Hasil Pencarian - David Broneske

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  1. 1
    Exploring the predictive factors of heart disease using rare association rule mining

    Exploring the predictive factors of heart disease using rare association rule mining oleh Sadeq Darrab, David Broneske, Gunter Saake

    Diterbitkan 2024-08-01
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  2. 2
    A first metadata schema for learning analytics research data management

    A first metadata schema for learning analytics research data management oleh Ian Wolff, David Broneske, Veit Köppen

    Diterbitkan 2021-11-01
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  3. 3
    Automated occupation coding with hierarchical features: a data-centric approach to classification with pre-trained language models

    Automated occupation coding with hierarchical features: a data-centric approach to classification with pre-trained language models oleh Parisa Safikhani, Hayastan Avetisyan, Dennis Föste-Eggers, David Broneske

    Diterbitkan 2023-02-01
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  4. 4
    An Evolutionary Algorithm With Heuristic Operator for Detecting Protein Complexes in Protein Interaction Networks With Negative Controls

    An Evolutionary Algorithm With Heuristic Operator for Detecting Protein Complexes in Protein Interaction Networks With Negative Controls oleh Mustafa N. Abbas, Bara'a A. Attea, David Broneske, Gunter Saake

    Diterbitkan 2024-01-01
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  5. 5
    Clustering graph data: the roadmap to spectral techniques

    Clustering graph data: the roadmap to spectral techniques oleh Rahul Mondal, Evelina Ignatova, Daniel Walke, David Broneske, Gunter Saake, Robert Heyer

    Diterbitkan 2024-01-01
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  6. 6
    An Investigation of Alternatives to Transform Protein Sequence Databases to a Columnar Index Schema

    An Investigation of Alternatives to Transform Protein Sequence Databases to a Columnar Index Schema oleh Roman Zoun, Kay Schallert, David Broneske, Ivayla Trifonova, Xiao Chen, Robert Heyer, Dirk Benndorf, Gunter Saake

    Diterbitkan 2021-02-01
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  7. 7
    Decision tree learning in Neo4j on homogeneous and unconnected graph nodes from biological and clinical datasets

    Decision tree learning in Neo4j on homogeneous and unconnected graph nodes from biological and clinical datasets oleh Rahul Mondal, Minh Dung Do, Nasim Uddin Ahmed, Daniel Walke, Daniel Micheel, David Broneske, Gunter Saake, Robert Heyer

    Diterbitkan 2023-03-01
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