{"id":355973,"date":"2026-05-27T12:13:14","date_gmt":"2026-05-27T15:13:14","guid":{"rendered":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/?p=355973"},"modified":"2026-05-29T12:20:23","modified_gmt":"2026-05-29T15:20:23","slug":"investigacion-desarrolla-modelo-de-inteligencia-artificial-interpretable-para-detectar-anomalias-en-sistemas-distribuidos","status":"publish","type":"post","link":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/2026\/05\/27\/investigacion-desarrolla-modelo-de-inteligencia-artificial-interpretable-para-detectar-anomalias-en-sistemas-distribuidos\/","title":{"rendered":"Investigaci\u00f3n desarrolla modelo de inteligencia artificial interpretable para detectar anomal\u00edas en sistemas distribuidos"},"content":{"rendered":"<p data-start=\"116\" data-end=\"427\"><span class=\"TextRun SCXW173679359 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW173679359 BCX0\">El\u00a0<\/span><span class=\"NormalTextRun SpellingErrorV2Themed SCXW173679359 BCX0\">profesor<\/span><span class=\"NormalTextRun SCXW173679359 BCX0\"> <a href=\"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/team\/rodrigo-carrasco\/\"><strong><span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\">Rodrigo Carrasco<\/span><\/span><\/strong><\/a> <\/span><span class=\"NormalTextRun SpellingErrorV2Themed SCXW173679359 BCX0\">public\u00f3<\/span><span class=\"NormalTextRun SCXW173679359 BCX0\">\u00a0<\/span><span class=\"NormalTextRun SpellingErrorV2Themed SCXW173679359 BCX0\">recientemente<\/span><span class=\"NormalTextRun SCXW173679359 BCX0\">\u00a0el\u00a0<\/span><span class=\"NormalTextRun SpellingErrorV2Themed SCXW173679359 BCX0\">art\u00edculo<\/span><span class=\"NormalTextRun SCXW173679359 BCX0\">\u00a0<\/span><\/span><a href=\"https:\/\/www.nature.com\/articles\/s41598-026-53847-z\"><span class=\"TextRun SCXW173679359 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW173679359 BCX0\">\u201cInterpretable Transformer-based model with sentiment analysis for anomaly detection in individual logs in distributed systems using word-level explanations\u201d<\/span><\/span><\/a><span class=\"TextRun SCXW173679359 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW173679359 BCX0\">\u00a0<\/span><span class=\"NormalTextRun SpellingErrorV2Themed SCXW173679359 BCX0\">en<\/span><span class=\"NormalTextRun SCXW173679359 BCX0\">\u00a0la\u00a0<\/span><span class=\"NormalTextRun SpellingErrorV2Themed SCXW173679359 BCX0\">revista<\/span><span class=\"NormalTextRun SCXW173679359 BCX0\">\u00a0<\/span><span class=\"NormalTextRun SpellingErrorV2Themed SCXW173679359 BCX0\">cient\u00edfica<\/span><span class=\"NormalTextRun SCXW173679359 BCX0\">\u00a0<\/span><\/span><span class=\"TextRun SCXW173679359 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW173679359 BCX0\">Scientific Reports<\/span><\/span><span class=\"TextRun SCXW173679359 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW173679359 BCX0\">\u00a0del\u00a0<\/span><span class=\"NormalTextRun SpellingErrorV2Themed SCXW173679359 BCX0\">grupo<\/span><span class=\"NormalTextRun SCXW173679359 BCX0\">\u00a0Nature.<\/span><span class=\"NormalTextRun SCXW173679359 BCX0\">\u00a0<\/span><\/span><\/p>\n<p data-start=\"116\" data-end=\"427\"><span class=\"TextRun SCXW173679359 BCX0\" lang=\"ES-ES\" xml:lang=\"ES-ES\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW173679359 BCX0\">La investigaci\u00f3n fue desarrollada junto al exalumno Andr\u00e9s Catal\u00e1n y Gonzalo Ruz Heredia.<\/span><span class=\"NormalTextRun SCXW173679359 BCX0\">\u00a0<\/span><span class=\"NormalTextRun SCXW173679359 BCX0\">El estudio aborda uno de los principales desaf\u00edos de las infraestructuras digitales modernas: la detecci\u00f3n de anomal\u00edas en sistemas distribuidos y servicios en la nube a partir de los millones de registros o\u00a0<\/span><\/span><span class=\"TextRun SCXW173679359 BCX0\" lang=\"ES-ES\" xml:lang=\"ES-ES\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW173679359 BCX0\">logs<\/span><\/span><span class=\"TextRun SCXW173679359 BCX0\" lang=\"ES-ES\" xml:lang=\"ES-ES\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW173679359 BCX0\">\u00a0que estos generan diariamente.