Recent Submissions

  • Experience replay and zero-shot clustering for continual learning in diabetic retinopathy detection 

    Bravo Rocca, Gusseppe Jesus; Liu, Peini; Guitart Fernández, Jordi; Dholakia, Ajay; Ellison, David; Carrillo Larco, Rodrigo M. (SciTePress, 2025)
    Conference lecture
    Open Access
    We present an approach to mitigate catastrophic forgetting in Continual Learning (CL), focusing on domain incremental scenarios in medical imaging. Our method leverages Large Language Models (LLMs) to generate task-agnostic ...
  • Context matters: contextual value-based deliberation in water consumption scenarios 

    Oliva Felipe, Luis Javier; Lobo, Inês; Mckinlay, Jack; Dignum, Frank; de Vos, Marina; Cortés García, Claudio Ulises; Cortés Martínez, Atia (Springer, 2024)
    Conference report
    Restricted access - publisher's policy
    Values and context are important in an agent’s decision-making process. Individuals may prioritise values differently, and changing context can also necessitate different considerations. In this paper, we use Schwartz’s ...
  • On the deployment of an AI-driven power control mechanism for D-MIMO in beyond 5G scenarios 

    Pérez Romero, Jordi; Tuna, Ömer Faruk; Sallent Roig, Oriol; Bartzoudis, Nikolaos; Kartsakli, Elli; Kolawole, Oluwatayo; Vilà Muñoz, Irene; Serrano, Maria A.; Gülen, Utku (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference lecture
    Open Access
    The evolution beyond the Fifth Generation (5G) of mobile communications systems is expected to exploit different advanced radio access techniques, such as distributed multiple input multiple output (D-MIMO), together with ...
  • Reinforcement learning-based adaptive mitigation of uncorrected DRAM errors in the field 

    Boixaderas Coderch, Isaac; Moré Codina, Sergi; Bartolomé Rodríguez, Javier; Vicente Dorca, David; Radojkovic, Petar; Carpenter, Paul Matthew; Ayguadé Parra, Eduard (Association for Computing Machinery (ACM), 2024)
    Conference report
    Open Access
    Scaling to larger systems, with current levels of reliability, requires cost-effective methods to mitigate hardware failures. One of the main causes of hardware failure is an uncorrected error in memory, which terminates ...
  • Dexter: a performance-cost efficient resource allocation manager for serverless data analytics 

    Nestorov, Anna Maria; Marrón Vida, Diego; Gutiérrez Torre, Alberto; Wang, Chen; Misale, Claudia; Youssef, Alaa; Carrera Pérez, David; Berral García, Josep Lluís (Association for Computing Machinery (ACM), 2024)
    Conference report
    Open Access
    Leveraging serverless platforms for the efficient execution of distributed data analytics frameworks, such as Apache Spark [ 3], has gained substantial interest since early 2022. The elasticity, free-of-management, and ...
  • Data-Connector: an agent-based framework for autonomous ML-based smart management in cloud-edge continuum 

    Liu, Peini; Oliveras Torra, Joan; Palacín Marfil, Marc; Guitart Fernández, Jordi; Berral García, Josep Lluís; Nou Castell, Ramon (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference lecture
    Open Access
    Machine Learning (ML) is becoming pervasive and integrated into different kinds of intelligent applications, and the collaborative Cloud-Edge continuum has been introduced as an emerging trend to support their adoption ...
  • BerryBees: Breadth first search by bit-tensor-cores 

    Niu, Yuyao; Casas, Marc (Association for Computing Machinery (ACM), 2025)
    Conference report
    Open Access
    Breadth First Search (BFS) plays a key role in computational science, networking, and artificial intelligence applications. Although the BFS approach has been extensively studied, particularly in its direction-optimized ...
  • Event monitor validation in high-integrity systems 

    Pujol Torramorell, Roger; Vilardell Moreno, Sergi; Mezzetti, Enrico; Hassan, Mohamed; Abella Ferrer, Jaume; Cazorla Almeida, Francisco Javier (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    Platforms for modern embedded systems equip an increasing number of high-performance features to provide the required levels of performance. Timing analysis solutions handle the complexity of these platforms by relying on ...
  • Towards studying the effect of compiler optimizations and software randomization on GPU reliability 

    López Castillón, Pau; Caricchio Hernández, Xavier; Kosmidis, Leonidas (Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2025)
    Conference report
    Open Access
    The evolution of Graphics Processing Unit (GPU) compilers has facilitated the support for general-purpose programming languages across various architectures. The NVIDIA CUDA Compiler (NVCC) employs multiple compilation ...
  • A mess of memory system benchmarking, simulation and application profiling 

    Esmaili Dokht, Pouya; Sgherzi, Francesco; Soldera Girelli, Valéria; Boixaderas Coderch, Isaac; Carmin, Mariana; Monemi, Alireza; Armejach Sanosa, Adrià; Mercadal Melia, Estanislao; Llort Sánchez, Germán; Radojkovic, Petar; Moretó Planas, Miquel; Giménez Lucas, Judit; Martorell Bofill, Xavier; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Confalonieri, Emanuele; Dubey, Rishabh; Adlard, Jason (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    The Memory stress (Mess) framework provides a unified view of the memory system benchmarking, simulation and application profiling. The Mess benchmark provides a holistic and detailed memory system characterization. It is ...
  • Proton evaluation of single event effects in the NVIDIA GPU Orin SoM: Understanding radiation vulnerabilities beyond the SoC 

    Rodríguez Ferrández, Iván; Kosmidis, Leonidas; Tali, Maris; Steenari, David; Hands, Alex; Belanger-Champagne, Camille (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    In this paper, we investigate the single event effects under proton irradiation for the state-of-the-art embedded GPU NVIDIA Jetson Orin NX System-on-Module (SoM). Designed for deployment across safety critical domains and ...
  • 3D decision support tool for brain tumour surgery: the STRATUM Project 

    Fabelo Gómez, Himar; León Martín, Raquel; Torti, Emanuele; Marco Sola, Santiago; Verbers, Max; Falevoz, Yann; Ramallo Fariña, Yolanda; Weis, Christian; Cervero García, Teresa; Moretó Planas, Miquel (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    Integrated digital diagnostics can support complex surgical procedures in many anatomical sites, brain tumour surgery being the most complex. STRATUM is a 5-year Horizon Europe funded project with the goal of developing ...

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