Search Results - "Schumann Fabienne"

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  1. 1

    New directions for applied knowledge-based AI and machine learning by Humm, Bernhard G, Archer, Phil, Bense Hermann, Bernier Carolynn, Goetz, Christian, Hoppe, Thomas, Schumann Fabienne, Siegel, Melanie, Rigo, Wenning, Zender, Alexander

    Published in Informatik-Spektrum (01-01-2023)
    “…In this article, selected new directions in knowledge-based artificial intelligence (AI) and machine learning (ML) are presented: ontology development…”
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    Journal Article
  2. 2

    Evidence for Strong Fixation Bias at 4-fold Degenerate Sites Across Genes in the Great Tit Genome by Gossmann, Toni I., Bockwoldt, Mathias, Diringer, Lilith, Schwarz, Friedrich, Schumann, Vic-Fabienne

    Published in Frontiers in ecology and evolution (29-11-2018)
    “…It is well established that GC content varies across the genome in many species and that GC biased gene conversion, one form of meiotic recombination, is…”
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    Journal Article
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    New directions for applied knowledge-based AI and machine learning: Selected results of the 2022 Dagstuhl Workshop on Applied Machine Intelligence by Humm, Bernhard G., Archer, Phil, Bense, Hermann, Bernier, Carolynn, Goetz, Christian, Hoppe, Thomas, Schumann, Fabienne, Siegel, Melanie, Wenning, Rigo, Zender, Alexander

    Published in Informatik-Spektrum (01-04-2023)
    “…In this article, selected new directions in knowledge-based artificial intelligence (AI) and machine learning (ML) are presented: ontology development…”
    Get full text
    Journal Article
  6. 6

    Evidence for Strong Fixation Bias at 4-fold Degenerate Sites Across Genes in the Great Tit Genome by Gossmann, Toni Ingolf, Bockwoldt, Mathias, Diringer, Lilith, Schwarz, Friedrich, Schumann, Vic-Fabienne

    Published in Frontiers in ecology and evolution (05-10-2018)
    “…It is well established that GC content varies across the genome in many species and that GC biased gene conversion, one form of meiotic recombination, is…”
    Get full text
    Journal Article