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Analysis of institutional authors

Gomicia-Murcia, EnriqueCorresponding AuthorBordel Sanchez, BorjaAuthor

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April 21, 2024
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Proceedings Paper
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pyStudio: An Open-Source Machine Learning Platform

Publicated to: PROCEEDINGS OF THE 2023 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING, ASONAM 2023. 436-440 - 2023-01-01 (), DOI: 10.1145/3625007.3632288

Authors:

Gomicia-Murcia, E; Sánchez, BB; Souissi, R; AL-Qurishi, M
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Affiliations

ELM Co, Res & Innovat, Riyadh, Saudi Arabia - Author
Univ Politecn Madrid, Informat Technol Dept, Madrid, Spain - Author

Abstract

Data analytics has emerged as a critical capability for businesses and organizations in the modern era. The abundance of data necessitates a deep understanding and the exploitation of its potential to gain insights into current and future scenarios. This paper introduces an integrated platform designed to streamline data acquisition, storage, management, processing, and visualization. The primary objective is to facilitate data analysis by offering a machine learning studio equipped with pre-built algorithms. Remarkably, this platform eliminates the need for coding, allowing users to effortlessly generate AI models. Furthermore [19], it provides a secure environment for sharing these models without compromising data privacy-a noteworthy contribution in the realm of federated learning (FL). The platform's significance lies in its ability to empower non-technical users to perform advanced tasks without requiring specialized expertise.
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Quality index

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-24:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 9 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/85693/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 134
  • Downloads: 1
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Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Saudi Arabia.

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (GOMICIA MURCIA, ENRIQUE) and Last Author (AL-Qurishi, Muhammad).

the author responsible for correspondence tasks has been GOMICIA MURCIA, ENRIQUE.

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