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Mostrando ítems 1-20 de 24

    • A benders’ decomposition approach for optimizing the electric system of offshore wind farms 

      Lumbreras Sancho, Sara; Ramos Galán, Andrés (Norwegian University of Science Technology (NTNU), IEEE PE Norway Chapter (Trondheim, Noruega), 19/06/2011)
      Optimizing the electric design of an offshore wind farm is a key issue given cost and reliability considerations. The model presented here has been developed to efficiently optimize the electric layout of a wind farm taking ...

    • A common risk factor in global credit and equity markets: An exploratory analysis of the subprime and the sovereign-debt crises 

      Corzo Santamaría, María Teresa; Lazcano Benito, Laura Inés; Márquez Vigil, Javier; Gismera Tierno, Laura; Lumbreras Sancho, Sara (2020-06-02)
      Este documento investiga la existencia de un factor de riesgo común en todas las clases de activos y áreas geográficas, centrándose en las crisis y los períodos posteriores a la crisis. Este factor tiene implicaciones ...

    • Belief networks as complex systems 

      Lumbreras Sancho, Sara; Oviedo, Lluis (13/11/2020)
      There has been extensive work on understanding belief, from a psychological, philosophical and neurobiological perspective. Meanwhile, artificial intelligence has produced compelling developments that can enrich and update ...

    • Characteristics and prognosis of COVID-19 in patients with COPD 

      Graziani Noriega, Desirée; Soriano Ortiz, Joan B.; del Río Bermúdez, Carlos; Morena Valles, Diego Diego; Díaz Perdigón, Teresa; Castillo García, María; Alonso Rodriguez, Miguel; Ancochea Bermúdez, Julio; Lumbreras Sancho, Sara; Izquierdo Alonso, José L (12/10/2020)
      Patients with COPD have a higher prevalence of coronary ischemia and other factors that put them at risk for COVID-19-related complications. We aimed to explore the impact of COVID-19 in a large population-based sample of ...

    • Clinical characteristics and prognostic factors for icu admission of patientswith covid-19: a retrospective study using machine learning and natural language processing 

      Izquierdo Alonso, José L; Ancochea Bermúdez, Julio; Hernández Medrano, Ignacio; Tello Guijarro, Jorge; Porras Chavarino, Alberto; Serrano Olmedo, Marisa; Lumbreras Sancho, Sara; del Río Bermúdez, Carlos; Marchesseau, Stephanie; Salcedo Ramos, Ignacio; Martínez, Andrea; Maté Ruiz, Claudia; Collazo Carrera, Sergio Sergio; Barea Mendoza, Jesús; Villamayor Delgado, María; Urda Martínez Aedo, Antonio; de la Pinta, Carolina; Zubizarreta, Imanol; González Fernández, Yolanda; Menke, Sebastian; Soriano Ortiz, Joan B. (28/10/2020)
      <p> <p style="text-align:justify"><p><strong>Background </strong></p> Many factors involved in the onset and clinical course of the ongoing COVID-19 pandemic are still unknown. Although big data analytics and artificial ...

    • Clinical characteristics and prognostic factors for icu admission of patientswith covid-19: a retrospective study using machine learning and natural language processing 

      Izquierdo Alonso, José L; Ancochea Bermúdez, Julio; Hernández Medrano, Ignacio; Tello Guijarro, Jorge; Porras Chavarino, Alberto; Serrano Olmedo, Marisa; Lumbreras Sancho, Sara; del Río Bermúdez, Carlos; Marchesseau, Stephanie; Salcedo Ramos, Ignacio; Martínez, Andrea; Maté Ruiz, Claudia; Collazo Carrera, Sergio Sergio; Barea Mendoza, Jesús; Villamayor Delgado, María; Urda Martínez Aedo, Antonio; de la Pinta, Carolina; Zubizarreta, Imanol; González Fernández, Yolanda; Menke, Sebastian; Soriano Ortiz, Joan B. (28/10/2020)
      <p> <p style="text-align:justify"><p><strong>Background </strong></p> Many factors involved in the onset and clinical course of the ongoing COVID-19 pandemic are still unknown. Although big data analytics and artificial ...

    • Clinical characteristics and prognostic factors for icu admission of patientswith covid-19: a retrospective study using machine learning and natural language processing 

      Izquierdo Alonso, José L; Ancochea Bermúdez, Julio; Hernández Medrano, Ignacio; Tello Guijarro, Jorge; Porras Chavarino, Alberto; Serrano Olmedo, Marisa; Lumbreras Sancho, Sara; del Río Bermúdez, Carlos; Marchesseau, Stephanie; Salcedo Ramos, Ignacio; Martínez, Andrea; Maté Ruiz, Claudia; Collazo Carrera, Sergio Sergio; Barea Mendoza, Jesús; Villamayor Delgado, María; Urda Martínez Aedo, Antonio; de la Pinta, Carolina; Zubizarreta, Imanol; González Fernández, Yolanda; Menke, Sebastian; Soriano Ortiz, Joan B. (28/10/2020)
      <p> <p style="text-align:justify"><p><strong>Background </strong></p> Many factors involved in the onset and clinical course of the ongoing COVID-19 pandemic are still unknown. Although big data analytics and artificial ...

