• General policies, representations, and planning width

  Bonet, Blai; Geffner, Héctor (Association for the Advancement of Artificial Intelligence (AAAI), 2021)

  It has been observed that in many of the benchmark planning domains, atomic goals can be reached with a simple polynomial exploration procedure, called IW, that runs in time exponential in the problem width. Such problems ...
• How to handle health-related small imbalanced data in machine learning?

  Rauschenberger, Maria; Baeza Yates, Ricardo (De Gruyter, 2020)

  When discussing interpretable machine learning results, researchers need to compare them and check for reliability, especially for health-related data. The reason is the negative impact of wrong results on a person, such ...
• Using transition learning to enhance mobile-controlled handover in decentralized future networks

  Platt, Steven; Demirel, Berkay; Oliver Riera, Miquel (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  Traditionally, resource management and capacity allocation has been controlled network-side in cellular deployment. As autonomicity has been added to network design, machine learning technologies have largely followed this ...
• On the deployment problem in cell-free networks

  Diaz-Vilor, Carles; Lozano Solsona, Angel; Jafarkhani, Hamid (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  Cell-free (CF) structures are expected to be a game changer for beyond-5G wireless networks. With every user potentially communicating with every base station, cooperation at a central processing point is poised to provide ...
• Spatial-wideband effect in line-of-sight MIMO communication

  Mojahedian, Mohammad Mahdi; Attarifar, Masoud; Lozano Solsona, Angel (Institute of Electrical and Electronics Engineers (IEEE), 2022)

  This paper addresses the spatial-wideband effect in line-of-sight multiple-input multiple-output channels. This effect arises once the bandwidth is large enough that the differences in propagation delays for distinct ...
• 1-bit MIMO for terahertz channels

  Lozano Solsona, Angel (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  This paper tackles the problem of multiple-input multiple-output communication with 1-bit digital-to-analog and analog-to-digital converters. With the information-theoretic capacity as benchmark, the complementary strategies ...
• The creative drummer: an eeg-based pilot study on the correlates of emotions and creative drum playing

  Ramírez, Rafael,1966-; Reija, Xavier (MDPI, 2023)

  It is reasonable to assume that emotional processes are involved in creative tasks and the generation of creative ideas. In this pilot study, we investigate the emotional correlates in professional drummers during different ...
• Challenging social media threats using collective well-being-aware recommendation algorithms and an educational virtual companion

  Ognibene, Dimitri; Wilkens, Rodrigo; Taibi, Davide; Hernández Leo, Davinia; Kruschwitz, Udo; Donabauer, Gregor; Theophilou, Emily; Lomonaco, Francesco; Bursic, Sathya; Lobo, René; Sánchez Reina, Jesús Roberto; Scifo, Lidia; Schwarze, Veronica; Börsting, Johanna; Hoppe, Ulrich; Aprin, Farbod; Malzahn, Nils; Eimler, Sabrina (Frontiers, 2023)

  Social media have become an integral part of our lives, expanding our interlinking capabilities to new levels. There is plenty to be said about their positive effects. On the other hand, however, some serious negative ...
• MITEA: a dataset for machine learning segmentation of the left ventricle in 3D echocardiography using subject-specific labels from cardiac magnetic resonance imaging

  Zhao, Debbie; Ferdian, Edward; Maso Talou, Gonzalo Daniel; Quill, Gina M.; Gilbert, Kathleen; Wang, Vicky Y.; Babarenda Gamage, Thiranja Prasad; Pedrosa, João; D’hooge, Jan; Sutton, Timothy M.; Lowe, Boris S.; Legget, Malcolm E.; Ruygrok, Peter N.; Doughty, Robert N.; Camara, Oscar; Young, Alistair A.; Nash, Martyn P. (Frontiers, 2023)

  Segmentation of the left ventricle (LV) in echocardiography is an important task for the quantification of volume and mass in heart disease. Continuing advances in echocardiography have extended imaging capabilities into ...
• Domain expert evaluation of advanced visual computing solutions and 3D printing for the planning of the left atrial appendage occluder interventions

  Mill, Jordi; Montoliu, Helena; Moustafa, Abdel-Hakim; Olivares, Andy L.; Albors, Carlos; Aguado, Ainhoa M.; Medina, Elodie; Ceresa, Mario; Freixa, Xavier; Arzamendi, Dabit; Cochet, Hubert; Camara, Oscar (Whioce, 2023)

  Advanced visual computing solutions and three-dimensional (3D) printing are moving from engineering to clinical pipelines for training, planning, and guidance of complex interventions. 3D imaging and rendering, virtual ...
• Satisfacción corporal y uso de pantallas en escolares españoles

