Departamento de Ciencia de la Computación e Inteligencia Artificial

 

En esta Comunidad se recogen los documentos generados por el Departamento de Ciencia de la Computación e Inteligencia Artificial y que cumplen los requisitos de Copyright para su difusión en acceso abierto.

Hasta febrero de 2024 este Departamento se denominaba Informática y Análisis Numérico.

Si usted es miembro del Departamento y desea depositar un documento puede enviarnos un mensaje.

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Los contenidos se encuentran sujetos bajo una Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Recent Submissions

  • Global and Diverse Ensemble model for regression 

    Durán Rosal, Antonio Manuel; Ashley, Thomas; Pérez Rodríguez, Javier; Fernández-Navarro, Francisco (Elsevier, 2025)
    Diversity is a fundamental component in ensemble methods, crucial for enhancing the overall performance and robustness of predictive models. In bagging and boosting, diversity is implicitly generated through the data ...

  • The “Viterbo2025-1.0” Dataset for Training and Testing AI Algorithms for Criminal Actions Detection and Recognition 

    Zingoni, Andrea; Alcalde-Llergo, José M.; Melloni, Daniele; Nervini, Riccardo; Sperandio, Matteo; Fantasia, Nicola; Yeguas-Bolívar, Enrique (IEEE, 2026)
    The recent escalation of urban street violence is requiring the development of effective and timely detection strategies. Among the most promising approaches is the use of artificial intelligence-based human action recognition ...

  • A Vision-Based Fiducial Object Input Device for Intuitive Interaction 

    García-Ruiz, Pablo; Alcalde-Llergo, José M.; Zingoni, Andrea; Aparicio Martínez, Pilar; Yeguas-Bolívar, Enrique (Springer Nature, 2025)
    Human-computer interaction plays a crucial role in daily activities, underscoring the importance of developing intuitive, adaptable, and precise interaction mechanisms. In this work, we present a novel vision-based input ...

  • eStudy: a Novel Human-Centric AI-Based Platform to Customize Educational Contents on the Scholars' Needs 

    Melloni, Daniele; Cramerotti, Sofia; Zambotti, Francesco; Rivelli, Nicoletta; De Martin, Nicoletta; Yeguas-Bolívar, Enrique; Calabrò, Giuseppe; Alcalde-Llergo, José M.; Zingoni, Andrea (IEEE, 2026)
    Personalized learning enhances student engagement, comprehension, and retention by adapting education to individual needs. Whereas AI offers powerful tools for delivering personalized content through data analysis and ...

  • Enhancing Accessibility and Learning: the History of Nursing Through Virtual Reality 

    Bisio, Alessia; Aparicio Martínez, Pilar; Ramadan, Ibrahim; Alcalde-Llergo, José M.; Zingoni, Andrea; Yeguas-Bolívar, Enrique (IEEE, 2026)
    Virtual Reality has emerged as a powerful educational technology capable of delivering immersive, interactive learning experiences while simultaneously addressing accessibil-ity challenges in public spaces. This study ...

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