    • Clinical characteristics and prognostic factors for icu admission of patientswith covid-19: a retrospective study using machine learning and natural language processing 

      Izquierdo Alonso, José L; Ancochea Bermúdez, Julio; Hernández Medrano, Ignacio; Tello Guijarro, Jorge; Porras Chavarino, Alberto; Serrano Olmedo, Marisa; Lumbreras Sancho, Sara; del Río Bermúdez, Carlos; Marchesseau, Stephanie; Salcedo Ramos, Ignacio; Martínez, Andrea; Maté Ruiz, Claudia; Collazo Carrera, Sergio Sergio; Barea Mendoza, Jesús; Villamayor Delgado, María; Urda Martínez Aedo, Antonio; de la Pinta, Carolina; Zubizarreta, Imanol; González Fernández, Yolanda; Menke, Sebastian; Soriano Ortiz, Joan B. (28/10/2020)
      Background Many factors involved in the onset and clinical course of the ongoing COVID-19 pandemic are still unknown. Although big data analytics and artificial intelligence are widely used in the realms of health and ...

    • Clinical characteristics and prognostic factors for icu admission of patientswith covid-19: a retrospective study using machine learning and natural language processing 

      Izquierdo Alonso, José L; Ancochea Bermúdez, Julio; Hernández Medrano, Ignacio; Tello Guijarro, Jorge; Porras Chavarino, Alberto; Serrano Olmedo, Marisa; Lumbreras Sancho, Sara; del Río Bermúdez, Carlos; Marchesseau, Stephanie; Salcedo Ramos, Ignacio; Martínez, Andrea; Maté Ruiz, Claudia; Collazo Carrera, Sergio Sergio; Barea Mendoza, Jesús; Villamayor Delgado, María; Urda Martínez Aedo, Antonio; de la Pinta, Carolina; Zubizarreta, Imanol; González Fernández, Yolanda; Menke, Sebastian; Soriano Ortiz, Joan B. (28/10/2020)
      Background Many factors involved in the onset and clinical course of the ongoing COVID-19 pandemic are still unknown. Although big data analytics and artificial intelligence are widely used in the realms of health and ...

    • ¿Convergen las diferentes disciplinas de conocimiento? Evidencia cuantitativa 

      Lumbreras Sancho, Sara; Mealy, Penny; Verzijl, Christopher; Way, Samuel F. (30/01/2016)

    • Energy transition pathways to a low-carbon europe in 2050: the degree of cooperation and the level of decentralization 

      Crespo del Granado, Pedro; Resch, Gustav; Holz, Franziska; Welisch, Marijke; Geipel, Jasper; Hartner, Michael; Forthuber, Sebastian; Sensfuss, Frank; Olmos Camacho, Luis; Bernath, Christiane; Lumbreras Sancho, Sara; Kranzl, Lukas; Müller, Andreas; Heitel, Stephanie; Herbst, Andrea; Wilson, Charlie; Ramos Galán, Andrés (01/03/2020)
      In the framework of the Paris Agreement, the European Union (EU) will have to firmly set decarbonization targets to 2050. However, the viability on these targets is an ongoing discussion. The European Commission has made ...

    • How a Humbler Science Becomes a Better Science 

      Lumbreras Sancho, Sara; Gismera Tierno, Laura; Oviedo, Lluis (2023-01-03)
      Darle a la humildad un papel clave en la práctica y la comunicación científica mejoraría su función social objetiva, es decir, la producción de conocimiento sobre nuestro mundo y su aplicación a la mejora de la condición ...

    • How a humbler science becomes a better science 

      Lumbreras Sancho, Sara; Gismera Tierno, Laura; Oviedo, Lluis (03/01/2023)
      Giving humility a key role in scientific practice and communication would improve its objective social function—that is, the production of knowledge about our world and its application to the improvement of the human ...

    • Impact of information and communication technologies on human cognitive processes. Implications for human nature 

      Lumbreras Sancho, Sara (30/01/2016)

    • Inteligencia artificial y medicina. La necesidad de modelos interpretables 

      Lumbreras Sancho, Sara (07/01/2021)
      La pandemia ha proporcionado ejemplos claros del potencial de la IA para el sector de la salud, así como algunos de sus problemas, en buena parte derivados del uso de modelos de caja negra. En algunos casos, no existen ...

    • Joint generation and transmission expansion planning 

      Lumbreras Sancho, Sara; Fernández González, José Luis; Ramos Galán, Andrés; Olmos Camacho, Luis; Rivier Abbad, Michel Luis (CIGRE (París, Francia), 24/08/2014)

    • Objetividad, humildad epistémica y ciencia responsable 

      Lumbreras Sancho, Sara (01/03/2020)
      La ciencia y la tecnología no realizan sus funciones de manera objetiva, sino que se construyen desde los puntos de vista de los individuos que participan de ella y de ellos heredan sus defectos y virtudes. En este artículo ...

    • Real options valuation applied to transmission expansion planning 

      Lumbreras Sancho, Sara; Bunn, Derek W.; Ramos Galán, Andrés; Chronopoulos, Michail (Association des Economistes de l'Energie (París, Francia), 04/06/2015)
      Transmission Expansion Planning (TEP) is a complex problem where building a new line involves a long permitting process of around 10 years. Therefore, transmission expansion must anticipate the evolution of uncertainties ...

    • Sell in May and go away: otra perspectiva 

      Corzo Santamaría, María Teresa; Lumbreras Sancho, Sara; Zatarain López-Sors, María Angeles (22/06/2017)
      Describe los giros del mercado en primavera y otoño

    • Snapshot selection based on statistical clustering for transmission expansion planning 

      Agapoff, Sergei; Pache, Camille; Panciatici, Patrick; Warland, Leif; Lumbreras Sancho, Sara (Eindhoven University of Technology (Eindhoven, España), 29/06/2015)
      Transmission Expansion Planning (TEP) is usually performed on a few operating situations or snapshots. In order to get a representative set of snapshots, it is necessary to select them carefully. We propose a clustering ...