<\/span><\/span><span class=\"EOP SCXW173679359 BCX0\" data-ccp-props=\"{&quot;335551550&quot;:6,&quot;335551620&quot;:6}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Actualmente, los administradores de sistemas deben analizar enormes vol\u00famenes de informaci\u00f3n semiestructurada para identificar posibles fallos o comportamientos an\u00f3malos. Sin embargo, los m\u00e9todos tradicionales suelen depender de analizadores r\u00edgidos y predefinidos, lo que dificulta su adaptaci\u00f3n a sistemas din\u00e1micos y vocabularios cambiantes.<\/span><span data-ccp-props=\"{&quot;335551550&quot;:6,&quot;335551620&quot;:6}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Frente a este escenario, la investigaci\u00f3n propone un marco de inteligencia artificial basado en arquitectura\u00a0Transformer\u00a0capaz de procesar registros completos como texto, sin necesidad de utilizar analizadores sint\u00e1cticos tradicionales. El modelo utiliza representaciones contextuales basadas en BERT para identificar patrones ling\u00fc\u00edsticos asociados a estados degradados o an\u00f3malos del sistema.<\/span><span data-ccp-props=\"{&quot;335551550&quot;:6,&quot;335551620&quot;:6}\">\u00a0<\/span><\/p>\n<p><img fetchpriority=\"high\" decoding=\"async\" class=\"alignnone size-full wp-image-355976\" src=\"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/wp-content\/uploads\/2026\/05\/featured_hufaeed1a622d611bb3aff16308b311882_4542808_720x0_resize_lanczos_2-1.png\" alt=\"\" width=\"720\" height=\"995\" srcset=\"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/wp-content\/uploads\/2026\/05\/featured_hufaeed1a622d611bb3aff16308b311882_4542808_720x0_resize_lanczos_2-1.png 720w, https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/wp-content\/uploads\/2026\/05\/featured_hufaeed1a622d611bb3aff16308b311882_4542808_720x0_resize_lanczos_2-1-217x300.png 217w\" sizes=\"(max-width: 720px) 100vw, 720px\" \/><\/p>\n<p><span data-contrast=\"auto\">Uno de los principales aportes del trabajo es la incorporaci\u00f3n de herramientas de interpretabilidad en modelos de aprendizaje profundo. A trav\u00e9s de un procedimiento de reconstrucci\u00f3n sem\u00e1ntica utilizando valores SHAP, la investigaci\u00f3n logra transformar decisiones complejas del modelo en explicaciones comprensibles para operadores humanos a nivel de palabra.<\/span><span data-ccp-props=\"{&quot;335551550&quot;:6,&quot;335551620&quot;:6}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">De esta manera, el sistema no solo detecta anomal\u00edas, sino que tambi\u00e9n identifica los t\u00e9rminos espec\u00edficos que originan una alerta, entregando evidencia cuantificable y \u00fatil para apoyar la toma de decisiones en entornos complejos.\u00a0\u201cEn lugar de simplemente proporcionar a los operadores del sistema una alerta binaria de \u2018Error\u2019 o \u2018Sin error\u2019, nuestro modelo ofrece evidencia cuantificada a nivel de palabra\u201d, se\u00f1al\u00f3 Rodrigo Carrasco tras la publicaci\u00f3n del art\u00edculo.<\/span><span data-ccp-props=\"{&quot;335551550&quot;:6,&quot;335551620&quot;:6}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Los resultados obtenidos en m\u00faltiples conjuntos de datos p\u00fablicos demostraron que el enfoque propuesto permite una mejor generalizaci\u00f3n frente a vocabularios nuevos y escenarios fuera del dominio, entregando adem\u00e1s herramientas \u00fatiles para sistemas de monitoreo y soporte operacional.<\/span> <span data-contrast=\"auto\">La publicaci\u00f3n se suma a las recientes investigaciones del profesor Rodrigo Carrasco en \u00e1reas de optimizaci\u00f3n, anal\u00edtica e inteligencia artificial aplicada a problemas complejos y de alto impacto.<\/span><span data-ccp-props=\"{&quot;335551550&quot;:6,&quot;335551620&quot;:6}\">\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>El\u00a0profesor Rodrigo Carrasco public\u00f3\u00a0recientemente\u00a0el\u00a0art\u00edculo\u00a0\u201cInterpretable Transformer-based model with sentiment analysis for anomaly detection in individual logs in distributed systems using word-level explanations\u201d\u00a0en\u00a0la\u00a0revista\u00a0cient\u00edfica\u00a0Scientific Reports\u00a0del\u00a0grupo\u00a0Nature.