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Jeniffer Rubio Abril

Personal Details

First Name:Jeniffer
Middle Name:Rubio
Last Name:Abril
Suffix:
RePEc Short-ID:pab523
https://www.linkedin.com/in/jeniffer-rubio-abril-aa285999/
Terminal Degree:2023 Departamento de Economía; Facultad de Ciencias Económicas, Empresariales y Turismo; Universidad de Alcalá de Henares (from RePEc Genealogy)

Affiliation

Banco Central del Ecuador

Quito, Ecuador
http://www.bce.fin.ec/
RePEc:edi:bcegvec (more details at EDIRC)

Research output

as
Jump to: Articles Chapters

Articles

  1. Arranz, José M. & Burguillo, Mercedes & Rubio, Jeniffer, 2022. "Are public transport policies influencing the transport behaviour of older people and economic equity? A case study of the Madrid Region," Research in Transportation Economics, Elsevier, vol. 95(C).
  2. Rubio, Jeniffer & Pérez, Bryan & Arroyo, John, 2021. "Risk monitoring in Ecuador's payment system: Implementation of a network topology study," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(3).
  3. Rubio, Jeniffer & Barucca, Paolo & Gage, Gerardo & Arroyo, John & Morales-Resendiz, Raúl, 2020. "Classifying payment patterns with artificial neural networks: An autoencoder approach," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 1(1).
  4. Arranz, José M. & Burguillo, Mercedes & Rubio, Jennifer, 2019. "Subsidisation of public transport fares for the young: An impact evaluation analysis for the Madrid Metropolitan Area," Transport Policy, Elsevier, vol. 74(C), pages 84-92.

Chapters

  1. Luis Gerardo Gage & Raúl Morales-Resendiz & John Arroyo & Jeniffer Rubio & Paolo Barucca, 2022. "Classifying payment patterns with artificial neural networks: an autoencoder approach," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Machine learning in central banking, volume 57, Bank for International Settlements.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Arranz, José M. & Burguillo, Mercedes & Rubio, Jeniffer, 2022. "Are public transport policies influencing the transport behaviour of older people and economic equity? A case study of the Madrid Region," Research in Transportation Economics, Elsevier, vol. 95(C).

    Cited by:

    1. Joanna Miklinska, 2023. "Selected Urban Mobility Issues of the Elderly:The Polish Experience," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 904-920.

  2. Rubio, Jeniffer & Pérez, Bryan & Arroyo, John, 2021. "Risk monitoring in Ecuador's payment system: Implementation of a network topology study," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(3).

    Cited by:

    1. Heijmans, Ronald & Wendt, Froukelien, 2023. "Measuring the impact of a failing participant in payment systems," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 4(4).

  3. Rubio, Jeniffer & Barucca, Paolo & Gage, Gerardo & Arroyo, John & Morales-Resendiz, Raúl, 2020. "Classifying payment patterns with artificial neural networks: An autoencoder approach," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 1(1).

    Cited by:

    1. Paulick, Jan & Berndsen, Ron & Diehl, Martin & Heijmans, Ronald, 2021. "No more Tears without Tiers? The Impact of Indirect Settlement on liquidity use in TARGET2," Discussion Paper 2021-022, Tilburg University, Center for Economic Research.
    2. Ajit Desai & Anneke Kosse & Jacob Sharples, 2024. "Finding a needle in a haystack: a machine learning framework for anomaly detection in payment systems," BIS Working Papers 1188, Bank for International Settlements.
    3. Carolina E S Mattsson & Teodoro Criscione & Frank W Takes, 2022. "Circulation of a digital community currency," Papers 2207.08941, arXiv.org, revised Jun 2023.
    4. Sabetti, Leonard & Heijmans, Ronald, 2021. "Shallow or deep? Training an autoencoder to detect anomalous flows in a retail payment system," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(2).
    5. Heijmans, Ronald & Wendt, Froukelien, 2023. "Measuring the impact of a failing participant in payment systems," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 4(4).
    6. Ludivia Hernandez Aros & Luisa Ximena Bustamante Molano & Fernando Gutierrez-Portela & John Johver Moreno Hernandez & Mario Samuel Rodríguez Barrero, 2024. "Financial fraud detection through the application of machine learning techniques: a literature review," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-22, December.
    7. Arévalo, Franklim & Barucca, Paolo & Téllez-León, Isela-Elizabeth & Rodríguez, William & Gage, Gerardo & Morales, Raúl, 2022. "Identifying clusters of anomalous payments in the salvadorian payment system," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 3(1).
    8. Irving Fisher Committee, 2024. "Granular data: new horizons and challenges," IFC Bulletins, Bank for International Settlements, number 61.

  4. Arranz, José M. & Burguillo, Mercedes & Rubio, Jennifer, 2019. "Subsidisation of public transport fares for the young: An impact evaluation analysis for the Madrid Metropolitan Area," Transport Policy, Elsevier, vol. 74(C), pages 84-92.

    Cited by:

    1. Arranz, José M. & Burguillo, Mercedes & Rubio, Jeniffer, 2022. "Are public transport policies influencing the transport behaviour of older people and economic equity? A case study of the Madrid Region," Research in Transportation Economics, Elsevier, vol. 95(C).

Chapters

  1. Luis Gerardo Gage & Raúl Morales-Resendiz & John Arroyo & Jeniffer Rubio & Paolo Barucca, 2022. "Classifying payment patterns with artificial neural networks: an autoencoder approach," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Machine learning in central banking, volume 57, Bank for International Settlements.
    See citations under working paper version above.Sorry, no citations of chapters recorded.

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Co-authorship network on CollEc

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