The Experts below are selected from a list of 15144 Experts worldwide ranked by ideXlab platform

Dominique Labbe - One of the best experts on this subject based on the ideXlab platform.

  • Detection of computer generated papers in scientific literature
    2016
    Co-Authors: Cyril Labbe, Dominique Labbe, François Portet
    Abstract:

    Meaningless computer generated scientific texts can be used in several ways. For example, they have allowed Ike Antkare to become one of the most highly cited scientists of the modern world. Such fake publications are also appearing in real scientific conferences and, as a result, in the Bibliographic Services (Scopus, ISI-Web of Knowledge, Google Scholar,...). Recently, more than 120 papers have been withdrawn from subscription databases of two high-profile publishers, IEEE and Springer, because they were computer generated thanks to the SCIgen software. This software, based on a Probabilistic Context Free Grammar (PCFG), was designed to randomly generate computer science research papers. Together with PCFG, Markov Chains (MC) are the mains ways to generated Meaningless texts. This paper presents the mains characteristic of texts generated by PCFG and MC. For the time being, PCFG generators are quite easy to spot by an automatic way, using intertextual distance combined with automatic clustering, because these generators are behaving like authors with specifics features such as a very low vocabulary richness and unusual sentence structures. This shows that quantitative tools are effective to characterize originality (or banality) of authors' language.

  • duplicate and fake publications in the scientific literature how many scigen papers in computer science
    Scientometrics, 2013
    Co-Authors: Cyril Labbe, Dominique Labbe
    Abstract:

    Two kinds of Bibliographic tools are used to retrieve scientific publications and make them available online. For one kind, access is free as they store information made publicly available online. For the other kind, access fees are required as they are compiled on information provided by the major publishers of scientific literature. The former can easily be interfered with, but it is generally assumed that the latter guarantee the integrity of the data they sell. Unfortunately, duplicate and fake publications are appearing in scientific conferences and, as a result, in the Bibliographic Services. We demonstrate a software method of detecting these duplicate and fake publications. Both the free Services (such as Google Scholar and DBLP) and the charged-for Services (such as IEEE Xplore) accept and index these publications.

Cyril Labbe - One of the best experts on this subject based on the ideXlab platform.

  • Detection of computer generated papers in scientific literature
    2016
    Co-Authors: Cyril Labbe, Dominique Labbe, François Portet
    Abstract:

    Meaningless computer generated scientific texts can be used in several ways. For example, they have allowed Ike Antkare to become one of the most highly cited scientists of the modern world. Such fake publications are also appearing in real scientific conferences and, as a result, in the Bibliographic Services (Scopus, ISI-Web of Knowledge, Google Scholar,...). Recently, more than 120 papers have been withdrawn from subscription databases of two high-profile publishers, IEEE and Springer, because they were computer generated thanks to the SCIgen software. This software, based on a Probabilistic Context Free Grammar (PCFG), was designed to randomly generate computer science research papers. Together with PCFG, Markov Chains (MC) are the mains ways to generated Meaningless texts. This paper presents the mains characteristic of texts generated by PCFG and MC. For the time being, PCFG generators are quite easy to spot by an automatic way, using intertextual distance combined with automatic clustering, because these generators are behaving like authors with specifics features such as a very low vocabulary richness and unusual sentence structures. This shows that quantitative tools are effective to characterize originality (or banality) of authors' language.

  • duplicate and fake publications in the scientific literature how many scigen papers in computer science
    Scientometrics, 2013
    Co-Authors: Cyril Labbe, Dominique Labbe
    Abstract:

    Two kinds of Bibliographic tools are used to retrieve scientific publications and make them available online. For one kind, access is free as they store information made publicly available online. For the other kind, access fees are required as they are compiled on information provided by the major publishers of scientific literature. The former can easily be interfered with, but it is generally assumed that the latter guarantee the integrity of the data they sell. Unfortunately, duplicate and fake publications are appearing in scientific conferences and, as a result, in the Bibliographic Services. We demonstrate a software method of detecting these duplicate and fake publications. Both the free Services (such as Google Scholar and DBLP) and the charged-for Services (such as IEEE Xplore) accept and index these publications.

Barcelo S Forteza - One of the best experts on this subject based on the ideXlab platform.

