Capítols de llibre

Recent Submissions

  • 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
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    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
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    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
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    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 ...

  • LotterySampling: A randomized algorithm for the Heavy Hitters and Top-k problems in data streams 

    Martínez Parra, Conrado; Solera Pardo, Gonzalo (Springer, 2022)
    Part of book or chapter of book
    Open Access
    We propose a new randomized count-based algorithm to solve the Heavy Hitters and Top-k problems in data streams. This algorithm, called LotterySampling, uses the intuitive concept of “lottery tickets”, to decide which ...

  • A probabilistic model revealing shortcomings in Lua’s hybrid tables 

    Martínez Parra, Conrado; Nicaud, Cyril; Rotondo, Pablo (Springer, 2022)
    Part of book or chapter of book
    Open Access
    Lua (Ierusalimschy et al., 1996) is a well-known scripting language, popular among many programmers, most notably in the gaming industry. Remarkably, the only data-structuring mechanism in Lua, is an associative array ...

  • An overview of optimization and resolution methods in satellite scheduling and spacecraft operation: description, modeling, and application 

    Ip, Andrew; Xhafa Xhafa, Fatos; Dong, Jingyi; Gao, Ming (Elsevier, 2022-03-29)
    Part of book or chapter of book
    Restricted access - publisher's policy
    With the popularization of satellite technology and the normal development of satellite use, the number of mission planning and operation of satellites has increased significantly, including large and intelligent satellites, ...

  • The impact of animations in the perception of a simulated crowd 

    Molina López, Elena; Ríos Jerez, Alejandro; Pelechano Gómez, Núria (Springer, 2021)
    Part of book or chapter of book
    Open Access
    Simulating virtual crowds is an important challenge in many areas such as games and virtual reality applications. A lot of effort has been dedicated to improving pathfinding, collision avoidance, or decision making, to ...

  • Predicciones financieras basadas en análisis de sentimiento de textos y minería de opiniones 

    Arratia Quesada, Argimiro Alejandro (FUNCAS, 2021-04-01)
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    En este capítulo se describe la mecánica básica para construir un modelo de predicción que utiliza indicadores de sentimiento derivados de datos textuales. Enfocamos nuestro objetivo de predicciones en series de ...

  • A quaternion deterministic monogenic CNN layer for contrast invariance 

    Moya Sánchez, Eduardo Ulises; Xambó Descamps, Sebastián; Salazar Colores, Sebastián; Sánchez-Pérez, Abraham; Cortés García, Claudio Ulises (Springer, 2021)
    Part of book or chapter of book
    Open Access
    Deep learning (DL) is attracting considerable interest as it currently achieves remarkable performance in many branches of science and technology. However, current DL cannot guarantee capabilities of the mammalian visual ...

  • Sentiment analysis of financial news: mechanics and statistics 

    Arratia Quesada, Argimiro Alejandro; Ávalos Villaseñor, Gustavo Eduardo; Cabaña Nigro, Ana Alejandra; Duarte López, Ariel; Renedo Mirambell, Martí (Springer, 2021-06-11)
    Part of book or chapter of book
    Open Access
    This chapter describes the basic mechanics for building a forecasting model that uses as input sentiment indicators derived from textual data. In addition, as we focus our target of predictions on financial time series, ...

  • A Research roadmap for IoT monitoring and computational modelling for next generation agriculture 

    Krause, Paul; Xhafa Xhafa, Fatos (Springer, 2021)
    Part of book or chapter of book
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    : In this final chapter, we outline a vision for a technological revolution in agriculture that would work to regain a sense of balance between food production and natural ecosystems. We promote an ecological engineering ...

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