\u00a0 La investigaci\u00f3n fue desarrollada junto al exalumno Andr\u00e9s Catal\u00e1n y Gonzalo Ruz Heredia.\u00a0El estudio aborda uno de los principales desaf\u00edos de las infraestructuras digitales modernas: la detecci\u00f3n de anomal\u00edas en sistemas distribuidos y servicios en la nube a partir de los millones de registros o\u00a0logs\u00a0que estos generan diariamente.\u00a0 Actualmente, los administradores de sistemas deben analizar enormes vol\u00famenes de informaci\u00f3n semiestructurada para identificar posibles fallos o comportamientos an\u00f3malos. Sin embargo, los m\u00e9todos tradicionales suelen depender de analizadores r\u00edgidos y predefinidos, lo que dificulta su adaptaci\u00f3n a sistemas din\u00e1micos y vocabularios cambiantes.\u00a0 Frente a este escenario, la investigaci\u00f3n propone un marco de inteligencia artificial basado en arquitectura\u00a0Transformer\u00a0capaz de procesar registros completos como texto, sin necesidad de utilizar analizadores sint\u00e1cticos tradicionales. El modelo utiliza representaciones contextuales basadas en BERT para identificar patrones ling\u00fc\u00edsticos asociados a estados degradados o an\u00f3malos del sistema.\u00a0 Uno de los principales aportes del trabajo es la incorporaci\u00f3n de herramientas de interpretabilidad en modelos de aprendizaje profundo. A trav\u00e9s de un procedimiento de reconstrucci\u00f3n sem\u00e1ntica utilizando valores SHAP, la investigaci\u00f3n logra transformar decisiones complejas del modelo en explicaciones comprensibles para operadores humanos a nivel de palabra.\u00a0 De esta manera, el sistema no solo detecta anomal\u00edas, sino que tambi\u00e9n identifica los t\u00e9rminos espec\u00edficos que originan una alerta, entregando evidencia cuantificable y \u00fatil para apoyar la toma de decisiones en entornos complejos.\u00a0\u201cEn lugar de simplemente proporcionar a los operadores del sistema una alerta binaria de \u2018Error\u2019 o \u2018Sin error\u2019, nuestro modelo ofrece evidencia cuantificada a nivel de palabra\u201d, se\u00f1al\u00f3 Rodrigo Carrasco tras la publicaci\u00f3n del art\u00edculo.\u00a0 Los resultados obtenidos en m\u00faltiples conjuntos de datos p\u00fablicos demostraron que el enfoque propuesto permite una mejor generalizaci\u00f3n frente a vocabularios nuevos y escenarios fuera del dominio, entregando adem\u00e1s herramientas \u00fatiles para sistemas de monitoreo y soporte operacional. La publicaci\u00f3n se suma a las recientes investigaciones del profesor Rodrigo Carrasco en \u00e1reas de optimizaci\u00f3n, anal\u00edtica e inteligencia artificial aplicada a problemas complejos y de alto impacto.\u00a0<\/p>\n","protected":false},"author":11,"featured_media":355975,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[10],"tags":[],"class_list":["post-355973","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-noticias"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Investigaci\u00f3n desarrolla modelo de inteligencia artificial interpretable para detectar anomal\u00edas en sistemas distribuidos - Departamento de Ingenier\u00eda Industrial y de Sistemas<\/title>\n<meta name=\"description\" content=\"Chile enfrenta desaf\u00edos en innovaci\u00f3n y emprendimiento, impulsando cambios en la formaci\u00f3n de ingenieros para responder a un entorno din\u00e1mico.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/2026\/05\/27\/investigacion-desarrolla-modelo-de-inteligencia-artificial-interpretable-para-detectar-anomalias-en-sistemas-distribuidos\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Investigaci\u00f3n desarrolla modelo de inteligencia artificial interpretable para detectar anomal\u00edas en sistemas distribuidos - Departamento de Ingenier\u00eda Industrial y de Sistemas\" \/>\n<meta property=\"og:description\" content=\"Chile enfrenta desaf\u00edos en innovaci\u00f3n y emprendimiento, impulsando cambios en la formaci\u00f3n de ingenieros para responder a un entorno din\u00e1mico.