosaic virus reverse transcriptase

Autor: Prabaharan, Chandrasekaran, Figiel, Małgorzata, Szczepanowski, Roman H., Skowronek, Krzysztof, Zajko, Weronika, Thangaraj, Vinuchakkaravarthy, Chamera, Sebastian, Nowak, Elżbieta, Nowotny, Marcin

Publikováno v: In Journal of Biological Chemistry August 2024 300(8)

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Akademický článek

The transformative journey of community health workers in implementing a lifestyle intervention in Brazil: A qualitative study

Autor: Andiara Schwingel, Ana Selzer, Deanivea Mendes Felix, Wojtek Chodzko-Zajko, Daniel Umpierre, Felipe Reichert, Pedro Hallal

Publikováno v: Journal of Clinical and Translational Science, Vol 8 (2024)

Abstract Introduction: Community health workers (CHWs) stand as critical frontline agents within the Brazilian healthcare system. In this qualitative study, we examined the impact of a community-based behavioral change intervention spearheaded by CH

Externí odkaz: https://doaj.org/article/2156d9c0c96d46adac43d611d495b720

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Conservative AI and social inequality: Conceptualizing alternatives to bias through social theory

Autor: Zajko, Mike

In response to calls for greater interdisciplinary involvement from the social sciences and humanities in the development, governance, and study of artificial intelligence systems, this paper presents one sociologist's view on the problem of algorith

Externí odkaz: http://arxiv.org/abs/2007.08666

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Akademický článek

Loop-mediated isothermal amplification (LAMP) method for fast detection of Campylobacter spp in meat food products and environmental objects of a processing plant’s

Autor: Yu. K. Yushina, E. V. Zajko, M. A. Grudistova, M. D. Reshchikov, N. A. Nasyrov, D. V. Nikitchenko

Publikováno v: Теория и практика переработки мяса, Vol 7, Iss 2, Pp 125-130 (2022)

There is constant necessity of developing the accurate and fast methods for detection of foodborne pathogens. Microorganisms of Campylobacter genus are one of the main causes of foodborne diseases worldwide. Fast identification of Campylobacter at al

Externí odkaz: https://doaj.org/article/396428ae1f47475fabdf5083ec6f669d

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