Mostrando ítems 1-12 de 12

    • AI Powered Commentary and Camera Direction in E-Sports 

      Narayanan, Swathi Jamjal; Joseph, Kevin Winston; Sirohi, Devansh; Chaudhary, Harsh; Shivkumar, Hitesh (UNIR, 26/03/2026)
      Real-time, AI-driven commentary and camera direction provide revolutionary possibilities to improve spectator engagement and comprehension of live events in the rapidly advancing world of e-sports. This paper proposes an ...
    • AI Prediction and Teaching Strategies for a Two-Phase Engine in a Smart Learning Platform 

      Real-Fernández, Alberto; García-Sigüenza, Javier; Llorens-Largo, Faraón; Molina-Carmona, Rafael (UNIR, 26/03/2026)
      The impact and progress of Information Technologies has led to a process of change in most environments of our society, specially education. Even more with the current rise of Artificial Intelligence, what has led to the ...
    • Blending Language Models and Domain-Specific Languages in Computer Science Education. A Case Study on API RESTFul 

      Jurado, Francisco; Rodríguez, Francy D.; Chavarriaga, Enrique; Rojas, Luis (UNIR, 26/03/2026)
      Since Computer Science students are used to applying both General Purpose Programming Languages (GPPLs) and Domain-Specific Languages (DSLs), Generative Artificial Intelligence based on Language Models (LMs) can help them ...
    • Editor's Note 

      Verdú, Elena (UNIR, 26/02/2026)
      The International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI) provides a forum for researchers and professionals to share recent advances in artificial intelligence (AI) and its wide range of ...
    • Multi-Class Dental CBCT Segmentation in Data- Constrained Scenarios Through Transformers 

      Giménez-Aguilar, Rafael C.; Paraíso-Medina, Sergio; García-Remesal, Miguel; Pradíes Ramiro, Guillermo Jesús; Bonfanti-Gris, Monica; Alonso-Calvo, Raúl (UNIR, 26/03/2026)
      Accurate segmentation of dental structures from cone-beam computed tomography (CBCT) images has become an active research field due to the widespread use of this technology in clinical practice. In recent years, contributions ...
    • Predicting Tree Growth and Transpiration in Forests: An Analysis of a Small-Scale Dataset With Pareto Optimized Tsaug Augmentation 

      Maskeliūnas, Rytis; Damaševičius, Robertas; Odusam, Modupe; Sidabrienė, Diana; Augustaitis, Algirdas; Mozgeris, Gintautas (UNIR, 26/03/2026)
      The study demonstrates the potential of specifically developed data augmentation in estimating tree growth and transpiration by emphasizing the influence of environmental variables, such as photosynthetically active radiation ...
    • PRESTO: A Recommender of Musical Collaborations Based on Heterogeneous Graph Neural Networks 

      Terroso-Saenz, Fernando; Soto, Jesús; Muñoz, Andrés; Roose, Philippe (UNIR, 26/02/2026)
      The music industry is now more complex and competitive than ever before. In recent years, the search for collaborations with other artists has become a common strategy for musicians to maintain their presence in the sector. ...
    • Recommender Systems: Learning Collaborative Filtering Similarity Measures Using Siamese Networks 

      Bobadilla, Jesús; Gutierrez, Abraham (UNIR, 28/02/2026)
      Improving current similarity measures in the collaborative filtering Recommender Systems is relevant, since it contributes to different applications such as to get better big data representations of users and items, to ...
    • Robust Federated Learning With Contrastive Learning and Meta-Learning 

      Zhang, Huan; Chen, Yuxian; Li, Kuanching; Li, Yuhui; Zhou, Sisi; Liang, Wei; Poniszewska-Maranda, Aneta (UNIR, 26/03/2026)
      Federated learning is regarded as an effective approach to addressing data privacy issues in the era of artificial intelligence. Still, it faces the challenges of unbalanced data distribution and client vulnerability to ...
    • Source Credibility Assessment in the Realm of Information Disorder: A Literature Review 

      Cosentino, Alessia; de Maio, Carmen; Furno, Domenico; Gallo, Mariacristina; Loia, Vincenzo (UNIR, 26/02/2026)
      The proliferation of information disorder in the digital age has sparked a growing concern regarding the credibility of sources disseminating information. This review examines the evolving landscape of source credibility ...
    • The Application of Large Language Models and Virtual Assistants in Project Management Research: A Review 

      Gil Ruiz, Jesús; Zayas-Gallardo, Javier; Díaz Rodríguez, Hernán (UNIR, 26/03/2026)
      The rapid evolution of generative artificial intelligence (AI) is transforming project management practices by enhancing efficiency, productivity and adaptability in decision-making processes. The integration of large ...
    • UPMVM: A Metrics Verification Model for Urdu Poetry 

      Zaman, Asia; Ud-Din, Zia; Iqbal, Sajid; Al Shuhail, Asma (UNIR, 26/03/2026)
      Urdu poetry retains a prominent position in the cultural heritage of Urdu language. Rhyme schemes and meters are frequently employed in poetry, which follow specific patterns and structures. Natural Language Processing has ...