Departament d'Enginyeria de Serveis i Sistemes d'Informació
Collections in this community
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Articles de revista [245]
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Capítols de llibre [30]
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Dataset [1]
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Reports de recerca [154]
Recent Submissions
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Kinetic facades as a solution for educational buildings: A multi-objective optimization simulation-based study
(Elsevier, 2025-06-01)
Article
Open AccessThis 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
(Elsevier, 2025-08)
Article
Open AccessThe 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
(Springer, 2025-04-02)
Article
Open AccessMachine 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
(Elsevier, 2025-07)
Article
Open AccessThe 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
(2025-01-01)
Article
Open AccessThe 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
(Association for Computing Machinery (ACM), 2024-08)
Article
Open AccessThe 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
(Springer, 2024)
Conference report
Restricted access - publisher's policyThe 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
(Springer, 2024)
Conference report
Restricted access - publisher's policyRecent 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
(Institute of Electrical and Electronics Engineers (IEEE), 2024)
Conference report
Open AccessChange-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
(Editorial DYKINSON, S.L., 2024)
Part of book or chapter of book
Restricted access - publisher's policyEl 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
(Springer, 2024)
Conference report
Restricted access - publisher's policySoftware-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
(Springer, 2024)
Conference report
Restricted access - publisher's policyThe 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 ...