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/2026\/05\/27\/investigacion-desarrolla-modelo-de-inteligencia-artificial-interpretable-para-detectar-anomalias-en-sistemas-distribuidos\/\" \/>\n<meta property=\"og:site_name\" content=\"Departamento de Ingenier\u00eda Industrial y de Sistemas\" \/>\n<meta property=\"article:published_time\" content=\"2026-05-27T15:13:14+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-05-29T15:20:23+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/wp-content\/uploads\/2026\/05\/featured_hufaeed1a622d611bb3aff16308b311882_4542808_720x0_resize_lanczos_2-e1780066661321.png\" \/>\n\t<meta property=\"og:image:width\" content=\"720\" \/>\n\t<meta property=\"og:image:height\" content=\"738\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Paula Calvo\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Escrito por\" \/>\n\t<meta name=\"twitter:data1\" content=\"Paula Calvo\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tiempo estimado de lectura\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.ing.uc.cl\\\/industrial-y-sistemas\\\/2026\\\/05\\\/27\\\/investigacion-desarrolla-modelo-de-inteligencia-artificial-interpretable-para-detectar-anomalias-en-sistemas-distribuidos\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.ing.uc.cl\\\/industrial-y-sistemas\\\/2026\\\/05\\\/27\\\/investigacion-desarrolla-modelo-de-inteligencia-artificial-interpretable-para-detectar-anomalias-en-sistemas-distribuidos\\\/\"},\"author\":{\"name\":\"Paula Calvo\",\"@id\":\"https:\\\/\\\/www.ing.uc.cl\\\/industrial-y-sistemas\\\/#\\\/schema\\\/person\\\/c80e81931ffcc5c126812fd85f61dd65\"},\"headline\":\"Investigaci\u00f3n desarrolla modelo de inteligencia artificial interpretable para detectar anomal\u00edas en sistemas distribuidos\",\"datePublished\":\"2026-05-27T15:13:14+00:00\",\"dateModified\":\"2026-05-29T15:20:23+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.ing.uc.cl\\\/industrial-y-sistemas\\\/2026\\\/05\\\/27\\\/investigacion-desarrolla-modelo-de-inteligencia-artificial-interpretable-para-detectar-anomalias-en-sistemas-distribuidos\\\/\"},\"wordCount\":414,\"publisher\":{\"@id\":\"https:\\\/\\\/www.ing.uc.cl\\\/industrial-y-sistemas\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/www.ing.uc.cl\\\/industrial-y-sistemas\\\/2026\\\/05\\\/27\\\/investigacion-desarrolla-modelo-de-inteligencia-artificial-interpretable-para-detectar-anomalias-en-sistemas-distribuidos\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.ing.uc.cl\\\/industrial-y-sistemas\\\/wp-content\\\/uploads\\\/2026\\\/05\\\/featured_hufaeed1a622d611bb3aff16308b311882_4542808_720x0_resize_lanczos_2-e1780066661321.png\",\"articleSection\":[\"Noticias\"],\"inLanguage\":\"es-CL\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.ing.uc.cl\\\/industrial-y-sistemas\\\/2026\\\/05\\\/27\\\/investigacion-desarrolla-modelo-de-inteligencia-artificial-interpretable-para-detectar-anomalias-en-sistemas-distribuidos\\\/\",\"url\":\"https:\\\/\\\/www.ing.uc.cl\\\/industrial-y-sistemas\\\/2026\\\/05\\\/27\\\/investigacion-desarrolla-modelo-de-inteligencia-artificial-interpretable-para-detectar-anomalias-en-sistemas-distribuidos\\\/\",\"name\":\"Investigaci\u00f3n desarrolla modelo de inteligencia artificial interpretable para detectar anomal\u00edas en sistemas distribuidos - Departamento de Ingenier\u00eda Industrial y de Sistemas\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.ing.uc.cl\\\/industrial-y-sistemas\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/www.ing.uc.cl\\\/industrial-y-sistemas\\\/2026\\\/05\\\/27\\\/investigacion-desarrolla-modelo-de-inteligencia-artificial-interpretable-para-detectar-anomalias-en-sistemas-distribuidos\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/www.ing.uc.cl\\\/industrial-y-sistemas\\\/2026\\\/05\\\/27\\\/investigacion-desarrolla-modelo-de-inteligencia-artificial-interpretable-para-detectar-anomalias-en-sistemas-distribuidos\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.ing.uc.cl\\\/industrial-y-sistemas\\\/wp-content\\\/uploads\\\/2026\\\/05\\\/featured_hufaeed1a622d611bb3aff16308b311882_4542808_720x0_resize_lanczos_2-e1780066661321.png\",\"datePublished\":\"2026-05-27T15:13:14+00:00\",\"dateModified\":\"2026-05-29T15:20:23+00:00\",\"description\":\"Chile enfrenta desaf\u00edos en innovaci\u00f3n y emprendimiento, impulsando cambios en la formaci\u00f3n de ingenieros para responder a un entorno din\u00e1mico.