Departament d'Enginyeria de Serveis i Sistemes d'Informació

Recent Submissions

  • Kinetic facades as a solution for educational buildings: A multi-objective optimization simulation-based study 

    Yazdibahri, Seyedehsara; Alier Forment, Marc; Sánchez Riera, Alberto; Heiranipour, Milad; Hosseini, Seyedeh Nazli (Elsevier, 2025-06-01)
    Article
    Open Access
    This study investigates the effects of kinetic shading systems and their configurations in enhancing the facade performance of educational buildings through multi-objective optimization. A simulation-based approach was ...

  • Incremental checking of SQL assertions in an RDBMS 

    Oriol Hilari, Xavier; Teniente López, Ernest (Elsevier, 2025-08)
    Article
    Open Access
    The notion of SQL assertion was introduced, in SQL-92 standard, to define general constraints over a relational database. They can be used, for instance, to specify cross-row constraints or multitable check constraints. ...

  • Impact of ML optimization tactics on greener pre-trained ML models 

    González Álvarez, Alexandra; Castaño Fernández, Joel; Franch Gutiérrez, Javier; Martínez Fernández, Silverio Juan (Springer, 2025-04-02)
    Article
    Open Access
    Machine Learning (ML)-based solutions have currently surpassed human performance in tasks like image classification, visual reasoning, and English understanding. However, this advancement comes at the cost of increasing ...

  • The European master for HPC curriculum 

    Bouvry, Pascal; Brorsson, Mats; Canal Corretger, Ramon; Eftekhari, Aryan; Höfinger, Siegfried; Smets, Didier; Köstler, Harald; Kozubek, Tomáš; Krishnasamy, Ezhilmathi; Llosa Espuny, José Francisco; Lukas Rother, Alexandra; Martorell Bofill, Xavier; Pleiter, Dirk; Proykova, Ana; Sancho Samsó, María Ribera; Schenk, Olaf; Silvano, Cristina (Elsevier, 2025-07)
    Article
    Open Access
    The use of High-Performance Computing (HPC) is crucial for addressing various grand challenges. While significant investments are made in digital infrastructures that comprise HPC resources, its realisation, operation, ...

  • Evaluation of an artificial intelligence-based tool and a universal low-cost robotized microscope for the automated diagnosis of malaria 

    Rubio Maturana, Carles; Oliveira, Allisson Dantas de; Zarzuela Serrat, Francesc; Mediavilla Pérez, Alejandro; Martinez Vallejo, Patricia; Silgado Giménez, Aroa; Goterris Bonet, Lidia; Muixí Duran, Marc; Abelló Gamazo, Alberto; Veiga Lluch, Anna; López Codina, Daniel; Sulleiro Igual, Elena; Sayrol Clols, Elisa; Joseph Munné, Joan (2025-01-01)
    Article
    Open Access
    The gold standard diagnosis for malaria is the microscopic visualization of blood smears to identify Plasmodium parasites, although it is an expert-dependent technique and could trigger diagnostic errors. Artificial ...

  • Workload placement on heterogeneous CPU-GPU systems 

    Nogueira Lobo de Carvalho, Marcos; Simitsis, Alkis; Queralt Calafat, Anna; Romero Moral, Óscar (Association for Computing Machinery (ACM), 2024-08)
    Article
    Open Access
    The popularity of heterogeneous CPU-GPU processing has increased considerably in recent years. To efficiently utilize heterogeneous resources, data processing systems depend on an appropriate workload placement strategy ...

  • Capturing analytical intents from text 

    Pons Recasens, Gerard; Dimic, Miona; Bilalli, Besim (Springer, 2024)
    Conference report
    Restricted access - publisher's policy
    The ability to extract valuable information from data is crucial for organizations and individuals who want to remain competitive in a constantly evolving data-driven environment. However, some of them lack the skills ...

  • Knowledge graphs for enhancing large language models in entity disambiguation 

    Pons Recasens, Gerard; Bilalli, Besim; Queralt Calafat, Anna (Springer, 2024)
    Conference report
    Restricted access - publisher's policy
    Recent advances in Large Language Models (LLMs) have positioned them as a prominent solution for Natural Language Processing tasks. Notably, they can approach these problems in a zero or few-shot manner, thereby eliminating ...

  • Web API change-proneness prediction 

    Koçi, Rediana; Franch Gutiérrez, Javier; Jovanovic, Petar; Abelló Gamazo, Alberto (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    Change-proneness of software artifacts has been mainly related to the design characteristics and their previous history of changes. While these two aspects are essential and contribute significantly to the prediction, they ...

  • Asistentes de aprendizaje basados en inteligencia artificial: principios de seguridad y experiencias de implementación en educación superior 

    Casany Guerrero, María José; Alier Forment, Marc; Pereira Varela, Juanan; García Peñalvo, Francisco José (Editorial DYKINSON, S.L., 2024)
    Part of book or chapter of book
    Restricted access - publisher's policy
    El capítulo "Asistentes de aprendizaje basados en Inteligencia Artificial: Principios de Seguridad y Experiencias de Implementación en educación superior" analiza el uso de asistentes de aprendizaje basados en inteligencia ...

  • Environmental sustainability of machine learning systems: reducing the carbon impact of their lifecycle process 

    Martínez Fernández, Silverio Juan (Springer, 2024)
    Conference report
    Restricted access - publisher's policy
    Software-related carbon dioxide emissions from the information and communications technology sector currently account for up to 3.9% of global emissions. With the increasing use of Machine Learning (ML) systems, this ...

  • Insights on the use of software design principles in machine learning pipelines 

    López Cuesta, Lidia; Gómez Seoane, Cristina; Ayala Martínez, Claudia Patricia (Springer, 2024)
    Conference report
    Restricted access - publisher's policy
    The rapid expansion of Artificial Intelligence has driven a surge in the development of Machine Learning (ML) pipelines, essential for constructing and maintaining ML models. Despite the growing recognition of the importance ...

View more