Enviaments recents

  • Generative artificial intelligence in education: from deceptive to disruptive 

    Alier Forment, Marc; García Peñalvo, Francisco José; Camba, Jorge D. (2024-03)
    Article
    Accés obert
    Generative Artificial Intelligence (GenAI) has emerged as a promising technology that can create original content, such as text, images, and sound. The use of GenAI in educational settings is becoming increasingly popular ...
  • Case studies about moral dilemas to apply ethical theories in engineering education 

    Casany Guerrero, María José; Alier Forment, Marc (Institute of Electrical and Electronics Engineers (IEEE), 2024-02-22)
    Article
    Accés obert
    The significance of incorporating ethics education in engineering programs has grown considerably in recent times, especially within domains such as computer science, software engineering, data science, and artificial ...
  • iMAGING: a novel automated system for malaria diagnosis by using artificial intelligence tools and a universal low-cost robotized microscope 

    Rubio Maturana, Carles; Oliveira, Allisson Dantas de; Nadal Francesch, Sergi; Zarzuela Serrat, Francesc; Sulleiro Igual, Elena; Ruiz Marti, Edurne; Bilalli, Besim; Veiga Lluch, Anna; Espasa Soley, Mateu; Abelló Gamazo, Alberto; Pumarola Sunyer, Tomas; Segu Estruch, Marta; López Codina, Daniel; Sayrol Clos, Elisa; Joseph Munné, Joan (Frontiers Media SA, 2023-11-24)
    Article
    Accés obert
    Malaria is one of the most prevalent infectious diseases in sub-Saharan Africa, with 247 million cases reported worldwide in 2021 according to the World Health Organization. Optical microscopy remains the gold standard ...
  • Measuring motivation from the Virtual Learning Environment in secondary education 

    Aluja Banet, Tomàs; Sancho Samsó, María Ribera; Vukic, Ivan (Elsevier, 2019-09-01)
    Article
    Accés restringit per política de l'editorial
    The increase of student’s disengagement is a problem in many developed countries’ educational systems. This paper presents our approach on how the usage of VLEs (Virtual Learning Environments) can be traced and used to ...
  • Which design decisions in AI-enabled mobile applications contribute to greener AI? 

    Creus Castanyer, Roger; Martínez Fernández, Silverio Juan; Franch Gutiérrez, Javier (Springer Nature, 2024)
    Article
    Accés restringit per política de l'editorial
    Background: The usage of complex artificial intelligence (AI) models demands expensive computational resources. While currently, available high-performance computing environments can support such complexity, the deployment ...
  • Hyperparameter optimization for AST differencing 

    Martínez Martínez, Matías-Sebastián; Falleri, Jean Rémy; Monperrus, Martin (2023-10-01)
    Article
    Accés obert
    Computing the differences between two versions of the same program is an essential task for software development and software evolution research. AST differencing is the most advanced way of doing so, and an active research ...
  • Reproducible experiments for generating pre-processing pipelines for AutoETL 

    Giovanelli, Joseph; Bilalli, Besim; Abelló Gamazo, Alberto; Silva Coira, Fernando; de Bernardo Roca, Guillermo (Elsevier, 2024-02)
    Article
    Accés restringit per política de l'editorial
    This work is a companion reproducibility paper of the experiments and results reported in Giovanelli et al. (2022), where data pre-processing pipelines are evaluated in order to find pipeline prototypes that reduce the ...
  • Training future ML engineers: a project-based course on MLOps 

    Lanubile, Filippo; Martínez Fernández, Silverio Juan; Quaranta, Luigi (03/2024)
    Article
    Accés obert
    Recently, the proliferation of commercial ML-based services has given rise to new job roles, such as ML engineers. Despite being highly sought-after in the job market, ML engineers are difficult to recruit, possibly due ...
  • Guiding the retraining of convolutional neural networks against adversarial inputs 

    Durán López, Francisco Javier; Martínez Fernández, Silverio Juan; Felderer, Michael; Franch Gutiérrez, Javier (PeerJ, 2023-08-08)
    Article
    Accés obert
    Background: When using deep learning models, one of the most critical vulnerabilities is their exposure to adversarial inputs, which can cause wrong decisions (e.g., incorrect classification of an image) with minor ...
  • Gestió de dades massives 

    Abelló Gamazo, Alberto; Bilalli, Besim (Institut d'Estudis Catalans (IEC), 2023-09-22)
    Article
    Accés obert
    Aquest article pretén donar una visió general del que és la gestió de dades massives, la seva problemàtica i com s’han d’abordar les solucions. La principal dificultat és que no existeix una solució genèrica i s’ha de ...
  • Eris: efficiently measuring discord in multidimensional sources 

    Abelló Gamazo, Alberto; Cheney, James (Springer Nature, 2024)
    Article
    Accés obert
    Data integration is a classical problem in databases, typically decomposed into schema matching, entity matching and data fusion. To solve the latter, it is mostly assumed that ground truth can be determined. However, in ...
  • Patrons foscos en el disseny de la interfície persona-ordinador: el cas de l’obtenció del consentiment de galetes 

    Olivé Ramon, Antoni (Institut d'Estudis Catalans (IEC), 2023-09-22)
    Article
    Accés obert
    Aquest article mostra els patrons foscos que s’usen freqüentment en el disseny del procés d’obtenció del consentiment de les galetes de llocs web. Un dels objectius principals d’aquests patrons és obtenir dades per a ...

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