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Recent Submissions

  • Assessing AI capabilities with education tests 

    Staneva, Mila; Baret, Abel; Aso Mollar, Ángel; Blass, Joseph; Carrión Ponz, Salvador; Conitzer, Vincent; Cortés García, Claudio Ulises; Dasigi, Pradeep; Magnossão de Paula, Angel Felipe; Galindo Jiménez, Carlos (OECD Publishing, 2023)
    Part of book or chapter of book
    Open Access
    This chapter introduces three exploratory studies that assessed the capabilities of artificial intelligence (AI) through standardised education tests designed for humans. The first two studies, conducted in 2016 and 2021/22, ...
  • Generative models for data augmentation on inertial measurement units data classification 

    Llauradó Crespo, Blanca Mercedes; Núñez Rodríguez, José Fernando; Romero Antolín, Axel Martín; Arjona Martínez, Jamie; Béjar Alonso, Javier; Gómez García, Jorge A.; Torricelli, Diego (IOS Press, 2024)
    Part of book or chapter of book
    Open Access
    Diagnosis using time series data is an important area in medical domains. Machine learning models rely on large collections of data for successful generalisation. However, data collection in fields such as medicine is ...
  • Scaling process mining to turn insights into actions 

    Van der Aalst, Wil M.P.; Carmona Vargas, Josep (Springer, 2022)
    Part of book or chapter of book
    Open Access
    This final chapter reflects on the current status of the process mining discipline and provides an outlook on upcoming developments and challenges. The broader adoption of process mining will be a gradual process. Process ...
  • Conformance checking: foundations, milestones and challenges 

    Carmona Vargas, Josep; Dongen, Boudewijn F. van; Weidlich, Matthias (Springer, 2022)
    Part of book or chapter of book
    Open Access
    By relating observed and modelled behaviour, conformance checking unleashes the full power of process mining. Techniques from this discipline enable the analysis of the quality of a process model discovered from event data, ...
  • Advanced process discovery techniques 

    Augusto, Adriano; Carmona Vargas, Josep; Verbeek, Eric (Springer, 2022)
    Part of book or chapter of book
    Open Access
    Given the challenges associated to the process discovery task, more than a hundred research studies addressed the problem over the past two decades. Despite the richness of proposals, many state-of-the-art automated process ...
  • Consistency, acyclicity, and positive semirings 

    Atserias, Albert; Kolaitis, Phokion (Springer, 2023)
    Part of book or chapter of book
    Open Access
    In several different settings, one comes across situations in which the objects of study are locally consistent but globally inconsistent. Earlier work about probability distributions by Vorob’ev (1962) and about database ...
  • Visual insights from the latent space of generative models for molecular design 

    Caravallo, Salvatore; Vellido Alcacena, Alfredo; König, Caroline (Springer, 2022-08-27)
    Part of book or chapter of book
    Restricted access - publisher's policy
    The inverse design of materials is an active field of research in engineering, for which generative models are eliciting an increasing interest, due to their ability to create new possibly meaningful representations of ...
  • Boosting AutoML and XAI in manufacturing: AI model generation framework 

    Barroso Isidoro, Marta; Hinjos García, Daniel; Martin Torres, Pablo Agustin; Gonzalez Mallo, Marta; Giménez Ábalos, Víctor; Álvarez Napagao, Sergio (Springer, 2024)
    Part of book or chapter of book
    Open Access
    The adoption of AI in manufacturing enables numerous benefits that can significantly impact productivity, efficiency, and decision-making processes. AI algorithms can optimize production schedules, inventory management, ...
  • Exploring data distributions in machine learning models with SOMs 

    König, Caroline; Vellido Alcacena, Alfredo (Springer, 2024-08-01)
    Part of book or chapter of book
    Restricted access - publisher's policy
    Data quality control is fundamental in data-driven analysis with machine learning (ML) models. In the domain of drug research, there is an increasing interest in the prediction of relevant biocompounds physicochemical ...
  • The semanticity of catalan words: quantitative linguistics in the era of large language models 

    Catala Roig, Neus; Casas Fernández, Bernardino; Hernández Fernández, Antonio (Dykinson, 2024-07)
    Part of book or chapter of book
    Open Access
    The emergence of Large Language Models (LLMs) like ChatGPT has significantly transformed both theoretical and applied linguistics, raising a profound debate within linguistics. These models, such as GPT (Generative Pre-trained ...
  • Adaptive learning web application applied to Engineering Graphics teaching 

    Gabriel Cerna, Pedro Víctor; Pérez Poch, Antoni; Alpiste Penalba, Francesc; Brigos Hermida, Miguel Ángel; Torner Ribé, Jordi (2024-02-02)
    Part of book or chapter of book
    Restricted access - publisher's policy
    Adaptive learning is a method that individualizes teaching-learning strategies according to learners’ needs and preferences. This paper describes the design, implementation, and testing of a web application developed using ...
  • Incentives in surplus food distribution for smart cities and beyond: an activity aware solution 

    Sanyal, Surja; Mukhopadhyay, Sajal; Xhafa Xhafa, Fatos; Kumar Singh, Vikash; Sanyal, Banhi (Springer, 2023-05)
    Part of book or chapter of book
    Restricted access - publisher's policy
    Food surplus donation has emerged as a popular means to counter the food wastage issue that the world has been facing in recent years. The fact that this also addresses the food insecurity challenge is an added bonus. The ...

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