Towards Observability in Scientific Computing

Bartosz Baliś, Albert Kuźma, Łukasz Wroński

Other publications of Extreme-Scale Data and Computing

Can gamification reduce the burden of self-reporting in mHealth applications? A feasibility study using machine learning from smartwatch data to estimate cognitive load

Comprehensive Analysis of Circular RNAs in Endothelial Cells

Designing Personalised Gamification of mHealth Survey Applications

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Deep Learning Glioma Grading with the Tumor Microenvironment Analysis Protocol for Comprehensive Learning, Discovering, and Quantifying Microenvironmental Features

In: Journal of Imaging Informatics in Medicine, 2024.

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Safeguarding Authenticity for Mitigating the Harms of Generative AI: Issues, Research Agenda, and Policies for Detection, Fact-Checking, and Ethical AI

In: Cell Press iScience, 2024.

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Artificial intelligence for dementia – Applied models and digital health

In: Alzheimer's & Dementia: Journal of the Alzheimer's Association, 2023.

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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 857533 and from the International Research Agendas Programme of the Foundation for Polish Science No MAB PLUS/2019/13.

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Bartosz Baliś, Albert Kuźma, Łukasz Wroński

Deep Learning Glioma Grading with the Tumor Microenvironment Analysis Protocol for Comprehensive Learning, Discovering, and Quantifying Microenvironmental Features

Safeguarding Authenticity for Mitigating the Harms of Generative AI: Issues, Research Agenda, and Policies for Detection, Fact-Checking, and Ethical AI

Artificial intelligence for dementia – Applied models and digital health