{"id":1802,"count":0,"description":"\nModelización<\/strong>: este área de investigación se centra en analizar conjuntos de datos con el fin de extraer conocimiento. Se utilizan técnicas de aprendizaje automático y estadística, como: clasificación multi-dimensional y multi-etiqueta, clustering en espacios de alta dimensión, redes Bayesianas, selección de variables, regresión multi-respuesta y regularización.\n\n \n\nOptimización heurística<\/strong>: métodos heurísticos de optimización y su aplicabilidad a problemas más complejos. Entre otros se estudian métodos de búsqueda local, algoritmos genéticos, estrategias evolutivas y algoritmos de estimación de distribuciones.\n\n \n\nNeurociencia<\/strong>: es nuestro principal campo de aplicación. Algunos de los problemas que abordamos incluyen: cuestiones de neuroanatomía, como el modelado y simulación de árboles dendríticos y clasificación de los tipos de neuronas basados en características morfológicas; enfermedades neurodegenerativas, como la predicción de la calidad de vida en la enfermedad de Parkinson y la búsqueda de biomarcadores genéticos en la enfermedad de Alzheimer; segmentación de imágenes de microscopia electrónica y confocal.\n\n \n\nOtros campos de aplicación<\/strong>: biomedicina, agricultura, bioinformática, bibliometría,  medio ambiente e Industry 4.0, donde se utilizan técnicas de aprendizaje automático para analizar de manera inteligente la ingente cantidad de datos que generan los agentes interconectados de las plantas industriales. Todo ello, con el objetivo de crear modelos de ayuda a la decisión en tiempo real para la “fábrica del futuro”.\n","link":"https:\/\/www.upm.es\/recursosidi\/en\/map\/en_computational-intelligence-group\/","name":"Computational Intelligence Group","slug":"en_computational-intelligence-group","taxonomy":"donde","parent":0,"meta":[],"id_grupo_portal":"385","acronimo":"CIG","resumen":"\n

\n Our group was founded in 2008 by the professors Pedro Larra\u00f1aga and Concha Bielza, and consists of 3 researchers and more than 10 trainee researchers, producing more than 15 JCR articles each year and taking part in international conferences and workshops. The group belongs to the Artificial Intelligence department at the HTSE for IT Engineers, located at the Montegancedo International Excellence Campus. Many of us are part of the Cajal Blue Brain project and the Human Brain Project, in collaboration with the Biomedical Technology Centre which means we can address several different fields due to the participation of researchers from various disciplines.<\/span>\n <\/p>\n

\n The group members' research is devoted to modelling, data mining, spatial statistics, directional statistics, Bayesian networks, heuristic optimisation and many applications in neuroscience, biomedicine, bioinformatics and industry.<\/span>\n <\/p>\n ","imagen":false,"responsable":"Pedro Mar\u00eda Larra\u00f1aga M\u00fagica","lineas":"Computational Neuroscience\nData Mining\nHeuristic Optimization","direccion":"","telefono":"910672896","pagina_web":"http:\/\/cig.fi.upm.es\/","email":"gi.cig@upm.es","actividades":"

\n The CIG has taken part in more than 80 research projects, in public competitive tenders and with private companies: Telef\u00f3nica I + D, Abbott, Arthur Andersen, Progenika Biopharma, Banco de Santander, Panda Security, Etxe-Tar, Gaindu and Atos Origin. Amongst the current public projects, it is worth highlighting the Human Brain Project<\/a>, one of only two FET-Flagship granted in 2013 (7th EU Framework Programme) with more than 80 institutions taking part.<\/span>\n <\/p>\n

\n Several members of the group have developed patents and software programs relating to their different lines of research.<\/span>\n <\/p>\n

\n Some of our members have also received important awards, such as the national Aritmel IT prize (2013) <\/em>and the research prize from the UPM (2014).<\/em>\n <\/span>\n <\/p>\n

\n Apart from a large number of scientific publications (some of which have also received important awards), our researchers are involved in scientific outreach to show matters relating to their research to society. One example of this is the El Pa\u00eds newspaper blog<\/a> which they took part in as part of Turing Year.<\/span>\n <\/p>\n

\n Furthermore, every year our group organises the Madrid UPM Advanced Statistics and Data Mining Summer School<\/a>, which, in 2015, was chosen as one of the top 10 summer schools for mathematics and statistics according to INOMICS<\/a>.<\/span>\n <\/p>","contenido":"","pictures":"http:\/\/www.upm.es\/observatorio\/vi\/gestor_general\/recuperar_archivo.jsp?id=930\rhttp:\/\/www.upm.es\/observatorio\/vi\/gestor_general\/recuperar_archivo.jsp?id=931","descripcion":"