Recent Submissions

  • Assessing urban water demand-side management policies before their implementation: An agent-based model approach 

    Vidal Lamolla, Pol; Molinos Senante, María; Oliva Felipe, Luis Javier; Álvarez Napagao, Sergio; Cortés García, Claudio Ulises; Martínez Gomariz, Eduardo; Noriega Blanco Vigil, Pablo Cayetano; Olsson, Gustaf; Poch Espallargas, Manel (Elsevier, 2024-07-15)
    Article
    Open Access
    In the context of climate change and increasing water scarcity, adopting water demand-side management (DSM) policies has become necessary. This study advocates for utilizing agent-based modelling (ABM) as a robust simulation ...
  • Benchmarking the sim-to-real gap in cloth manipulation 

    Blanco Mulero, David; Barbany Mayor, Oriol; Alcan, Gokhan; Colomé Figueras, Adrià; Torras, Carme; Kyrki, Ville (Institute of Electrical and Electronics Engineers (IEEE), 2024-03)
    Article
    Open Access
    Realistic physics engines play a crucial role for learning to manipulate deformable objects such as garments in simulation. By doing so, researchers can circumvent challenges such as sensing the deformation of the object ...
  • 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 ...
  • Analyzing text representations by measuring task alignment 

    González Gutiérrez, César; Primadhanty, Audi; Cazzaro, Francesco; Quattoni, Ariadna Julieta (Association for Computational Linguistics, 2023)
    Conference report
    Open Access
    Textual representations based on pre-trained language models are key, especially in few-shot learning scenarios. What makes a representation good for text classification? Is it due to the geometric properties of the space ...
  • Anomaly detection in gas turbines using outlet energy analysis with cluster-based matrix profile 

    Bagherzade Ghazvini, Mina; Sànchez-Marrè, Miquel; Naderi, Davood; Angulo Bahón, Cecilio (2024-01-30)
    Article
    Open Access
    Gas turbines play a key role in generating power. It is really important that they work efficiently, safely, and reliably. However, their performance can be adversely affected by factors such as component wear, vibrations, ...
  • 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 ...
  • Applying generative models and transfer learning to physiological data classification 

    Núñez Rodríguez, José Fernando; Arjona Martínez, Jamie; Tormos Llorente, Adrián; Garcia Gasulla, Dario; Béjar Alonso, Javier (IOS Press, 2023-11-01)
    Conference report
    Open Access
    The scarcity and imbalance of datasets for training deep learning models in a specific task is a common problem. This is especially true in the physiological domain where many applications use complex data collection ...
  • 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 ...
  • Advances in the use of deep learning for the analysis of magnetic resonance image in neuro-oncology 

    Pitarch i Abaigar, Carla; Ungan, Gülnur; Julia Sape, Margarida; Vellido Alcacena, Alfredo (Multidisciplinary Digital Publishing Institute (MDPI), 2024-01-10)
    Article
    Open Access
    Machine Learning is entering a phase of maturity, but its medical applications still lag behind in terms of practical use. The field of oncological radiology (and neuro-oncology in particular) is at the forefront of these ...
  • Brealing through the traffic congestion: asynchronous time series data integration and XGBoost for accurate traffic density prediction 

    Garcia Climent, Eloi; Serrat Piè, Carles; Xhafa Xhafa, Fatos (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Conference report
    Open Access
  • Ad-RuLer: A novel rule-driven data synthesis technique for imbalanced classification 

    Zhang, Xiao; Paz Ortiz, Alejandro Iván; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco; Romero Merino, Enrique (Multidisciplinary Digital Publishing Institute, 2023-11-23)
    Article
    Open Access
    When classifiers face imbalanced class distributions, they often misclassify minority class samples, consequently diminishing the predictive performance of machine learning models. Existing oversampling techniques predominantly ...
  • GPCR molecular dynamics forecasting using recurrent neural networks 

    López Correa, Juan Manuel; König, Caroline; Vellido Alcacena, Alfredo (Springer Nature, 2023)
    Article
    Open Access
    G protein-coupled receptors (GPCRs) are a large superfamily of cell membrane proteins that play an important physiological role as transmitters of extracellular signals. Signal transmission through the cell membrane depends ...

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