Lectura trabajos fin de titulación

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El Grupo de Sistemas Inteligentes (GSI), reconocido oficialmente por la Universidad Politécnica de Madrid (UPM), está integrado por 14 profesores, 8 investigadores y 7 estudiantes de grado de diferentes departamentos de la universidad, la mayoría de ellos del Departamento de Ingeniería de Sistemas Telemáticos (DIT) de la Escuela Técnica Superior de Ingenieros de Telecomunicación (ETSIT-UPM).

Desde 1982, nuestro grupo ha llevado a cabo la investigación, el desarrollo y la innovación de teorías, métodos y aplicaciones de técnicas de inteligencia artificial, especialmente en los campos de Aprendizaje automático, Big Data, Tecnologías semánticas y Linked Data, Agentes inteligentes y Simulación social, e Ingeniería web y de servicios.

Nuestro grupo ofrece trabajos fin de grado y trabajos fin de máster en temas relacionados con Aprendizaje Automático, Big Data y la Web de Datos. Ofrecemos la posibilidad de publicar el resultado en congresos internacionales.

“Highly organized research is guaranteed to produce nothing new.” ― Frank Herbert, Dune

“An expert is one who knows more and more about less and less until he knows absolutely everything about nothing.” ― Nicholas Murray Butler

“Science is simply common sense at its best, that is, rigidly accurate in observation, and merciless to fallacy in logic.” ― Thomas Henry Huxley

If we knew what we were doing, it wouldn't be research

“I believe that at the end of the century the use of words and general educated opinion will have altered so much that one will be able to speak of machines thinking without expecting to be contradicted.” - Alan Turing

GSI ha desarrollado un sistema multiagente de diagńostico de red que está siendo usado por Telefónica en España y O2 en la República Checa

GSI participa en un proyecto de simulación social de evaluación de grandes instalaciones financiado por la Comunidad de Madrid

The Semantic Web is not a separate Web but an extension of the current one, in which information is given well-defined meaning, better enabling computers and people to work in cooperation. - Tim Berners-Lee

Investigación

Proyectos

Canal GSI

Software

Publicaciones

Últimas noticias

Published Paper: "Contextualization of a Radical Language Detection System Through Moral Values and Emotions"

The article Contextualization of a Radical Language Detection System Through Moral Values and Emotions has been recently published in the IEEE Access journal (JCR Q2 2022, 3.9 IF). The publicacion is authored by Pat ...

Final Conference Project PARTICIPATION

GSI is participating in the final conference of the project PARTICIPATION in Rome. The conference showcases the innovative and participatory methods and tools that the project has developed and tested for analysing ...

Published paper "Detection of the Severity Level of Depression Signs in Text Combining a Feature-Based Framework with Distributional Representations" in Applied Sciences

The article "Detection of the Severity Level of Depression Signs in Text Combining a Feature-Based Framework with Distributional Representations ", by Sergio Muñoz and Carlos A. Iglesias has been published in the A ...

Canal GSI

Lectura trabajos fin de titulación

Hola,

Estas semanas se leen varios trabajos fin de titulación, estáis todos invitados a las lecturas.

El jueves 4/7/2019 en el aula B225, los TFGs:

9:00 Fernando Loro, "Development of Intrusion Detection Models for CyberSecurity in Computer Networks applying Machine Learning Algorithms"
10:20 Adrián González, "Design and development of a developer sentiment analysis system based on GitHub commit comments"
10:40 Luis Caballero, "Development of a Mobile Nutritional Assistant for Supermarkets with the technology DialogFlow"
11:00 Alejandro López, "Design and development of gamified smart objects for museums based on automatically generated quizzes exploiting Linked Data. Application: Telecommunications Museum at ETSIT."

El viernes 5/7/2019 en el aula B225, los TFGs:

9:40 Pablo Lostao, "Development of a Mobile augmented reality virtual assistant for a smart office"
10:00 Gonzalo Osende, "Design and Development of a song recommender system based on user experience and emotions"

El martes 9/7/2019 en el aula B223, el TFM:

9:20, Fernando Benayas, "Design of an architecture for cyber-attack detection on an SDN environment"

El miércoles 10/7/2019 en el aula B222, el TFG:

9:40, Luis García, "Design and Development of a Lexicon-based Emotion Classifier for the Sports Domain on Twitter"

El viernes 12/7/2019 en el aula B22, los TFMs:

9:00 José Fernández, "Design of an Emotional Lighting System based on Sentiment Analysis of Twitter"
9:20 Enrique Sánchez, "Design and Development of an Emotion-aware Learning Analytics system based on Machine Learning Techniques and Semantic Task Automation"
9:40 Eduardo Merino, "Design and Development of a Social Choice Model Simulation for occupant welfare in Smart Buildings based on a Blockchain solution"