  Sánchez Reina, Jesús Roberto; Jiménez-Morales, Mònika; Montaña-Blasco, Mireia (Universitat d'Alacant, 2023)

  El uso de pantallas entre los menores ha aumentado drásticamente en los últimos años. Aunque el consumo mediático es considerado un factor influyente en la satisfacción corporal infantil, la relación entre el consumo de ...
• Assessing the coupling between local neural activity and global connectivity fluctuations: application to human intracranial electroencephalography during a cognitive task

  Vila-Vidal, Manel, 1991-; Khawaja, Mariam; Carreño, Mar; Roldán, Pedro; Rumià, Jordi; Donaire, Antonio; Deco, Gustavo; Tauste Campo, Adrià, 1982- (Wiley, 2023)

  Cognitive-relevant information is processed by different brain areas that cooperate to eventually produce a response. The relationship between local activity and global brain states during such processes, however, remains ...
• Toward naturalistic neuroscience: Mechanisms underlying the flattening of brain hierarchy in movie-watching compared to rest and task

  Kringelbach, Morten L.; Sanz Perl, Yonatan; Tagliazucchi, Enzo; Deco, Gustavo (American Association for the Advancement of Science (AAAS), 2023)

  Identifying the functional specialization of the brain has moved from using cognitive tasks and resting state to using ecological relevant, naturalistic movies. We leveraged a large-scale neuroimaging dataset to directly ...
• Lung function in young adults born small for gestational age at term

  Vellvé, Kilian; Sepúlveda-Martínez, Álvaro; Rodríguez López, Mérida; Crovetto, Francesca; Bernardino, Gabriel; Burgos, Felip; Faner, Rosa; Agustí, Àlvar; Bijnens, Bart; Gratacós Solsona, Eduard; Crispi, Fàtima; Blanco, Isabel (Wiley, 2023)

  Moderate to extreme prematurity is associated with lower lung function in adults1 while evidence is poorer and controversial for late prematurity.2 Likewise, the potential long-term impact on adult lung function of being ...
• Distributed harmonic patterns of structure-function dependence orchestrate human consciousness

  Luppi, Andrea I.; Vohryzek, Jakub; Kringelbach, Morten L.; Martinez Mediano, Pedro Antonio; Adapa, Ram; Carhart-Harris, Robin L.; Roseman, Leor; Pappas, Ioannis; Peattie, Alexander R. D.; Manktelow, Anne E.; Sahakian, Barbara J.; Finoia, Paola; Williams, Guy B.; Allanson, Judith; Pickard, John D.; Menon, David K.; Atasoy, Selen; Stamatakis, Emmanuel A. (Nature Research, 2023)

  A central question in neuroscience is how consciousness arises from the dynamic interplay of brain structure and function. Here we decompose functional MRI signals from pathological and pharmacologically-induced perturbations ...
• Towards assisted electrocardiogram interpretation using an AI-enabled Augmented Reality headset

  Lampreave, Paula; Jimenez-Perez, Guillermo; Sanz-Pérez, Isidro; Gomez, Alberto; Camara, Oscar (Taylor & Francis, 2021)

  The interpretation of electrocardiograms (ECGs) is key for the diagnosis and monitoring of cardiovascular health. Despite the progressive digital transformation in healthcare, it is still common for clinicians to analyse ...
• Network-based modelling of mechano-inflammatory chondrocyte regulation in early osteoarthritis

  Segarra-Queralt, Maria; Piella Fenoy, Gemma; Noailly, Jérôme (Frontiers, 2023)

  Osteoarthritis (OA) is a debilitating joint disease characterized by articular cartilage degradation, inflammation and pain. An extensive range of in vivo and in vitro studies evidences that mechanical loads induce changes ...
• A deep-learning based framework for source separation, analysis, and synthesis of choral ensembles

  Chandna, Pritish; Cuesta, Helena; Petermann, Darius; Gómez Gutiérrez, Emilia, 1975- (Frontiers, 2022)

  Choral singing in the soprano, alto, tenor and bass (SATB) format is a widely practiced and studied art form with significant cultural importance. Despite the popularity of the choral setting, it has received little attention ...
• Iconicity in sign language production: task matters

  Gimeno-Martínez, Marc; Baus, Cristina (Elsevier, 2022)

  The present study explored the influence of iconicity on sign lexical retrieval and whether it is modulated by the task at hand. Lexical frequency was also manipulated to have an index of lexical processing during sign ...
• Interactive VPL-based global illumination on the GPU using fuzzy clustering

  Colom, Arnau; Marques, Ricardo; Santos, Luís Paulo (Elsevier, 2022)

  Physically-based synthesis of high quality imagery, including global illumination light transport phenomena, results in a significant workload, which makes interactive rendering a very challenging task. We propose a VPL-based ...

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