Now showing items 1-10 of 10

    • AI lifecycle zero-touch orchestration within the edge-to-cloud continuum for industry 5.0 

      Alberti, Enrico; Álvarez Napagao, Sergio; Anaya, Victor; Barroso Isidoro, Marta; Barrué Subirana, Cristian; Beecks, Christian; Giménez Ábalos, Víctor; Hinjos García, Daniel; Jakubiak, Natalia; Sànchez-Marrè, Miquel (Multidisciplinary Digital Publishing Institute (MDPI), 2024-02-02)
      Article
      Open Access
      The advancements in human-centered artificial intelligence (HCAI) systems for Industry 5.0 is a new phase of industrialization that places the worker at the center of the production process and uses new technologies to ...
    • Assessing biases through visual contexts 

      Arias Duart, Anna; Giménez Ábalos, Víctor; Cortés García, Claudio Ulises; Garcia Gasulla, Dario (2023-07)
      Article
      Open Access
      Bias detection in the computer vision field is a necessary task, to achieve fair models. These biases are usually due to undesirable correlations present in the data and learned by the model. Although explainability can ...
    • Explainable agents adapt to human behaviour 

      Tormos Llorente, Adrián; Giménez Ábalos, Víctor; Domènech Vila, Marc; Gnatyshak, Dmitry; Álvarez Napagao, Sergio; Vázquez Salceda, Javier (2023)
      Conference report
      Open Access
      When integrating artificial agents into physical or digital environments that are shared with humans, agents are often equipped with opaque Machine Learning methods to enable adapting their behaviour to dynamic human needs ...
    • Explaining the behaviour of reinforcement learning agents in a multi-agent cooperative environment using policy graphs 

      Domènech Vila, Marc; Gnatyshak, Dmitry; Tormos Llorente, Adrián; Giménez Ábalos, Víctor; Álvarez Napagao, Sergio (2024-01-31)
      Article
      Open Access
      The adoption of algorithms based on Artificial Intelligence (AI) has been rapidly increasing during the last few years. However, some aspects of AI techniques are under heavy scrutiny. For instance, in many use cases, it ...
    • Feature discriminativity estimation in CNNs for transfer learning 

      Giménez Ábalos, Víctor; Vilalta Arias, Armand; Garcia Gasulla, Dario; Labarta Mancho, Jesús José; Ayguadé Parra, Eduard (IOS Press, 2019)
      Conference report
      Open Access
      The purpose of feature extraction on convolutional neural networks is to reuse deep representations learnt for a pre-trained model to solve a new, potentially unrelated problem. However, raw feature extraction from all ...
    • Focus and bias: will it blend? 

      Arias Duart, Anna; Parés Pont, Ferran; Giménez Ábalos, Víctor; Garcia Gasulla, Dario (IOS Press, 2022)
      Conference report
      Open Access
      One direct application of explainable AI feature attribution methods is to be used for detecting unwanted biases. To do so, domain experts typically have to review explained inputs, checking for the presence of unwanted ...
    • Focus! Rating XAI methods and finding biases 

      Arias Duart, Anna; Parés Pont, Ferran; Garcia Gasulla, Dario; Giménez Ábalos, Víctor (Institute of Electrical and Electronics Engineers (IEEE), 2022)
      Conference report
      Open Access
      AI explainability improves the transparency and trustworthiness of models. However, in the domain of images, where deep learning has succeeded the most, explainability is still poorly assessed. In the field of image ...
    • GOPHER, an HPC framework for large scale graph exploration and inference 

      Josep Fabregó, Marc; Teruel García, Xavier; Giménez Ábalos, Víctor; Cirilo, Davide; Garcia Gasulla, Dario; Álvarez Napagao, Sergio; Garcia Gasulla, Marta; Ayguadé Parra, Eduard; Valencia, Alfonso (Springer, 2020)
      Conference report
      Open Access
      Biological ontologies, such as the Human Phenotype Ontology (HPO) and the Gene Ontology (GO), are extensively used in biomedical research to investigate the complex relationship that exists between the phenome and the ...
    • Padding Aware Neurons 

      Garcia Gasulla, Dario; Giménez Ábalos, Víctor; Martin Torres, Pablo Agustin (Institute of Electrical and Electronics Engineers (IEEE), 2023)
      Conference report
      Open Access
      Convolutional layers are a fundamental component of most image-related models. These layers often implement by default a static padding policy (e.g. zero padding), to control the scale of the internal representations, and ...
    • Quantitative description of metal center organization and interactions in single-atom catalysts 

      Rossi, Kevin; Ruiz Ferrando, Andrea; Faust Akl, Dario; Giménez Ábalos, Víctor; Heras Domingo, Javier; Graux, Romain; Hai, Xiao; Lu, Jiong; Garcia Gasulla, Dario; López Alonso, Nuria; Pérez Ramírez, Javier; Mitchell, Sharon (2024-02-01)
      Article
      Open Access
      Ultra-high-density single-atom catalysts (UHD-SACs) present unique opportunities for harnessing cooperative effects between neighboring metal centers. However, the lack of tools to establish correlations between the density, ...