Showing 1 - 20 results of 2,954 for search '(( models ((when decrease) OR (mean decrease)) ) OR ( ai ((large decrease) OR (marked decrease)) ))', query time: 0.71s Refine Results
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    <b>When more isn’t better: Sperm competition decreases fertilization success and motile sperm in two sea urchin species</b> by Luisa Kumpitsch (20874095)

    Published 2025
    “…<p dir="ltr">Abstract of the paper "<b>When more isn’t better: Sperm competition decreases fertilization success and motile sperm in two sea urchin species":</b></p><p dir="ltr">Fertilization is a fundamental process where sperm-egg fusion is essential to maintain life of most metazoans. …”
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    The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness. by Gui Araujo (22170819)

    Published 2025
    “…When they stop being introduced in further assembly events (i.e. introduced species do not carry any mutualistic interactions), their proportion slowly decreases with successive invasions. …”
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    Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx by Rasita Vinay (21006911)

    Published 2025
    “…Introduction<p>The emergence of artificial intelligence (AI) large language models (LLMs), which can produce text that closely resembles human-written content, presents both opportunities and risks. …”
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    Marginal means – Pooled across scenarios. by Mehdi Mourali (10170245)

    Published 2025
    “…A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”
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    Average mean decrease Gini across 100 partitions for the top 10 most important variables for binary mixed model and random forest. by Helal El-Zaatari (20442243)

    Published 2025
    “…<p>Average mean decrease Gini across 100 partitions for the top 10 most important variables for binary mixed model and random forest.…”
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