{"id":1055,"date":"2023-05-31T18:31:41","date_gmt":"2023-05-31T21:31:41","guid":{"rendered":"https:\/\/datamining.dc.uba.ar\/datamining\/?p=1055"},"modified":"2023-05-31T18:33:02","modified_gmt":"2023-05-31T21:33:02","slug":"defensa-de-tesis-lic-juan-pablo-pilorget-31-05-2023-16-hs","status":"publish","type":"post","link":"https:\/\/datamininguba.com.ar\/datamining\/2023\/05\/31\/defensa-de-tesis-lic-juan-pablo-pilorget-31-05-2023-16-hs\/","title":{"rendered":"Defensa de Tesis &#8211; Lic. Juan Pablo Pilorget &#8211; 31\/05\/2023 &#8211; 16 hs."},"content":{"rendered":"<p>El Mi\u00e9rcoles 31\/05 se realiz\u00f3 la Defensa de Tesis del Lic. Juan Pablo Pilorget titulada &#8220;Segmentaci\u00f3n y reconocimiento de textos manuscritos utilizando redes profundas&#8221;. Cont\u00f3 con la direcci\u00f3n de la Dra Mar\u00eda Elena buemi. Los jurados fueron la Dra. Leticia Seijas, Dr. Claudio Delrieux, Dr. Marcelo Risk. La defensa se realiz\u00f3 de manera online. La misma puede verse a trav\u00e9s del siguiente link: <a href=\"https:\/\/youtu.be\/dHkyapOcsyc?t=685\" target=\"_blank\" rel=\"noopener\">https:\/\/youtu.be\/dHkyapOcsyc?t=685<\/a><\/p>\n<p>Resumen:<\/p>\n<p><!--more-->El reconocimiento de caracteres es un campo de investigaci\u00f3n y desarrollo aplicado que ha tenido numerosos avances en los \u00faltimos a\u00f1os. Las t\u00e9cnicas tradicionales de reconocimiento \u00f3ptico de caracteres, con una alta carga de trabajo manual para lograr su correcto funcionamiento, han comenzado a ser reemplazadas por abordajes inteligentes utilizando redes neuronales profundas. Los nuevos modelos permiten no s\u00f3lo automatizar los procesos de reconocimiento sino mejorar la calidad de un tipo espec\u00edfico: el texto escrito a mano. La cantidad creciente de documentos manuscritos digitalizados presentan a la vez un desaf\u00edo, por la imposibilidad de los m\u00e9todos tradicionales para reconocer adecuadamente ese tipo de texto, y una oportunidad, por el impacto que podr\u00edan generar para el acervo p\u00fablico el desarrollo de modelos que detecten y reconozcan correctamente caracteres escritos a mano.<\/p>\n<p>El presente trabajo profundiza en las arquitecturas de redes neuronales que pueden utilizarse para detectar texto y reconocer caracteres de forma inteligente, analizando cuantitativamente el desempe \u0303no de modelos de segmentaci\u00f3n y reconocimiento. Asimismo, eval\u00faa cualitativamente los modelos en el acervo de la Biblioteca Digital de la Facultad de Ciencias Exactas y Naturales de la Universidad de Buenos Aires, aplicando las t\u00e9cnicas a la correspondencia digitalizada de Mario Bunge. La informaci\u00f3n obtenida es sistematizada y puesta a disposici\u00f3n para futuros trabajos y l\u00edneas de investigaci\u00f3n.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>El Mi\u00e9rcoles 31\/05 se realiz\u00f3 la Defensa de Tesis del [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":556,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1055","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sin-categoria"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Defensa de Tesis - Lic. 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