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/www.ing.uc.cl\\\/industrial-y-sistemas\\\/2026\\\/05\\\/27\\\/investigacion-desarrolla-modelo-de-inteligencia-artificial-interpretable-para-detectar-anomalias-en-sistemas-distribuidos\\\/#breadcrumb\"},\"inLanguage\":\"es-CL\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/www.ing.uc.cl\\\/industrial-y-sistemas\\\/2026\\\/05\\\/27\\\/investigacion-desarrolla-modelo-de-inteligencia-artificial-interpretable-para-detectar-anomalias-en-sistemas-distribuidos\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"es-CL\",\"@id\":\"https:\\\/\\\/www.ing.uc.cl\\\/industrial-y-sistemas\\\/2026\\\/05\\\/27\\\/investigacion-desarrolla-modelo-de-inteligencia-artificial-interpretable-para-detectar-anomalias-en-sistemas-distribuidos\\\/#primaryimage\",\"url\":\"https:\\\/\\\/www.ing.uc.cl\\\/industrial-y-sistemas\\\/wp-content\\\/uploads\\\/2026\\\/05\\\/featured_hufaeed1a622d611bb3aff16308b311882_4542808_720x0_resize_lanczos_2-e1780066661321.png\",\"contentUrl\":\"https:\\\/\\\/www.ing.uc.cl\\\/industrial-y-sistemas\\\/wp-content\\\/uploads\\\/2026\\\/05\\\/featured_hufaeed1a622d611bb3aff16308b311882_4542808_720x0_resize_lanczos_2-e1780066661321.png\",\"width\":720,\"height\":738},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/www.ing.uc.cl\\\/industrial-y-sistemas\\\/2026\\\/05\\\/27\\\/investigacion-desarrolla-modelo-de-inteligencia-artificial-interpretable-para-detectar-anomalias-en-sistemas-distribuidos\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Portada\",\"item\":\"https:\\\/\\\/www.ing.uc.cl\\\/industrial-y-sistemas\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Investigaci\u00f3n desarrolla modelo de inteligencia artificial interpretable para detectar anomal\u00edas en sistemas distribuidos\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/www.ing.uc.cl\\\/industrial-y-sistemas\\\/#website\",\"url\":\"https:\\\/\\\/www.ing.uc.cl\\\/industrial-y-sistemas\\\/\",\"name\":\"Departamento de Ingenier\u00eda Industrial y de Sistemas\",\"description\":\"Escuela de Ingenier\u00eda\",\"publisher\":{\"@id\":\"https:\\\/\\\/www.ing.uc.cl\\\/industrial-y-sistemas\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/www.ing.uc.cl\\\/industrial-y-sistemas\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"es-CL\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/www.ing.uc.cl\\\/industrial-y-sistemas\\\/#organization\",\"name\":\"Departamento de Ingenier\u00eda Industrial y de Sistemas\",\"url\":\"https:\\\/\\\/www.ing.uc.cl\\\/industrial-y-sistemas\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"es-CL\",\"@id\":\"https:\\\/\\\/www.ing.uc.cl\\\/industrial-y-sistemas\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/www.ing.uc.cl\\\/industrial-y-sistemas\\\/wp-content\\\/uploads\\\/2023\\\/11\\\/cropped-UC-P2727-01.png\",\"contentUrl\":\"https:\\\/\\\/www.ing.uc.cl\\\/industrial-y-sistemas\\\/wp-content\\\/uploads\\\/2023\\\/11\\\/cropped-UC-P2727-01.png\",\"width\":307,\"height\":414,\"caption\":\"Departamento de Ingenier\u00eda Industrial y de Sistemas\"},\"image\":{\"@id\":\"https:\\\/\\\/www.ing.uc.cl\\\/industrial-y-sistemas\\\/#\\\/schema\\\/logo\\\/image\\\/\"}},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/www.ing.uc.cl\\\/industrial-y-sistemas\\\/#\\\/schema\\\/person\\\/c80e81931ffcc5c126812fd85f61dd65\",\"name\":\"Paula Calvo\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"es-CL\",\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/98425c47e1fbf0710fb19a3911fc902dfd5bc0da35db11d06ecb53378f066c5d?s=96&d=mm&r=g\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/98425c47e1fbf0710fb19a3911fc902dfd5bc0da35db11d06ecb53378f066c5d?s=96&d=mm&r=g\",\"contentUrl\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/98425c47e1fbf0710fb19a3911fc902dfd5bc0da35db11d06ecb53378f066c5d?s=96&d=mm&r=g\",\"caption\":\"Paula Calvo\"},\"url\":\"https:\\\/\\\/www.ing.uc.cl\\\/industrial-y-sistemas\\\/author\\\/p-calvo\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Investigaci\u00f3n desarrolla modelo de inteligencia artificial interpretable para detectar anomal\u00edas en sistemas distribuidos - Departamento de Ingenier\u00eda Industrial y de Sistemas","description":"Chile enfrenta desaf\u00edos en innovaci\u00f3n y emprendimiento, impulsando cambios en la formaci\u00f3n de ingenieros para responder a un entorno din\u00e1mico.