Ara es mostren els items 1-20 de 529

    • Aplicación de metodologías activas para mejorar el aprendizaje y reducir el absentismo en el bloque de Historia de la Informática en un curso de grado 

      Casany Guerrero, María José; Alier Forment, Marc (Universidad de Granada, 2023)
      Comunicació de congrés
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      En una asignatura optativa de grado en ingeniería informática en el bloque temático de historia de la informática, se detectó una disminución de interés y atención y un aumento del absentismo en las clases entre los ...
    • Monitoring, IoT devices, and semantics 

      Vila Gómez, Marc; Sancho Samsó, María Ribera; Teniente López, Ernest (Institute of Electrical and Electronics Engineers (IEEE), 2023)
      Comunicació de congrés
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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 ...
    • Towards a modern quality framework 

      Glinz, Martin; Seyff, Norbert; Bühne, Stan; Franch Gutiérrez, Javier; Lauenroth, Kim (Institute of Electrical and Electronics Engineers (IEEE), 2023)
      Text en actes de congrés
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      Quality frameworks have been used in requirements engineering (RE) for a long time to help elicit and document quality requirements. However, existing quality frameworks have major issues that hamper their applicability, ...
    • Teaching MLOps in higher education through project-based learning 

      Lanubile, Filippo; Martínez Fernández, Silverio Juan; Quaranta, Luigi (Institute of Electrical and Electronics Engineers (IEEE), 2023)
      Text en actes de congrés
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      Building and maintaining production-grade ML-enabled components is a complex endeavor that goes beyond the current approach of academic education, focused on the optimization of ML model performance in the lab. In this ...
    • Energy efficiency of training neural network architectures: an empirical study 

      Xu, Yinlena; Martínez Fernández, Silverio Juan; Martínez Martínez, Matías-Sebastián; Franch Gutiérrez, Javier (University Of Hawaii, 2023)
      Text en actes de congrés
      Accés obert
      The evaluation of Deep Learning (DL) models has traditionally focused on criteria such as accuracy, F1 score, and related measures. The increasing availability of high computational power environments allows the creation ...
    • Mobile feature-oriented knowledge base generation using knowledge graphs 

      Motger de la Encarnación, Joaquim; Franch Gutiérrez, Javier; Marco Gómez, Jordi (Springer, 2023)
      Comunicació de congrés
      Accés restringit per política de l'editorial
      Knowledge bases are centralized repositories used for developing knowledge-oriented information systems. They are essential for adaptive, specialized knowledge in dialogue systems, supporting up-to-date domain-specific ...
    • Chatbots4Mobile: Feature-oriented knowledge base generation using natural language 

      Motger de la Encarnación, Joaquim; Franch Gutiérrez, Javier; Marco Gómez, Jordi (CEUR-WS.org, 2023)
      Text en actes de congrés
      Accés obert
      Chatbots4Mobile is a research project from the GESSI research group (UPC-BarcelonaTech) which aims at designing and developing a task oriented, knowledge based conversational agent to support mobile users in the process ...
    • Wrapper methods for multi-objective feature selection 

      Njoku, Uchechukwu Fortune; Abelló Gamazo, Alberto; Bilalli, Besim; Bontempi, Gianluca (OpenProceedings, 2023)
      Text en actes de congrés
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      The ongoing data boom has democratized the use of data for improved decision-making. Beyond gathering voluminous data, preprocessing the data is crucial to ensure that their most rele- vant aspects are considered during ...
    • Usos y desusos del modelo GPT-3 entre estudiantes de grados de ingeniería 

      Amo Filvà, Daniel; Fonseca Escudero, David; Vernet Bellet, David; Torres Gómez, Eduard de; Muñoz Pastor, Pol; Caballero Codina, Víctor; Fernández Alonso, Eduard; Alier Forment, Marc; García Peñalvo, Francisco José; Garcia Holgado, Alicia; Llorens Largo, Faraón; Molina Carmona, Rafael; Conde González, Miguel Ángel; Hernández García, Ángel (Universidad de Granada, 2023)
      Comunicació de congrés
      Accés obert
      La herramienta ChatGPT, basada en el modelo GPT-3 desarrollado por OpenAI, ya se utiliza por estudiantes de grados de ingeniería como herramienta de apoyo en su proceso de aprendizaje. En este contexto, las implicaciones ...
    • Modeling context-aware events and responses in an IoT environment 

      Vila Gómez, Marc; Sancho Samsó, María Ribera; Teniente López, Ernest (Springer, 2023)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      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 ...
    • Do DL models and training environments have an impact on energy consumption? 

