Recent Submissions

  • Journey to the center of software supply chain attacks 

    Ladisa, Piergiorgio; Ponta, Serena Elisa; Sabetta, Antonino; Martínez Martínez, Matías-Sebastián; Barais, Olivier (Institute of Electrical and Electronics Engineers (IEEE), 2023-08-21)
    Article
    Open Access
    This article discusses open source software supply chain attacks and proposes a general taxonomy describing how attackers conduct them. We then provide a list of safeguards to mitigate such attacks. We present our tool ...
  • Exploring the landscape of learning analytics privacy in fog and edge computing: A systematic literature review 

    Amo Filvà, Daniel; Fonseca Escudero, David; García Peñalvo, Francisco Javier; Alier Forment, Marc; Casany Guerrero, María José; Godoy Hernández, Guillem (Elsevier, 2024-09)
    Article
    Restricted access - publisher's policy
    The study systematically reviews the integration of Fog and Edge Computing within Learning Analytics to enhance data privacy and security in educational settings that use cloud computing. Employing the PRISMA methodology, ...
  • TrustML: A Python package for computing the trustworthiness of ML models 

    Manzano Aguilar, Martí; Ayala Martínez, Claudia Patricia; Gómez Seoane, Cristina (2024-05-01)
    Article
    Open Access
    Artificial Intelligence has become increasingly important for aiding human decision making in various fields such as healthcare, automotive industry, education, and economy. Hence, in the last years, the interest of ...
  • moduli: A disaggregated data management architecture for data-intensive workflows 

    Ceravolo, Paolo; Catarci, Tiziana; Console, Marco; Cudré-Mauroux, Philippe; Groppe, Sven; Hose, Katja; Pokorný, Jaroslav; Romero Moral, Óscar; Wrembel, Robert (2024-02)
    Article
    Open Access
    As companies store, process, and analyse bigger and bigger volumes of highly heterogeneous data, novel research and technological challenges are emerging. Traditional and rigid data integration and processing techniques ...
  • Generative artificial intelligence in education: from deceptive to disruptive 

    Alier Forment, Marc; García Peñalvo, Francisco José; Camba, Jorge D. (2024-03)
    Article
    Open Access
    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
    Open Access
    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
    Open Access
    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
    Restricted access - publisher's policy
    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
    Restricted access - publisher's policy
    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
    Open Access
    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
    Restricted access - publisher's policy
    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
    Open Access
    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 ...

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