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/2026\/05\/27\/investigacion-desarrolla-modelo-de-inteligencia-artificial-interpretable-para-detectar-anomalias-en-sistemas-distribuidos\/","og_locale":"es_ES","og_type":"article","og_title":"Investigaci\u00f3n desarrolla modelo de inteligencia artificial interpretable para detectar anomal\u00edas en sistemas distribuidos - Departamento de Ingenier\u00eda Industrial y de Sistemas","og_description":"Chile enfrenta desaf\u00edos en innovaci\u00f3n y emprendimiento, impulsando cambios en la formaci\u00f3n de ingenieros para responder a un entorno din\u00e1mico.","og_url":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/2026\/05\/27\/investigacion-desarrolla-modelo-de-inteligencia-artificial-interpretable-para-detectar-anomalias-en-sistemas-distribuidos\/","og_site_name":"Departamento de Ingenier\u00eda Industrial y de Sistemas","article_published_time":"2026-05-27T15:13:14+00:00","article_modified_time":"2026-05-29T15:20:23+00:00","og_image":[{"width":720,"height":738,"url":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/wp-content\/uploads\/2026\/05\/featured_hufaeed1a622d611bb3aff16308b311882_4542808_720x0_resize_lanczos_2-e1780066661321.png","type":"image\/png"}],"author":"Paula Calvo","twitter_card":"summary_large_image","twitter_misc":{"Escrito por":"Paula Calvo","Tiempo estimado de lectura":"3 minutos"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/2026\/05\/27\/investigacion-desarrolla-modelo-de-inteligencia-artificial-interpretable-para-detectar-anomalias-en-sistemas-distribuidos\/#article","isPartOf":{"@id":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/2026\/05\/27\/investigacion-desarrolla-modelo-de-inteligencia-artificial-interpretable-para-detectar-anomalias-en-sistemas-distribuidos\/"},"author":{"name":"Paula Calvo","@id":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/#\/schema\/person\/c80e81931ffcc5c126812fd85f61dd65"},"headline":"Investigaci\u00f3n desarrolla modelo de inteligencia artificial interpretable para detectar anomal\u00edas en sistemas distribuidos","datePublished":"2026-05-27T15:13:14+00:00","dateModified":"2026-05-29T15:20:23+00:00","mainEntityOfPage":{"@id":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/2026\/05\/27\/investigacion-desarrolla-modelo-de-inteligencia-artificial-interpretable-para-detectar-anomalias-en-sistemas-distribuidos\/"},"wordCount":414,"publisher":{"@id":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/#organization"},"image":{"@id":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/2026\/05\/27\/investigacion-desarrolla-modelo-de-inteligencia-artificial-interpretable-para-detectar-anomalias-en-sistemas-distribuidos\/#primaryimage"},"thumbnailUrl":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/wp-content\/uploads\/2026\/05\/featured_hufaeed1a622d611bb3aff16308b311882_4542808_720x0_resize_lanczos_2-e1780066661321.png","articleSection":["Noticias"],"inLanguage":"es-CL"},{"@type":"WebPage","@id":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/2026\/05\/27\/investigacion-desarrolla-modelo-de-inteligencia-artificial-interpretable-para-detectar-anomalias-en-sistemas-distribuidos\/","url":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/2026\/05\/27\/investigacion-desarrolla-modelo-de-inteligencia-artificial-interpretable-para-detectar-anomalias-en-sistemas-distribuidos\/","name":"Investigaci\u00f3n desarrolla modelo de inteligencia artificial interpretable para detectar anomal\u00edas en sistemas distribuidos - Departamento de Ingenier\u00eda Industrial y de