  • planetary nebulae seen with tess discovery of new binary central star candidates from cycle 1
    Astronomy and Astrophysics, 2020
    Co-Authors: A Aller, J Lillobox, D Jones, L F Miranda, Barcelo S Forteza
    Abstract:

    Acknowledgements. We thank our anonymous referee for their useful comments that have improved the interpretation and discussion of the data. AA acknowledges support from Government of Comunidad Autonoma de Madrid (Spain) through postdoctoral Grant “Atraccion de Talento Investigador” 2018-T2/TIC-11697. JLB and SBF acknowledge support from the Spanish State Research Agency (AEI) through projects No. ESP2017-87676-C5-1-R and No. MDM-2017-0737 Unidad de Excelencia “Maria de Maeztu” – Centro de Astrobiologia (INTA-CSIC). DJ acknowledges support from the State Research Agency (AEI) of the Spanish Ministry of Science, Innovation and Universities (MCIU) and the European Regional Development Fund (FEDER) under grant AYA2017-83383-P. DJ also acknowledges support under grant P/308614 financed by funds transferred from the Spanish Ministry of Science, Innovation and Universities, charged to the General State Budgets and with funds transferred from the General Budgets of the Autonomous Community of the Canary Islands by the Ministry of Economy, Industry, Trade and Knowledge. LFM acknowledges partial support by grant AYA2017-84390-C2-1-R, co-funded with FEDER funds, and financial support from the State Agency for Research of the Spanish MCIU through the “Center of Excellence Severo Ochoa” award for the Insti-tuto de Astrofisica de Andalucia (SEV-2017-0709). Authors are very grateful to Cristina Rodriguez Lopez for guiding us with the analysis of RWT 152 and NGC 246. This research has made use of the SIMBAD database, operated at the CDS, Strasbourg (France), Aladin, NASA’s Astrophysics Data System Bibliographic Services, and the Spanish Virtual Observatory (http://svo.cab. inta-csic.es) supported from the Spanish MICINN/FEDER through grant AyA2017-84089. This publication makes use of data collected by TESS mission. Funding for the TESS mission is provided by the NASA Explorer Program. We acknowledge the use of pipelines at the TESS Science Office and at the TESS Science Processing Operations Center. This paper makes use of data products from the Mikulski Archive for Space Telescope.

David Fox - One of the best experts on this subject based on the ideXlab platform.

A Aller - One of the best experts on this subject based on the ideXlab platform.

  • planetary nebulae seen with tess discovery of new binary central star candidates from cycle 1
    Astronomy and Astrophysics, 2020
    Co-Authors: A Aller, J Lillobox, D Jones, L F Miranda, Barcelo S Forteza
    Abstract:

    Acknowledgements. We thank our anonymous referee for their useful comments that have improved the interpretation and discussion of the data. AA acknowledges support from Government of Comunidad Autonoma de Madrid (Spain) through postdoctoral Grant “Atraccion de Talento Investigador” 2018-T2/TIC-11697. JLB and SBF acknowledge support from the Spanish State Research Agency (AEI) through projects No. ESP2017-87676-C5-1-R and No. MDM-2017-0737 Unidad de Excelencia “Maria de Maeztu” – Centro de Astrobiologia (INTA-CSIC). DJ acknowledges support from the State Research Agency (AEI) of the Spanish Ministry of Science, Innovation and Universities (MCIU) and the European Regional Development Fund (FEDER) under grant AYA2017-83383-P. DJ also acknowledges support under grant P/308614 financed by funds transferred from the Spanish Ministry of Science, Innovation and Universities, charged to the General State Budgets and with funds transferred from the General Budgets of the Autonomous Community of the Canary Islands by the Ministry of Economy, Industry, Trade and Knowledge. LFM acknowledges partial support by grant AYA2017-84390-C2-1-R, co-funded with FEDER funds, and financial support from the State Agency for Research of the Spanish MCIU through the “Center of Excellence Severo Ochoa” award for the Insti-tuto de Astrofisica de Andalucia (SEV-2017-0709). Authors are very grateful to Cristina Rodriguez Lopez for guiding us with the analysis of RWT 152 and NGC 246. This research has made use of the SIMBAD database, operated at the CDS, Strasbourg (France), Aladin, NASA’s Astrophysics Data System Bibliographic Services, and the Spanish Virtual Observatory (http://svo.cab. inta-csic.es) supported from the Spanish MICINN/FEDER through grant AyA2017-84089. This publication makes use of data collected by TESS mission. Funding for the TESS mission is provided by the NASA Explorer Program. We acknowledge the use of pipelines at the TESS Science Office and at the TESS Science Processing Operations Center. This paper makes use of data products from the Mikulski Archive for Space Telescope.