Search results for "Computer Science - Digital Libraries"

showing 3 items of 3 documents

Mislabel Detection of Finnish Publication Ranks

2019

The paper proposes to analyze a data set of Finnish ranks of academic publication channels with Extreme Learning Machine (ELM). The purpose is to introduce and test recently proposed ELM-based mislabel detection approach with a rich set of features characterizing a publication channel. We will compare the architecture, accuracy, and, especially, the set of detected mislabels of the ELM-based approach to the corresponding reference results on the reference paper.

FOS: Computer and information sciencesComputer Science - Machine LearningComputer sciencerankinglistatMachine Learning (stat.ML)computer.software_genreMachine Learning (cs.LG)Set (abstract data type)Statistics - Machine LearningDigital Libraries (cs.DL)julkaisukanavatvirheanalyysimislabel detectionExtreme learning machineExtreme Learning Machine (ELM)publication channelsComputer Science - Digital LibrariesData setkoneoppiminendataData miningrankingsarviointicomputertieteellinen julkaisutoimintaCommunication channel
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Aggregation of the web performance of internal university units as a method of quantitative analysis of a university system: the case of Spain

2013

The aggregation of web performance data (page count and visibility) of internal university units could constitute a more precise indicator than the overall web performance of the universities and, therefore, be of use in the design of university web rankings. In order to test this hypothesis, a longitudinal analysis of the internal units of the Spanish university system was conducted over the course of 2010. For the 13,800 URLs identified, page count and visibility were calculated using the Yahoo! API. The internal values obtained were aggregated by university and compared with the values obtained from the analysis of the universities' general URLs. The results indicate that, although the c…

FOS: Computer and information sciencesURLCOMUNICACION AUDIOVISUAL Y PUBLICIDADBIBLIOTECONOMIA Y DOCUMENTACIONComputer Science - Digital LibrariesWebometricsDigital Libraries (cs.DL)Ranking
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Getting out of the closet: Scientific authorship of literary fiction and knowledge transfer

2020

Trabajo presentado a la DRUID Society Conference, celebrada en New York (US) del 12 al 14 de junio de 2017.

Literary fictionFOS: Computer and information sciencesPhysics - Physics and SocietySociology of scientific knowledgemedia_common.quotation_subjectCommercial lawFOS: Physical sciencesPhysics and Society (physics.soc-ph)050905 science studiesCreative classAccounting0502 economics and businessClosetDigital Libraries (cs.DL)SociologyBusiness and International ManagementFunction (engineering)media_common05 social sciencesGeneral EngineeringComputer Science - Digital LibrariesEpistemology0509 other social sciencesKnowledge transfer050203 business & managementMechanism (sociology)
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