Sistemas","isPartOf":{"@id":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/2026\/05\/27\/investigacion-desarrolla-modelo-de-inteligencia-artificial-interpretable-para-detectar-anomalias-en-sistemas-distribuidos\/#primaryimage"},"image":{"@id":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/2026\/05\/27\/investigacion-desarrolla-modelo-de-inteligencia-artificial-interpretable-para-detectar-anomalias-en-sistemas-distribuidos\/#primaryimage"},"thumbnailUrl":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/wp-content\/uploads\/2026\/05\/featured_hufaeed1a622d611bb3aff16308b311882_4542808_720x0_resize_lanczos_2-e1780066661321.png","datePublished":"2026-05-27T15:13:14+00:00","dateModified":"2026-05-29T15:20:23+00:00","description":"Chile enfrenta desaf\u00edos en innovaci\u00f3n y emprendimiento, impulsando cambios en la formaci\u00f3n de ingenieros para responder a un entorno din\u00e1mico.","breadcrumb":{"@id":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/2026\/05\/27\/investigacion-desarrolla-modelo-de-inteligencia-artificial-interpretable-para-detectar-anomalias-en-sistemas-distribuidos\/#breadcrumb"},"inLanguage":"es-CL","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/2026\/05\/27\/investigacion-desarrolla-modelo-de-inteligencia-artificial-interpretable-para-detectar-anomalias-en-sistemas-distribuidos\/"]}]},{"@type":"ImageObject","inLanguage":"es-CL","@id":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/2026\/05\/27\/investigacion-desarrolla-modelo-de-inteligencia-artificial-interpretable-para-detectar-anomalias-en-sistemas-distribuidos\/#primaryimage","url":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/wp-content\/uploads\/2026\/05\/featured_hufaeed1a622d611bb3aff16308b311882_4542808_720x0_resize_lanczos_2-e1780066661321.png","contentUrl":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/wp-content\/uploads\/2026\/05\/featured_hufaeed1a622d611bb3aff16308b311882_4542808_720x0_resize_lanczos_2-e1780066661321.png","width":720,"height":738},{"@type":"BreadcrumbList","@id":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/2026\/05\/27\/investigacion-desarrolla-modelo-de-inteligencia-artificial-interpretable-para-detectar-anomalias-en-sistemas-distribuidos\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Portada","item":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/"},{"@type":"ListItem","position":2,"name":"Investigaci\u00f3n desarrolla modelo de inteligencia artificial interpretable para detectar anomal\u00edas en sistemas distribuidos"}]},{"@type":"WebSite","@id":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/#website","url":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/","name":"Departamento de Ingenier\u00eda Industrial y de Sistemas","description":"Escuela de Ingenier\u00eda","publisher":{"@id":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"es-CL"},{"@type":"Organization","@id":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/#organization","name":"Departamento de Ingenier\u00eda Industrial y de Sistemas","url":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/","logo":{"@type":"ImageObject","inLanguage":"es-CL","@id":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/#\/schema\/logo\/image\/","url":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/wp-content\/uploads\/2023\/11\/cropped-UC-P2727-01.png","contentUrl":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/wp-content\/uploads\/2023\/11\/cropped-UC-P2727-01.png","width":307,"height":414,"caption":"Departamento de Ingenier\u00eda Industrial y de Sistemas"},"image":{"@id":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/#\/schema\/logo\/image\/"}},{"@type":"Person","@id":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/#\/schema\/person\/c80e81931ffcc5c126812fd85f61dd65","name":"Paula Calvo","image":{"@type":"ImageObject","inLanguage":"es-CL","@id":"https:\/\/secure.gravatar.com\/avatar\/98425c47e1fbf0710fb19a3911fc902dfd5bc0da35db11d06ecb53378f066c5d?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/98425c47e1fbf0710fb19a3911fc902dfd5bc0da35db11d06ecb53378f066c5d?