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File:EsLibre2020 18V.P1.08 - David Arroyo Menéndez - Damegender.webm

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Original file (WebM audio/video file, VP9/Opus, length 24 min 19 s, 1,280 × 720 pixels, 757 kbps overall, file size: 131.76 MB)

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Español: [esLibre 2020] Viernes 18 - Pista I

Título: "Damegender"

Ponente: David Arroyo Menéndez

Doing the Phd in the URJC. He starts to participate in research groups with e-learning publications at UNED, while he is doing the degree in Computing Science. Later, he was working in the private companies in the web programming area. After of this, he starts master studies in the UCM to understand the methods in the sociology. Later, he decides starts the Phd with Jesús González Barahona by the ethical compromise with the Free Software and the scientific interest measuring the phenomenon with specialization in the gender matters.

Resumen:

This talk show you how to install the software, detect gender from names from different sources and acquire mathematical resources to compare methods (accuracies, confusion matrix…)

Who want to explain in detail the machine learning task about gender detection as example of use for scikit and nltk. Very popular libraries for artificial intelligence in Python.

Más información: https://propuestas.eslib.re/2020/charlas/damegender

Programa completo del congreso: https://eslib.re/2020/programa/
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Author Congreso esLibre

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Date/TimeThumbnailDimensionsUserComment
current14:29, 24 November 202024 min 19 s, 1,280 × 720 (131.76 MB)Eslibre (talk | contribs)Uploaded own work with UploadWizard

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Format Bitrate Status Encode time
VP9 720P 532 kbps Completed 02:14, 25 February 2026 45 min 26 s
VP9 480P 262 kbps Completed 02:14, 25 February 2026 32 min 48 s
VP9 360P 167 kbps Completed 02:14, 25 February 2026 25 min 40 s
VP9 240P 125 kbps Completed 02:14, 25 February 2026 14 min 30 s
WebM 360P 394 kbps Completed 01:56, 25 February 2026 6 min 2 s
QuickTime 144p (MJPEG) 966 kbps Completed 02:22, 25 February 2026 1 min 24 s

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