• 

  Policy graphs and intention: answering 'why' and 'how' from a telic perspective 

  Giménez Ábalos, Víctor; Álvarez Napagao, Sergio; Tormos Llorente, Adrian; Cortés García, Claudio Ulises; Vázquez Salceda, Javier (International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2025)
  Conference report
  Open Access

  Agents are a special kind of AI-based software in that they interact in complex environments and have increased potential for emergent behaviour. Explaining such behaviour is key to deploying trustworthy AI, but the ...
• 

  Morphological symmetries in robotics 

  Ordoñez Apraez, Daniel Felipe; Turrisi, Giulio; Kostic, Vladimir; Martín Muñoz, Mario; Agudo Martínez, Antonio; Moreno-Noguer, Francesc; Pontil, Massimiliano; Semini, Claudio; Mastalli, Carlos (2025-01-10)
  Article
  Open Access

  We present a comprehensive framework for studying and leveraging morphological symmetries in robotic systems. These are intrinsic properties of the robot’s morphology, frequently observed in animal biology and robotics, ...
• 

  MPACT: Mesoscopic profiling and abstraction of crowd trajectories 

  Lemonari, Marilena; Panayiotou, Andreas; Kyriakou, Theodoros; Pelechano Gómez, Núria; Chrysanthou, Yiorgos; Aristidou, Andreas; Charalambous, Panayiotis (John Wiley & sons, 2025-01-01)
  Article
  Open Access

  Simulating believable crowds for applications like movies or games is challenging due to the many components that comprise a realistic outcome. Users typically need to manually tune a large number of simulation parameters ...
• 

  SoftBinReduce: data reduction for color quantization through soft binning 

  Rodríguez i Corominas, Guillem; Blesa Aguilera, Maria Josep; Blum, Christian Clemens (2025-04-16)
  Article
  Open Access

  In this paper, we propose SoftBinReduce, a data reduction method for Color Quantization. Our approach consists of four main steps: (1) identifying representatives in each channel, (2) generating three-dimensional bins, (3) ...
• 

  Simplifying deep temporal difference learning 

  Gallici, Matteo; Fellows, Mattie; Ellis, Benjamin; Pou Mulet, Bartomeu; Masmitja Rusiñol, Ivan; Foerster, Jakob Nicolaus; Martín Muñoz, Mario (OpenReview.net, 2025)
  Conference report
  Open Access

  Q-learning played a foundational role in the field reinforcement learning (RL). However, TD algorithms with off-policy data, such as -learning, or nonlinear function approximation like deep neural networks require several ...
• 

  Can personality traits affect sleep quality in post-COVID-19 patients? 

  Carnes Vendrell, Anna; Piñol Ripoll, Gerard; Ariza González, Mar; Cano Marco, Neus; Segura Fàbregas, Bàrbara; Junqué Plaja, Carme; Béjar Alonso, Javier; Barrué Subirana, Cristian; Garolera Freixa, Maite (Multidisciplinary Digital Publishing Institute (MDPI), 2025-04-23)
  Article
  Open Access

  Objectives: In the present study, we aimed (i) to describe the personality traits of a cohort of post-COVID-19 condition (PCC) patients compared with a healthy control (HC) group, (ii) to evaluate the relationship between ...
• 

  How to represent landmark trees in digital 3D maps? An automated workflow and user study 

  Grammatikaki, Angeliki; Eschner, Johannes; Ledermann, Florian; Argudo Medrano, Óscar; Waldner, Manuela (2025-05-09)
  Article
  Open Access

  Digital 3D maps created from digital elevation models (DEMs) cannot properly capture trees due to the 2.5D nature of the DEMs. Leveraging publicly available DEMs and orthophotos as the only input data sources, we present ...
• 

  A minimal base or a direct base? That is the question! 

  Baixeries i Juvillà, Jaume; Napoli, Amedeo (2025-11)
  Article
  Open Access

  In this paper we revisit the problem of computing the closure of a set of attributes given a basis of dependencies or implications. This problem is of main interest in logics, in the relational database model, in lattice ...
• 

  STRATUM project: AI-based point of care computing for neurosurgical 3D decision support tools 

  Fabelo Gómez, Himar; León Martín, Raquel; Torti, Emanuele; Marco Sola, Santiago; Badouh, Asaf; Verbers, Max; Vega García, Carlos; Santana Nuñez, Javier; Cervero García, Teresa; Moretó Planas, Miquel (Elsevier, 2025-07)
  Article
  Open Access

  Integrated digital diagnostics are transforming complex surgical procedures, with brain tumour surgery being among the most challenging. STRATUM, a five-year Horizon Europe-funded project, aims to develop an advanced 3D ...
• 

  Metacognitive training for psychosis (MCT): a systematic meta-review of its effectiveness 

  Meinhart, Antonia; Sauvé, Geneviève; Schmueser, Annika; Penney, Danielle; Berna, Fabrice; Gaweda, Lukasz; Lamarca, María; Moritz, Steffen; Ochoa, Susana; König, Caroline; Acuña, Vanessa; Fischer, Rabea (Nature, 2025-04-22)
  Article
  Open Access

  Objective Metacognitive training for psychosis (MCT) targets cognitive biases implicated in the pathogenesis of psychosis, e.g., jumping to conclusions, overconfidence in errors, and inflexibility. This systematic meta-review ...
• 

  Terrain descriptors for landscape synthesis, analysis and simulation 

  Argudo Medrano, Óscar; Guerin, Eric; Schott, Hugo; Galin, Eric (John Wiley & sons, 2025-04-15)
  Article
  Open Access

  Synthetic landscape generation is an active research area within Computer Graphics. Algorithms for terrain synthesis and ecosystem simulations often rely on simple descriptors such as slope, light accessibility, and drainage ...
• 

  Accelerating the k-Means++ algorithm by using geometric information 

  Rodríguez i Corominas, Guillem; Blesa Aguilera, Maria Josep; Blum, Christian (Institute of Electrical and Electronics Engineers (IEEE), 2025-04-16)
  Article
  Open Access

  Clustering is a fundamental task in data analysis with applications across a wide range of fields, such as computer vision, pattern recognition, and data mining. Real-world use cases include social network analysis, medical ...

View more