      Rey Juárez, Santiago del; Martínez Fernández, Silverio Juan; Cruz, Luís; Franch Gutiérrez, Javier (Institute of Electrical and Electronics Engineers (IEEE), 2023)
      Text en actes de congrés
      Accés obert
      Current research in the computer vision field mainly focuses on improving Deep Learning (DL) correctness and inference time performance. However, there is still little work on the huge carbon footprint that has training ...
    • Gender equality in information technology processes: a systematic mapping study 

      Patón Romero, J. David; Block, Sunniva; Ayala Martínez, Claudia Patricia; Jaccheri, Letizia (Springer, 2023)
      Text en actes de congrés
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      Information Technology (IT) plays a key role in the world we live in. As such, its relation to the 17 Sustainable Development Goals (SDGs) stated by the United Nations to improve lives and health of the people and the ...
    • Towards green AI-based software systems: an architecture-centric approach (GAISSA) 

      Martínez Fernández, Silverio Juan; Franch Gutiérrez, Javier; Durán López, Francisco Javier (Institute of Electrical and Electronics Engineers (IEEE), 2023)
      Text en actes de congrés
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      Nowadays, AI-based systems have achieved out-standing results and have outperformed humans in different domains. However, the processes of training AI models and inferring from them require high computational resources, ...
    • 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 ...
    • Exploring the carbon footprint of Hugging Face's ML models: a repository mining study 

      Castaño Fernández, Joel; Martínez Fernández, Silverio Juan; Franch Gutiérrez, Javier; Bogner, Justus (Institute of Electrical and Electronics Engineers (IEEE), 2023)
      Text en actes de congrés
      Accés obert
      Background: The rise of machine learning (ML) systems has exacerbated their carbon footprint due to increased capabilities and model sizes. However, there is scarce knowledge on how the carbon footprint of ML models is ...
    • TransFeatEx: a NLP pipeline for feature extraction 

      Gallego Marfa, Agustí; Motger de la Encarnación, Joaquim; Franch Gutiérrez, Javier; Marco Gómez, Jordi (CEUR-WS.org, 2023)
      Comunicació de congrés
      Accés obert
      Mobile app stores provide centralized access to a large data set of mobile app related natural language textual data, including developer’s documentation (e.g., descriptions, changelogs) and user-generated data (e.g., user ...
    • Metrics for code smells of ML pipelines 

      Costal Costa, Dolors; Gómez Seoane, Cristina; Martínez Fernández, Silverio Juan (Springer, 2023)
      Comunicació de congrés
      Accés restringit per política de l'editorial
      ML pipelines, as key components of ML systems, shall be developed following quality assurance techniques. Unfortunately, it is often the case in which they present maintainability issues, due to the experimentatal nature ...
    • Insights from using goal models for teaching data structures 

      Ruiz, Marcela; Franch Gutiérrez, Javier (CEUR-WS.org, 2023)
      Text en actes de congrés
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      Previous research has shown the feasibility of using goal models as a notation to describe data structures. Such results motivated further empirical research to elucidate the extent to which teaching data structures using ...
    • Supporting students in team-based software development projects: an exploratory study 

      Farré Tost, Carles; Franch Gutiérrez, Javier; Oriol Hilari, Marc; Volkova Volkova, Alexandra (Springer, 2023)
      Comunicació de congrés
      Accés restringit per política de l'editorial
      Team-based software development projects (TBSDP) are a useful instrument to expose students to teamwork in an industry-like working context. However, TBSDP exposes students to a number of challenges. This paper has a twofold ...
    • Adaptive task-oriented chatbots using feature-based knowledge bases 

      Campàs Gené, Carla; Motger de la Encarnación, Joaquim; Franch Gutiérrez, Javier; Marco Gómez, Jordi (Springer, 2023)
      Comunicació de congrés
      Accés restringit per política de l'editorial
      Task-oriented chatbots relying on a knowledge base for domain-specific content exploitation have been largely addressed in research and industry applications. Despite this, multiple challenges remain to be fully conquered, ...