Listar por autor "Sánchez-Maroño, Noelia"

Mostrando ítems 1-7 de 7

    • A comparison of performance of K-complex classification methods using feature selection 

      Hernández-Pereira, Elena; Bolón-Canedo, Verónica; Sánchez-Maroño, Noelia; Álvarez-Estévez, Diego; Moret-Bonillo, Vicente; Alonso-Betanzos, Amparo (2016-01-20)
      [Abstract] The main objective of this work is to obtain a method that achieves the best accuracy results with a low false positive rate in the classification of K-complexes, a kind of transient waveform found in the ...

    • An Intelligent and Collaborative Multiagent System in a 3D Environment 

      Rodríguez Arias, Alejandro; Guijarro-Berdiñas, Bertha; Sánchez-Maroño, Noelia (MDPI AG, 2020-08-21)
      [Abstract] Multiagent systems (MASs) allow facing complex, heterogeneous, distributed problems difficult to solve by only one software agent. The world of video games provides problems and suitable environments for the use ...

    • How Agent-based modeling can help to foster sustainability projects 

      Sánchez-Maroño, Noelia; Rodríguez Arias, Alejandro; Dumitru, Adina; Lema-Blanco, Isabel; Guijarro-Berdiñas, Bertha; Alonso-Betanzos, Amparo (Elsevier, 2022)
      [Abstract] The Sustainable Development Goals (SDGs) adopted by the United Nations require relevant social changes that sometimes involve the development of innovative projects that cause rejection and confrontation. ...

    • Insights into distributed feature ranking 

      Bolón-Canedo, Verónica; Sechidis, Konstantinos; Sánchez-Maroño, Noelia; Alonso-Betanzos, Amparo; Brown, Gavin (Elsevier, 2019)
      [Abstract]: In an era in which the volume and complexity of datasets is continuously growing, feature selection techniques have become indispensable to extract useful information from huge amounts of data. However, existing ...

    • On the scalability of feature selection methods on high-dimensional data 

      Bolón-Canedo, Verónica; Rego-Fernández, Diego; Peteiro Barral, Diego; Alonso-Betanzos, Amparo; Guijarro-Berdiñas, Bertha; Sánchez-Maroño, Noelia (Springer, 2018)
      [Abstract]: Lately, derived from the explosion of high dimensionality, researchers in machine learning became interested not only in accuracy, but also in scalability. Although scalability of learning methods is a trending ...

    • Simulating the Role of Norms in Processes of Social Innovation: Three Case Studies 

      Jager, Wander; Guijarro-Berdiñas, Bertha; Bouman, Loes; Antosz, Patrycja; Alonso-Betanzos, Amparo; Salt, Douglas; Polhill, J. Gary; Rodríguez Arias, Alejandro; Sánchez-Maroño, Noelia (SimSoc Consortium, 2024-01)
      [Absctract]: Norms and values are critical drivers in social innovation processes, such as community projects on sustainable energy. Simulating such processes could help uncover conditions that support these social ...

    • Testing Scenarios to Achieve Workplace Sustainability Goals : Using Backcasting and Agent-Based Modeling 

      García-Mira, Ricardo; Dumitru, Adina; Alonso-Betanzos, Amparo; Sánchez-Maroño, Noelia; Fontenla-Romero, Óscar; Craig, Tony; Polhill, J. Gary (The Environmental Design Research Association, 2016-10-26)
      [Abstract] Pro-environmental behaviors have been analyzed in the home, with little attention to other important contexts of everyday life, such as the workplace. The research reported here explored three categories of ...