Ponències/Comunicacions de congressos: Enviaments recents

Ara es mostren els items 1-12 de 57

    • 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 ...

    • 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, ...

    • 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 ...

    • 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 ...

    • 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
      Accés obert
      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 ...

    • Animation fidelity in self-avatars: impact on user performance and sense of agency 

      Yun, Haoran; Pontón Martínez, José Luis; Andújar Gran, Carlos Antonio; Pelechano Gómez, Núria (Institute of Electrical and Electronics Engineers (IEEE), 2023)
      Text en actes de congrés
      Accés obert
      The use of self-avatars is gaining popularity thanks to affordable VR headsets. Unfortunately, mainstream VR devices often use a small number of trackers and provide low-accuracy animations. Previous studies have shown ...

    • 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 ...

    • 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 ...

    • Wrapper methods for multi-objective feature selection 

      Njoku, Uchechukwu Fortune; Abelló Gamazo, Alberto; Bilalli, Besim; Bontempi, Gianluca (OpenProceedings, 2023)
      Text en actes de congrés
      Accés obert
      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 ...

    • Visual analysis of multi-labelled temporal noise data from multiple sensors 

      Franco Moreno, Juan José; Vázquez Alcocer, Pere Pau (SciTePress, 2023)
      Text en actes de congrés
      Accés obert
      Environmental noise pollution is a problem for cities’ inhabitants, that can be especially severe in large cities. To implement measures that can alleviate this problem, it is necessary to understand the extent and impact ...

    • Towards and efficient algorithm for computing the reduced mutual information 

      Renedo Mirambell, Martí; Arratia Quesada, Argimiro Alejandro (IOS Press, 2022)
      Comunicació de congrés
      Accés obert
      Newman et al. introduced the Reduced Mutual Information (RMI), a measure of the similarity between two partitions of a set useful in clustering and community detection. The computation of RMI requires counting the amount ...

    • The assessment of clustering on weighted network with R package clustAnalytics 

      Arratia Quesada, Argimiro Alejandro; Renedo Mirambell, Martí (IOS Press, 2022)
      Comunicació de congrés
      Accés obert
      We present clustAnalytics, an R package available now on CRAN, which provides methods to validate the results of clustering algorithms on unweighted and weighted networks, particularly for the cases where the existence of ...