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    Integrating Emotion Recognition Tools for Developing Emotionally Intelligent Agents 

    Marcos-Pablos, Samuel; Lobato, Fernando; García-Peñalvo, Francisco (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022-09)
    Emotionally responsive agents that can simulate emotional intelligence increase the acceptance of users towards them, as the feeling of empathy reduces negative perceptual feedback. This has fostered research on emotional ...

    Design of Integrated Artificial Intelligence Techniques for Video Surveillance on IoT Enabled Wireless Multimedia Sensor Networks 

    Mansour, Romany F.; Soto, Carlos; Soto-Díaz, Roosvel; Escorcia Gutierrez, José; Gupta, Deepak; Khanna, Ashish (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022-09)
    The recent advancements in the Internet of Things (IoT) and Wireless Multimedia Sensor Networks (WMSN) made high-speed multimedia streaming, data processing, and essential analytics processes with minimal delay. Multimedia ...

    Painting Authorship and Forgery Detection Challenges with AI Image Generation Algorithms: Rembrandt and 17th Century Dutch Painters as a Case Study 

    Fraile-Narvaez, Marcelo; Sagredo-Olivenza, Ismael; McGowan, Nadia (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022-12)
    Image authorship attribution presents many challenges and difficulties which have increased with the capabilities presented by synthetic image generation through different artificial intelligence algorithms available today. ...

    Empirical Analysis of Ethical Principles Applied to Different AI Uses Cases 

    López Rivero, Alfonso José; Beato, M. Encarnación; Muñoz Martínez, César; Cortiñas Vázquez, Pedro Gonzalo (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022-12)
    In this paper, we present an empirical study on the perception of the ethical challenges of artificial intelligence groups in the classification made by the European Union (EU). The study seeks to identify the ethical ...

    Promoting Social Media Dissemination of Digital Images Through CBR-Based Tag Recommendation 

    Martín-Gómez, Lucía; Pérez-Marcos, Javier; Cordero-Gutiérrez, Rebeca; De La Iglesia, Daniel H. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022-09)
    Multimedia content has become an essential tool to share knowledge, sell products or disseminate messages. Some social networks use multimedia content to promote information and create social communities. In order to ...

    Neural Collaborative Filtering Classification Model to Obtain Prediction Reliabilities 

    Bobadilla, Jesús; Gutiérrez, Abraham; Alonso, Santiago; González-Prieto, Ángel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022-06)
    Neural collaborative filtering is the state of art field in the recommender systems area; it provides some models that obtain accurate predictions and recommendations. These models are regression-based, and they just return ...

    A Survey on Data-Driven Evaluation of Competencies and Capabilities Across Multimedia Environments 

    Strukova, Sofia; Ruipérez-Valiente, José A.; Gómez Mármol, Félix (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022-10)
    The rapid evolution of technology directly impacts the skills and jobs needed in the next decade. Users can, intentionally or unintentionally, develop different skills by creating, interacting with, and consuming the content ...

    Towards the Grade’s Prediction. A Study of Different Machine Learning Approaches to Predict Grades from Student Interaction Data 

    Alonso-Misol Gerlache, Héctor; Moreno-Ger, Pablo; de-la-Fuente-Valentín, Luis (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022-06)
    There is currently an open problem within the field of Artificial Intelligence applied to the educational field, which is the prediction of students’ grades. This problem aims to predict early school failure and dropout, ...

    Electromiographic Signal Processing Using Embedded Artificial Intelligence: An Adaptive Filtering Approach 

    Proaño-Guevara, Daniel; Blanco Valencia, Xiomara Patricia; Rosero-Montalvo, Paul D.; Peluffo-Ordóñez, Diego H. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022-09)
    In recent times, Artificial Intelligence (AI) has become ubiquitous in technological fields, mainly due to its ability to perform computations in distributed systems or the cloud. Nevertheless, for some applications -as ...

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