Titlebook: Jets in Extragalactic Radio Sources; Proceedings of a Wor Hermann-Josef Röser,Klaus Meisenheimer Conference proceedings 1993 Springer-Verla

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书目名称Jets in Extragalactic Radio Sources影响因子(影响力)




书目名称Jets in Extragalactic Radio Sources影响因子(影响力)学科排名




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书目名称Jets in Extragalactic Radio Sources网络公开度学科排名




书目名称Jets in Extragalactic Radio Sources被引频次




书目名称Jets in Extragalactic Radio Sources被引频次学科排名




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书目名称Jets in Extragalactic Radio Sources年度引用学科排名




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书目名称Jets in Extragalactic Radio Sources读者反馈学科排名

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Conference proceedings 1993ure of extragalactic radio jets in allaccessible wavelength ranges. A section on the influenceofthe environment on radio galaxies concludes the book. Thistopical volume addresses researchers and graduate studentsin astrophysics.

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0075-8450 ional picture of extragalactic radio jets in allaccessible wavelength ranges. A section on the influenceofthe environment on radio galaxies concludes the book. Thistopical volume addresses researchers and graduate studentsin astrophysics.978-3-662-13950-9978-3-540-47925-3Series ISSN 0075-8450 Series E-ISSN 1616-6361

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oth, F1-score and the official MAE metric. Furthermore, we contribute by releasing the largest annotated dataset of news source media, categorized with factual reporting and political bias labels. Our findings suggest that profiling news media sources based on their hyperlink interactions over time

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responses for information retrieval. We found that using sentence embeddings from a model designed for semantic search outperformed the approach using embeddings from a model pre-trained on mental health data. Furthermore, the generated synthetic data were proved too specific for this task, the appr

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J. P. Leahyoth, F1-score and the official MAE metric. Furthermore, we contribute by releasing the largest annotated dataset of news source media, categorized with factual reporting and political bias labels. Our findings suggest that profiling news media sources based on their hyperlink interactions over time

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D. Dallacasa,C. Fanti,R. Fantiee contributions. First, we provide an automated evaluation framework, which uses the dataset and gold standard of the NTCIR-11 Math Retrieval Wikipedia task. Second, we compare existing identifier extraction approaches using the developed evaluation framework. Third, we present a new identifier ext