Mostrando ítems 27-44 de 44

    • 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), 11/2022)
      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 ...
    • Optimal Target-Oriented Knowledge Transportation For Aspect-Based Multimodal Sentiment Analysis 

      Zhang, Linhao; Jin, Li; Xu, Guangluan; Li, Xiaoyu; Sun, Xian; Zhang, Zequn; Zhang, Yanan; Li, Qui (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 02/2024)
      Aspect-based multimodal sentiment analysis under social media scenario aims to identify the sentiment polarities of each aspect term, which are mentioned in a piece of multimodal user-generated content. Previous approaches ...
    • 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, 04/2023)
      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 ...
    • Platform for Improving the User Experience in the Creation of Educational Multiplayer Video Games 

      Sánchez-Canella, Fernando; Pascual-Espada, Jordán; Cid-Rico, Irene (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2024)
      Students’ motivation is one of the factors that directly affect academic performance. In recent years, teachers are looking for ways to motivate students during their training period. For example, making use of slides, ...
    • Reliability of IBM’s Public Quantum Computers 

      Pérez-Antón, Raquel; Corbi, Alberto; López-Sánchez, José Ignacio; Burgos, Daniel (International Journal of Interactive Multimedia and Artificial Intelligence, 04/2023)
      One of the challenges of the current ecosystem of quantum computers (QC) is the stabilization of the coherence associated with the entanglement of the states of their inner qubits. In this empirical study, we monitor the ...
    • 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, 01/2024)
      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 ...
    • Reversible Image Watermarking Using Modified Quadratic Difference Expansion and Hybrid Optimization Technique 

      Lakshmi, H. R.; Borra, Surekha (International Journal of Interactive Multimedia and Artificial Intelligence, 08/2023)
      With increasing copyright violation cases, watermarking of digital images is a very popular solution for securing online media content. Since some sensitive applications require image recovery after watermark extraction, ...
    • Spatial-Aware Multi-Level Parsing Network for Human-Object Interaction 

      Su, Zhan; Yu, Ruiyun; Zou, Shihao; Guo, Bingyang; Cheng, Li (International Journal of Interactive Multimedia and Artificial Intelligence, 06/2023)
      Human-Object Interaction (HOI) detection focuses on human-centered visual relationship detection, which is a challenging task due to the complexity and diversity of image content. Unlike most recent HOI detection works ...
    • 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, 05/2023)
      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 ...
    • Testing Deep Learning Recommender Systems Models on Synthetic GAN-Generated Datasets 

      Bobadilla, Jesús; Gutiérrez, Abraham (International Journal of Interactive Multimedia and Artificial Intelligence, 10/2023)
      The published method Generative Adversarial Networks for Recommender Systems (GANRS) allows generating data sets for collaborative filtering recommendation systems. The GANRS source code is available along with a representative ...
    • The Application of Deep Learning for Classification of Alzheimer's Disease Stages by Magnetic Resonance Imaging Data 

      Irfan, Muhammad; Shahrestani, Seyed; ElKhodr, Mahmoud (International Journal of Interactive Multimedia and Artificial Intelligence, 07/2023)
      Detecting Alzheimer’s disease (AD) in its early stages is essential for effective management, and screening for Mild Cognitive Impairment (MCI) is common practice. Among many deep learning techniques applied to assess brain ...
    • 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, 09/2023)
      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 ...
    • TKU-PSO: An Efficient Particle Swarm Optimization Model for Top-K High-Utility Itemset Mining 

      Carstensen, Simen; Chun-Wei Lin, Jerry (International Journal of Interactive Multimedia and Artificial Intelligence, 01/2024)
      Top-k high-utility itemset mining (top- HUIM) is a data mining procedure used to identify the most valuable patterns within transactional data. Although many algorithms are proposed for this purpose, they require substantial ...
    • Traffic Optimization Through Waiting Prediction and Evolutive Algorithms 

      García, Francisco; Hernández, Helena; Moreno-García, María N.; de Paz Santana, Juan F.; López, Vivian F.; Bajo, Javier (International Journal of Interactive Multimedia and Artificial Intelligence, 12/2023)
      Traffic optimization systems require optimization procedures to optimize traffic light timing settings in order to improve pedestrian and vehicle mobility. Traffic simulators allow obtaining accurate estimates of traffic ...
    • Trends in Addiction to Psychoactive Substances Among Homeless People in Colombia Using Artificial Intelligence 

      Ordoñez, Hugo; Timarán-Pereira, Ricardo; González-Sanabria, Juan-Sebastián (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 02/2024)
      Introduction: Currently, homelessness should not be seen as just another problem, but as a reality of inequality and the absence of social justice. In this sense, homeless people are subjected to social disengagement, lack ...
    • Use of Data Mining for Intelligent Evaluation of Imputation Methods 

      la Red, David L.; Primorac, Carlos R. (International Journal of Interactive Multimedia and Artificial Intelligence, 03/2023)
      In real-world situations, researchers frequently face the difficulty of missing values (MV), i.e., values not observed in a data set. Data imputation techniques allow the estimation of MV using different algorithms, by ...
    • Use of Optimised LSTM Neural Networks Pre-Trained With Synthetic Data to Estimate PV Generation 

      Martínez-Comesaña, Miguel; Martínez-Torres, Javier; Eguía-Oller, Pablo; López-Gómez, Javier (International Journal of Interactive Multimedia and Artificial Intelligence, 11/2023)
      Optimising the use of the photovoltaic (PV) energy is essential to reduce fossil fuel emissions by increasing the use of solar power generation. In recent years, research has focused on physical simulations or artifical ...
    • What Drives IoT-Based Smart Pet Appliances Usage Intention? The Perspective of the Unified Theory of Acceptance and Use of Technology Model 

      Chen, Chia-Chen; Lin, Chia-Pei (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2024)
      The advancement of IOT (Internet of Things) has facilitated the development of smart pet appliances, and the market for these products has growing rapidly, this study seeks to identify key factors for pet owner adoption ...