Výsledky vyhledávání - "Feelders, A."

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Using Chao's Estimator as a Stopping Criterion for Technology-Assisted Review

Autor: Bron, Michiel P., van der Heijden, Peter G. M., Feelders, Ad J., Siebes, Arno P. J. M.

Technology-Assisted Review (TAR) aims to reduce the human effort required for screening processes such as abstract screening for systematic literature reviews. Human reviewers label documents as relevant or irrelevant during this process, while the s

Externí odkaz: http://arxiv.org/abs/2404.01176

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Detection of Critical Events in Renewable Energy Production Time Series

Autor: Stoop, Laurens P., Duijm, Erik, Feelders, Ad J., Broek, Machteld van den

Publikováno v: In: AALTD 2021. Lecture Notes in Computer Science(), vol 13114

The introduction of more renewable energy sources into the energy system increases the variability and weather dependence of electricity generation. Power system simulations are used to assess the adequacy and reliability of the electricity grid over

Externí odkaz: http://arxiv.org/abs/2401.17814

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The Climatological Renewable Energy Deviation Index (CREDI)

Autor: Stoop, Laurens P., van der Wiel, Karin, Zappa, William, Haverkamp, Arno, Feelders, Ad J., Broek, Machteld van den

We propose an index to quantify and analyse the impact of climatological variability on the energy system at different timescales. We define the Climatological Renewable Energy Deviation Index (CREDI) as the cumulative anomaly of a renewable resource

Externí odkaz: http://arxiv.org/abs/2307.08909

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Akademický článek

Venous thromboembolism in Cushing syndrome: results from an EuRRECa and Endo-ERN survey

Publikováno v: Endocrine Connections, Vol 13, Iss 6, Pp 1-10 (2024)

Background: Patients with Cushing syndrome (CS) are at increased risk of venous thromboembolism (VTE). Objective: The aim was to evaluate the current management of new cases of CS with a focus on VTE and thromboprophylaxis. Design and methods: A sur

Externí odkaz: https://doaj.org/article/0d6f12c986c64a9489f0b3026c083007

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Reproducible radiomics through automated machine learning validated on twelve clinical applications

Autor: Starmans, Martijn P. A., van der Voort, Sebastian R., Phil, Thomas, Timbergen, Milea J. M., Vos, Melissa, Padmos, Guillaume A., Kessels, Wouter, Hanff, David, Grunhagen, Dirk J., Verhoef, Cornelis, Sleijfer, Stefan, Bent, Martin J. van den, Smits, Marion, Dwarkasing, Roy S., Els, Christopher J., Fiduzi, Federico, van Leenders, Geert J. L. H., Blazevic, Anela, Hofland, Johannes, Brabander, Tessa, van Gils, Renza A. H., Franssen, Gaston J. H., Feelders, Richard A., de Herder, Wouter W., Buisman, Florian E., Willemssen, Francois E. J. A., Koerkamp, Bas Groot, Angus, Lindsay, van der Veldt, Astrid A. M., Rajicic, Ana, Odink, Arlette E., Deen, Mitchell, T., Jose M. Castillo, Veenland, Jifke, Schoots, Ivo, Renckens, Michel, Doukas, Michail, de Man, Rob A., IJzermans, Jan N. M., Miclea, Razvan L., Vermeulen, Peter B., Bron, Esther E., Thomeer, Maarten G., Visser, Jacob J., Niessen, Wiro J., Klein, Stefan

Radiomics uses quantitative medical imaging features to predict clinical outcomes. Currently, in a new clinical application, finding the optimal radiomics method out of the wide range of available options has to be done manually through a heuristic t

Externí odkaz: http://arxiv.org/abs/2108.08618

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Exploiting Transitivity Constraints for Entity Matching in Knowledge Graphs

Autor: Baas, Jurian, Dastani, Mehdi, Feelders, Ad

The goal of entity matching in knowledge graphs is to identify entities that refer to the same real-world objects using some similarity metric. The result of entity matching can be seen as a set of entity pairs interpreted as the same-as relation. Ho

Externí odkaz: http://arxiv.org/abs/2104.12589

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