Ara es mostren els items 1-12 de 99

    • Applying generative models and transfer learning to physiological data classification 

      Núñez Rodríguez, José Fernando; Arjona Martínez, Jamie; Tormos Llorente, Adrián; Garcia Gasulla, Dario; Béjar Alonso, Javier (IOS Press, 2023-11-01)
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      The scarcity and imbalance of datasets for training deep learning models in a specific task is a common problem. This is especially true in the physiological domain where many applications use complex data collection ...
    • Brealing through the traffic congestion: asynchronous time series data integration and XGBoost for accurate traffic density prediction 

      Garcia Climent, Eloi; Serrat Piè, Carles; Xhafa Xhafa, Fatos (Institute of Electrical and Electronics Engineers (IEEE), 2023)
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    • La experiencia internacional de un centro universitario de informática: análisis y reflexión 

      Abad Soriano, María Teresa; Castell Ariño, Núria; Pastor Collado, Juan Antonio (2023)
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      La internacionalización de las instituciones de educación superior es un tema recurrente en sus planes estratégicos. La implementación de esos planes depende, entre otros, de la legislación vigente, de la organización ...
    • La experiencia internacional de un centro universitario de informática: análisis y reflexión 

      Abad Soriano, María Teresa; Castell Ariño, Núria; Pastor Collado, Juan Antonio (Universidad de Granada, 2023)
      Text en actes de congrés
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      La internacionalización de las instituciones de educación superior es un tema recurrente en sus planes estratégicos. La implementación de esos planes depende, entre otros, de la legislación vigente, de la organización ...
    • An approach based on simulation and optimization to integrate ride-pooling with public transport for a cooperative approach 

      Lorente García, Ester; Barceló Bugeda, Jaime; Codina Sancho, Esteve; Noëkel, Klaus (2023)
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      Mobility as a Service (MaaS), appeared as a tool to provide more efficient solutions in large urban areas, but, it hasn’t always been the case. The International Union of Public Transport (UITP) and the International ...
    • Modeling context-aware events and responses in an IoT environment 

      Vila Gómez, Marc; Sancho Samsó, María Ribera; Teniente López, Ernest (Springer, 2023)
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      The Internet of Things (IoT) involves the use of devices that exchange information about the state of things in the real world. In IoT, monitoring is regarded to be the most fully researched use case. However, research on ...
    • Monitoring, IoT devices, and semantics 

      Vila Gómez, Marc; Sancho Samsó, María Ribera; Teniente López, Ernest (Institute of Electrical and Electronics Engineers (IEEE), 2023)
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      Efforts to improve Internet of Things (IoT) device interoperability for monitoring are still required. This demo paper proposes monitoring infrastructure safety and security with the use of semantics. We make use of an ...
    • An heuristic algorithm for dynamic network loading 

      Codina Sancho, Esteve; Barceló Bugeda, Jaime (International Federation of Automatic Control (IFAC), 1997)
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      This paper describes an heuristic procedure for the problem of determining the time evolution of traffic flows and routes on a road net work with the key requirement that its computational costs must be appealing so as to ...
    • Evaluation of subgradients for the primal gap of variational inequalities and an application to the demand adjustment problem 

      Codina Sancho, Esteve; Montero Mercadé, Lídia (Association of European Operational Research Societies (EURO), 2003)
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      In this paper the use of primal gap functions for variational inequalities for solving bilevel programming problems with equilibrium constraints is addressed. First a sufficient condition is presented so that the Clarke’s ...
    • Federated learning with exponentially weighted moving average for real-time emotion classification 

      Arijit, Nandi; Xhafa Xhafa, Fatos; Subirats Maté, Laia; Fort, Santiago (Springer, 2022)
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      Federated learning (FL) allows to develop a powerful shared prediction model while preserving the users' privacy by keeping the data local. In particular it is a useful framework to use resource-constrained edge computing ...
    • Lightning talks of EduHPC 2022 

      Qasem, Apan; Anzt, Hartwig; Ayguadé Parra, Eduard; Cahil, Katharine; Canal Corretger, Ramon; Chan, Jany; Fosler-Lussier, Eric; Llosa Espuny, José Francisco; Martorell Bofill, Xavier; Sancho Samsó, María Ribera (Institute of Electrical and Electronics Engineers (IEEE), 2022)
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      The lightning talks at EduHPC provide an opportunity to share early results and insights on parallel and distributed computing (PDC) education and training efforts. The four lightning talks at EduHPC 2022 cover a range of ...
    • Provenance and dynamic consents for the management of medical data 

      Delgado Mercè, Jaime; Llorente Viejo, Silvia (IOS Press, 2022)
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      Medical data describe patient health information, both in healthy and disease conditions. In any case, health institutions need to ask for patient consent in order to provide their services. Patients usually give consent ...