• A novel framework for generic Spark workload characterization and similar pattern recognition using machine learning 

  Garralda-Barrio, Mariano; Eiras-Franco, Carlos; Bolón-Canedo, Verónica (Elsevier, 2024-07)

  [Abstract]: Comprehensive workload characterization plays a pivotal role in comprehending Spark applications, as it enables the analysis of diverse aspects and behaviors. This understanding is indispensable for devising ...

• Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated? 

  Novoa-Paradela, David; Fontenla-Romero, Óscar; Guijarro-Berdiñas, Bertha (2024-07)

  In the current landscape, user opinions exert an unprecedented influence on the trajectory of companies. In the field of online review platforms, these opinions, transmitted through text reviews and numerical ratings, ...

• 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 ...

• 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 ...

• A scalable decision-tree-based method to explain interactions in dyadic data 

  Eiras-Franco, Carlos; Guijarro-Berdiñas, Bertha; Alonso-Betanzos, Amparo; Bahamonde, Antonio (Elsevier, 2019-12)

  [Abstract]: Gaining relevant insight from a dyadic dataset, which describes interactions between two entities, is an open problem that has sparked the interest of researchers and industry data scientists alike. However, ...

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