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/98425c47e1fbf0710fb19a3911fc902dfd5bc0da35db11d06ecb53378f066c5d?s=96&d=mm&r=g","caption":"Paula Calvo"},"url":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/author\/p-calvo\/"}]}},"rttpg_featured_image_url":{"full":["https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/wp-content\/uploads\/2026\/05\/featured_hufaeed1a622d611bb3aff16308b311882_4542808_720x0_resize_lanczos_2-e1780066661321.png",720,738,false],"landscape":["https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/wp-content\/uploads\/2026\/05\/featured_hufaeed1a622d611bb3aff16308b311882_4542808_720x0_resize_lanczos_2-e1780066661321.png",720,738,false],"portraits":["https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/wp-content\/uploads\/2026\/05\/featured_hufaeed1a622d611bb3aff16308b311882_4542808_720x0_resize_lanczos_2-e1780066661321.png",720,738,false],"thumbnail":["https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/wp-content\/uploads\/2026\/05\/featured_hufaeed1a622d611bb3aff16308b311882_4542808_720x0_resize_lanczos_2-e1780066661321-150x150.png",150,150,true],"medium":["https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/wp-content\/uploads\/2026\/05\/featured_hufaeed1a622d611bb3aff16308b311882_4542808_720x0_resize_lanczos_2-e1780066661321-293x300.png",293,300,true],"large":["https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/wp-content\/uploads\/2026\/05\/featured_hufaeed1a622d611bb3aff16308b311882_4542808_720x0_resize_lanczos_2-e1780066661321.png",720,738,false],"1536x1536":["https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/wp-content\/uploads\/2026\/05\/featured_hufaeed1a622d611bb3aff16308b311882_4542808_720x0_resize_lanczos_2-e1780066661321.png",720,738,false],"2048x2048":["https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/wp-content\/uploads\/2026\/05\/featured_hufaeed1a622d611bb3aff16308b311882_4542808_720x0_resize_lanczos_2-e1780066661321.png",720,738,false],"sow-carousel-default":["https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/wp-content\/uploads\/2026\/05\/featured_hufaeed1a622d611bb3aff16308b311882_4542808_720x0_resize_lanczos_2-e1780066661321-272x182.png",272,182,true]},"rttpg_author":{"display_name":"Paula Calvo","author_link":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/author\/p-calvo\/"},"rttpg_comment":0,"rttpg_category":"<a href=\"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/category\/noticias\/\" rel=\"category tag\">Noticias<\/a>","rttpg_excerpt":"El\u00a0profesor Rodrigo Carrasco public\u00f3\u00a0recientemente\u00a0el\u00a0art\u00edculo\u00a0\u201cInterpretable Transformer-based model with sentiment analysis for anomaly detection in individual logs in distributed systems using word-level explanations\u201d\u00a0en\u00a0la\u00a0revista\u00a0cient\u00edfica\u00a0Scientific Reports\u00a0del\u00a0grupo\u00a0Nature.\u00a0 La investigaci\u00f3n fue desarrollada junto al exalumno Andr\u00e9s Catal\u00e1n y Gonzalo Ruz Heredia.\u00a0El estudio aborda uno de los principales desaf\u00edos de las infraestructuras digitales modernas: la detecci\u00f3n de anomal\u00edas en sistemas distribuidos y&hellip;","_links":{"self":[{"href":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/wp-json\/wp\/v2\/posts\/355973","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/wp-json\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/wp-json\/wp\/v2\/comments?post=355973"}],"version-history":[{"count":3,"href":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/wp-json\/wp\/v2\/posts\/355973\/revisions"}],"predecessor-version":[{"id":355978,"href":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/wp-json\/wp\/v2\/posts\/355973\/revisions\/355978"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/wp-json\/wp\/v2\/media\/355975"}],"wp:attachment":[{"href":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/wp-json\/wp\/v2\/media?parent=355973"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/wp-json\/wp\/v2\/categories?post=355973"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.ing.uc.cl\/industrial-y-sistemas\/wp-json\/wp\/v2\/tags?post=355973"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}