Mostrando ítems 1-17 de 17

    • OBOE: an Explainable Text Classification Framework 

      del Águila Escobar, Raúl A.; Suárez-Figueroa, Mari Carmen; Fernández-López, Mariano (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2024)
      Explainable Artificial Intelligence (XAI) has recently gained visibility as one of the main topics of Artificial Intelligence research due to, among others, the need to provide a meaningful justification of the reasons ...
    • Chatbot-Based Learning Platform for SQL Training 

      Balderas, Antonio; Baena-Pérez, Rubén; Person, Tatiana; Mota, José Miguel; Ruiz-Rube, Iván (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2024)
      Learning the SQL language for working with relational databases is a fundamental subject for future computer engineers. However, in distance learning contexts or unexpected situations like the COVID-19 pandemic, where ...
    • Modulating the Gameplay Challenge Through Simple Visual Computing Elements: A Cube Puzzle Case Study 

      Ribelles, Jose; Lopez, Angeles; Traver, V. Javier (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2024)
      Positive player’s experiences greatly rely on a balanced gameplay where the game difficulty is related to player’s skill. Towards this goal, the gameplay can be modulated to make it easier or harder. In this work, a ...
    • Longitudinal Segmented Analysis of Internet Usage and Well-Being Among Older Adults 

      Cervantes, Alejandro; Quintana, David; Saez, Yago; Isasi, Pedro (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2024)
      The connection between digital literacy and the three core dimensions of psychological well-being is not yet well understood, and the evidence is controversial. We analyzed a sample of 2,314 individuals, aged 50 years and ...
    • Drug Target Interaction Prediction Using Machine Learning Techniques – A Review 

      Suruliandi, A.; Idhaya, T.; Raja, S. P. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2024)
      Drug discovery is a key process, given the rising and ubiquitous demand for medication to stay in good shape right through the course of one’s life. Drugs are small molecules that inhibit or activate the function of a ...
    • Supporting Skill Assessment in Learning Experiences Based on Serious Games Through Process Mining Techniques 

      Caballero-Hernández, Juan Antonio; Palomo-Duarte, Manuel; Dodero, Juan Manuel; Gaševic, Dragan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2024)
      Learning experiences based on serious games are employed in multiple contexts. Players carry out multiple interactions during the gameplay to solve the different challenges faced. Those interactions can be registered in ...
    • Graffiti Identification System Using Low-Cost Sensors 

      García García, Miguel; González Arrieta, María Angélica; Rodríguez González, Sara; Márquez-Sánchez, Sergio; Da Silva Ramos, Carlos Fernando (International Journal of Interactive Multimedia and Artificial Intelligence, 06/2024)
      This article introduces the possibility of studying graffiti using a colorimeter developed with Arduino hardware technology according to the Do It Yourself (DIY) philosophy. Through the obtained Red Green Blue (RGB) data ...
    • PeopleNet: A Novel People Counting Framework for Head-Mounted Moving Camera Videos 

      Tomar, A.; Kumar, S.; Pant, B. (International Journal of Interactive Multimedia and Artificial Intelligence, 06/2024)
      Traditional crowd counting (optical flow or feature matching) techniques have been upgraded to deep learning (DL) models due to their lack of automatic feature extraction and low-precision outcomes. Most of these models ...
    • An Efficient Fake News Detection System Using Contextualized Embeddings and Recurrent Neural Network 

      Ali Reshi, Junaid; Ali, Rashid (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2024)
      Fake news is detrimental for society and individuals. Since the information dissipation through online media is too quick, an efficient system is needed to detect and counter the propagation of fake news on social media. ...
    • Requirements for User Experience Management - A Tertiary Study 

      Hinderks, Andreas; Domínguez Mayo, Francisco José; Escalona, María José; Thomaschewski, Jörg (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2024)
      Today’s users expect to be able to interact with the products they own without much effort and also want to be excited about them. The development of a positive user experience must therefore be managed. We understand ...
    • The Game Theory in Quantum Computers: A Review 

      Pérez-Antón, Raquel; López-Sánchez, José Ignacio; Corbi, Alberto (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2024)
      Game theory has been studied extensively in recent centuries as a set of formal mathematical strategies for optimal decision making. This discipline improved its efficiency with the arrival, in the 20th century, of digital ...
    • Comprehensive Evaluation of Matrix Factorization Models for Collaborative Filtering Recommender Systems 

      Bobadilla, Jesús; Dueñas-Lerín, Jorge; Ortega, Fernando; Gutiérrez, Abraham (International Journal of Interactive Multimedia and Artificial Intelligence, 06/2024)
      Matrix factorization models are the core of current commercial collaborative filtering Recommender Systems. This paper tested six representative matrix factorization models, using four collaborative filtering datasets. ...
    • Editor’s Note 

      Montenegro-Marin, Carlos Enrique (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2024)
      This regular issue consists of 16 articles that use artificial intelligence or computational systems to come up with new solutions and solve problems more effectively. The issue showcases the use of Artificial Intelligence ...
    • KoopaML: A Graphical Platform for Building Machine Learning Pipelines Adapted to Health Professionals 

      García-Peñalvo, Francisco; Vázquez-Ingelmo, Andrea; García-Holgado, Alicia; Sampedro-Gómez, Jesús; Sánchez-Puente, Antonio; Vicente-Palacios, Víctor; Dorado-Díaz, P. Ignacio; Sánchez, Pedro L. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2024)
      Machine Learning (ML) has extended its use in several domains to support complex analyses of data. The medical field, in which significant quantities of data are continuously generated, is one of the domains that can benefit ...
    • Brain Tumor Classification Using a Pre-Trained Auxiliary Classifying Style-Based Generative Adversarial Network 

      Kumaar, M. Akshay; Samiayya, Duraimurugan; Rajinikanth, Venkatesan; Raj Vincent P M, Durai; Kadry, Seifedine (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2024)
      Computer Vision's applications and their use cases in the medical field have grown vastly in the past decade. The algorithms involved in these critical applications have helped doctors and surgeons perform procedures on ...
    • GRASE: Granulometry Analysis with Semi Eager Classifier to Detect Malware 

      Deore, Mahendra; Tarambale, Manoj; Raja Kumar, Jambi Ratna; Sakhare, Sachin (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2024)
      Technological advancement in communication leading to 5G, motivates everyone to get connected to the internet including ‘Devices’, a technology named Web of Things (WoT). The community benefits from this large-scale network ...
    • Lightweight Real-Time Recurrent Models for Speech Enhancement and Automatic Speech Recognition 

      Dhahbi, Sami; Saleem, Nasir; Gunawan, Teddy Surya; Bourouis, Sami; Ali, Imad; Trigui, Aymen; Algarni, Abeer D. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2024)
      Traditional recurrent neural networks (RNNs) encounter difficulty in capturing long-term temporal dependencies. However, lightweight recurrent models for speech enhancement are important to improve noisy speech, while being ...