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Christoph Funk

Dados Biográficos

ID6586526
NOMEChristoph Funk
PRENOMESChristoph
SOBRENOMEFunk
ASSINATURAFUNK C
AFILIAÇÕESJustus-Liebig-Universität Gießen
ORCID0000-0001-7388-4415
VERIFICADOSim
TOTAL DE OBRAS4
TOTAL DE CITAÇÕES1
TOTAL COMO AUTOR4
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2022
ANO MAIS RECENTE DE PUBLICAÇÃO2025
ÍNDICE H1
  • Flood vulnerability of rural women – An indicator-based approach

    Open Access•Holy Mercy Divina Matla, Christoph Funk et al.•ARTICLE•International Journal of Disaster…•2025

  • Testing spatial out-of-sample area of influence for grain forecasting models

    Open Access•Frank Davenport, Dawn Lee et al.•ARTICLE•Environmental Research Letters•2024

    We examine the factors that determine if a grain forecasting model fit to one region can be transferred to another region. Prior research has proposed examining the area of applicability (AoA) of a model based on structurally similar characteristics in the Earth Observation predictors and weights based on the model derived feature importance. We expand on and evaluate this approach in the context of grain yield forecasting in Sub-Saharan Africa. …

  • Reading between the lines

    Open Access•Christoph Funk, Elena Tönjes et al.•ARTICLE•Sustainable Development•2024•Citada por: 1•Referências: 4

    In September 2015, the United Nations (UN) adopted 17 Sustainable Development Goals (SDGs) to transform our world by 2030. The scientific discourse around these SDGs has expanded rapidly since then, highlighting the need for efficient analysis of the large amount of textual data using Natural Language Processing. Our research addresses this need by employing a zero‐shot text classification for SDG‐related scientific articles, which allows for a t…

  • Digital competence of higher education learners in the context of Covid-19 triggered online learning

    Open Access•Archana Raghavan Sathyan, Anu Susan Sam et al.•ARTICLE•Social Sciences & Humanities Open•2022

    The spread of COVID-19 caused wide scale disruptions in the educational sector across the globe. Digital education, which involves the use of digital tools, virtual platforms and online learning, is seen as one of the viable alternatives to continue academic activities in such an environment. Higher education institutions have largely switched to this new mode of learning and continue to rely on digital mode in many parts of the world, due to the…

  • Reading between the lines

    Open Access•Christoph Funk, Elena Tönjes et al.•ARTICLE•Sustainable Development•2024•Citada por: 1•Referências: 4

    In September 2015, the United Nations (UN) adopted 17 Sustainable Development Goals (SDGs) to transform our world by 2030. The scientific discourse around these SDGs has expanded rapidly since then, highlighting the need for efficient analysis of the large amount of textual data using Natural Language Processing. Our research addresses this need by employing a zero‐shot text classification for SDG‐related scientific articles, which allows for a t…

  • Digital competence of higher education learners in the context of Covid-19 triggered online learning

    Open Access•Archana Raghavan Sathyan, Anu Susan Sam et al.•ARTICLE•Social Sciences & Humanities Open•2022

    The spread of COVID-19 caused wide scale disruptions in the educational sector across the globe. Digital education, which involves the use of digital tools, virtual platforms and online learning, is seen as one of the viable alternatives to continue academic activities in such an environment. Higher education institutions have largely switched to this new mode of learning and continue to rely on digital mode in many parts of the world, due to the…

  • Testing spatial out-of-sample area of influence for grain forecasting models

    Open Access•Frank Davenport, Dawn Lee et al.•ARTICLE•Environmental Research Letters•2024

    We examine the factors that determine if a grain forecasting model fit to one region can be transferred to another region. Prior research has proposed examining the area of applicability (AoA) of a model based on structurally similar characteristics in the Earth Observation predictors and weights based on the model derived feature importance. We expand on and evaluate this approach in the context of grain yield forecasting in Sub-Saharan Africa. …

  • Reading between the lines

    Open Access•Christoph Funk, Elena Tönjes et al.•ARTICLE•Sustainable Development•2024•Citada por: 1•Referências: 4

    In September 2015, the United Nations (UN) adopted 17 Sustainable Development Goals (SDGs) to transform our world by 2030. The scientific discourse around these SDGs has expanded rapidly since then, highlighting the need for efficient analysis of the large amount of textual data using Natural Language Processing. Our research addresses this need by employing a zero‐shot text classification for SDG‐related scientific articles, which allows for a t…

  • Flood vulnerability of rural women – An indicator-based approach

    Open Access•Holy Mercy Divina Matla, Christoph Funk et al.•ARTICLE•International Journal of Disaster…•2025

Computer Science (4 obras) · Geography (3 obras) · Artificial Intelligence (2 obras) · Climate change impacts on agriculture (2 obras) · Medicine (2 obras) · Political science (2 obras) · Agricultural risk and resilience (1 obras) · Archaeology (1 obras) · Business (1 obras) · Climate Change Communication and Perception (1 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae