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Mostrando 361 - 380 Resultados de 461 Para Buscar '"Wikipedia"', tiempo de consulta: 0.30s Limitar resultados
  1. 361
    “…We illustrate the FPB in application to collaboration networks in statistics and computer science and to Wikipedia networks.…”
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    Bootstrap quantification of estimation uncertainties in network degree distributions
  2. 362
    por Boyd, Matt, Wilson, Nick
    Publicado 2018
    “…When asked FAQs from the National Health Service website, or to find information the Centers for Disease Control has made videos on, the best search results used expert sources 59% (31/52) of the time, “some expertise” (eg, Wikipedia) 18% of the time, but also magazines and other low quality sources 19% of the time. …”
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    Just ask Siri? A pilot study comparing smartphone digital assistants and laptop Google searches for smoking cessation advice
  3. 363
    por Huang, Wenya, Wang, Peiling, Wu, Qiang
    Publicado 2018
    “…The AAS for an article, provided by Altmetric aggregates activities surrounding research outputs in social media (news outlet mentions, tweets, blogs, Wikipedia, etc.). Spearman correlation testing was done on all articles and articles with AAS. …”
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    A correlation comparison between Altmetric Attention Scores and citations for six PLOS journals
  4. 364
    “…Here, by combining unstructured data collected from CVs, university websites, and Wikipedia, together with the publication and citation database from Microsoft Academic Graph (MAG), we reconstructed publication histories of nearly all Nobel prize winners from the past century, through both manual curation and algorithmic disambiguation procedures. …”
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    A dataset of publication records for Nobel laureates
  5. 365
    por Leroy, Gondy, Kauchak, David
    Publicado 2019
    “…MATERIALS AND METHODS: We conducted 2 studies to compare comprehension after reading or listening to information using a new corpus containing short text snippets from Cochrane (N = 50) and Wikipedia (N = 50). In study 1, the snippets were first presented as audio or text followed by a multiple-choice question. …”
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    A comparison of text versus audio for information comprehension with future uses for smart speakers
  6. 366
    por Alexander, Francis, Almgren, Ann, Bell, John, Bhattacharjee, Amitava, Chen, Jacqueline, Colella, Phil, Daniel, David, DeSlippe, Jack, Diachin, Lori, Draeger, Erik, Dubey, Anshu, Dunning, Thom, Evans, Thomas, Foster, Ian, Francois, Marianne, Germann, Tim, Gordon, Mark, Habib, Salman, Halappanavar, Mahantesh, Hamilton, Steven, Hart, William, (Henry) Huang, Zhenyu, Hungerford, Aimee, Kasen, Daniel, Kent, Paul R. C., Kolev, Tzanio, Kothe, Douglas B., Kronfeld, Andreas, Luo, Ye, Mackenzie, Paul, McCallen, David, Messer, Bronson, Mniszewski, Sue, Oehmen, Chris, Perazzo, Amedeo, Perez, Danny, Richards, David, Rider, William J., Rieben, Rob, Roche, Kenneth, Siegel, Andrew, Sprague, Michael, Steefel, Carl, Stevens, Rick, Syamlal, Madhava, Taylor, Mark, Turner, John, Vay, Jean-Luc, Voter, Artur F., Windus, Theresa L., Yelick, Katherine
    Publicado 2020
    “…As noted in Wikipedia, skin in the game refers to having ‘incurred risk by being involved in achieving a goal’, where ‘skin is a synecdoche for the person involved, and game is the metaphor for actions on the field of play under discussion’. …”
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    Exascale applications: skin in the game
  7. 367
    “…In a study in which participants read sentences from Wikipedia entries, we show information gain, an information theoretic measure that quantifies the specificity of a word given its topic context, modulates word-synchronised brain activity in the EEG. …”
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    Information gain modulates brain activity evoked by reading
  8. 368
    “…Using search engines more often (e.g., Google) (OR = 0.7; 95% CI = 0.5; 0.9), Wikipedia (OR = 0.7; 95% CI = 0.6; 0.9) and social media (e.g., Facebook) (OR = 0.7; 95% CI = 0.6; 0.9) decreased the likelihood of achieving sufficient DHL related to COVID-19. …”
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    Associations between COVID-19-Related Digital Health Literacy and Online Information-Seeking Behavior among Portuguese University Students
  9. 369
    “…Finally, we compare trends in their temporal evolution with variations in public attention, as measured by Twitter posts and Wikipedia page visits. We reveal how the online shadow economy has evolved during the COVID-19 pandemic and highlight the importance of a continuous monitoring of DWMs, especially now that real vaccines are available and in short supply. …”
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    Dark Web Marketplaces and COVID-19: before the vaccine
  10. 370
    “…Here, we assessed if the same valence and gender connotations appear in widely available written texts (Wikipedia and newswire articles). Using a word embedding method (GloVe), we extracted gender and valence biases for blue, pink, and red, as well as for the remaining basic colour terms from a large English-language corpus containing six billion words. …”
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    English colour terms carry gender and valence biases: A corpus study using word embeddings
  11. 371
    por Mehta, Vivek, Bawa, Seema, Singh, Jasmeet
    Publicado 2021
    “…A massive amount of textual data now exists in digital repositories in the form of research articles, news articles, reviews, Wikipedia articles, and books, etc. Text clustering is a fundamental data mining technique to perform categorization, topic extraction, and information retrieval. …”
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    WEClustering: word embeddings based text clustering technique for large datasets
  12. 372
    “…In Experiment 1, participants rated the importance of sentences across passages of Wikipedia text. In Experiment 2, a different set of participants read these passages while their eye movements were tracked, with the task being either reading for comprehension or skim reading. …”
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    The impact of hyperlinks, skim reading and perceived importance when reading on the Web
  13. 373
    “…Background: Altmetrics measure the impact of journal articles by tracking social media, Wikipedia, public policy documents, blogs, and mainstream news activity, after which an overall Altmetric attention score (AAS) is calculated for every journal article. …”
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    Influenza Altmetric Attention Score and its association with the influenza season in the USA
  14. 374
    “…The model consists of document retrieval to retrieve passages relevant to a question from large-scale free text resources such as Wikipedia and an answer reader to extract the precise answer to the given question. …”
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    Deep learning-based approach for Arabic open domain question answering
  15. 375
    “…RESULTS: Compulsion, Distress, Excessiveness, Reassuarance Seeking scales are related to various health-related activities online including both specialized (medical web-sites) and non-specialized (Wikipedia) ones (r=.25-.48, p<.01). Compulsion is closely related to surfing in social networks (r=.41, p<.01), excessiveness – to viewing of illnesses-related pictures (r=.48, p<.01) and reassurance seeking – to reading of online reports (r=.47, p<.01). …”
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    Relationship of cyberchondria to hypochondriac beliefs and internet use
  16. 376
    “…This model is trained on publicly available Wikipedia Clickstream data. The results of our user study demonstrate that LaSER outperforms state-of-the-art recommendation baselines by up to 33 percentage points in MAP@5 concerning the language-specific relevance of recommended events.…”
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    LaSER: Language-specific event recommendation
  17. 377
    “…To extend the assistance toward requirements validation, we present in this paper an automated approach to identifying the abstractions for supporting requirements-based testing. We select relevant Wikipedia pages to serve as a domain corpus that is independent from any specific software system. …”
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    Testing software’s changing features with environment-driven abstraction identification
  18. 378
    por Lapid, Shay, Kagan, Dima, Fire, Michael
    Publicado 2023
    “…Additionally, we demonstrated that CMMAC can identify abnormal communities in real-world unlabeled networks in different domains, such as Reddit and Wikipedia.…”
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    Co-Membership-based Generic Anomalous Communities Detection
  19. 379
    “…In contrast, the Twitter-trained NamePrism and the Wikipedia-trained Ethnicolr are more balanced among ethnicity, but less among gender and age. …”
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    Equal accuracy for Andrew and Abubakar—detecting and mitigating bias in name-ethnicity classification algorithms
  20. 380
    “…The materials were assessed via five readability scales and then were statistically analyzed and compared to non-institutional education websites (Wikipedia.com and WebMD.com). Results None of the PEMs were written at or below the NIH's recommended 6th-grade reading level. …”
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    The Complexity of Online Patient Education Materials About Interventional Neuroradiology Procedures Published by Major Academic Institutions
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