Mostrando ítems 1-20 de 33

    • A Feature Selection Approach Based on Archimedes’ Optimization Algorithm for Optimal Data Classification 

      Khrissi, Lahbib; El Akkad, Nabil; Satori, Hassan; Satori, Khalid (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 01/2023)
      Feature selection is an active research area in data mining and machine learning, especially with the increase in the amount of numerical data. FS is a search strategy to find the best subset of features among a large ...
    • 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 ...
    • 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 ...
    • Analysis of Gender Differences in Facial Expression Recognition Based on Deep Learning Using Explainable Artificial Intelligence 

      Manresa-Yee, Cristina; Ramis, Silvia; Buades, José M. (International Journal of Interactive Multimedia and Artificial Intelligence, 04/2023)
      Potential uses of automated Facial Expression Recognition (FER) cover a wide range of applications such as customer behavior analysis, healthcare applications or providing personalized services. Data for machine learning ...
    • Aligning Figurative Paintings With Their Sources for Semantic Interpretation 

      Aslan, Sinem; Steels, Luc (International Journal of Interactive Multimedia and Artificial Intelligence, 04/2023)
      This paper reports steps in probing the artistic methods of figurative painters through computational algorithms. We explore a comparative method that investigates the relation between the source of a painting, typically ...
    • Efficient Gated Convolutional Recurrent Neural Networks for Real-Time Speech Enhancement 

      Fazal-E -Wahab; Ye, Zhongfu; Saleem, Nasir; Ali, Hamza (International Journal of Interactive Multimedia and Artificial Intelligence, 05/2023)
      Deep learning (DL) networks have grown into powerful alternatives for speech enhancement and have achieved excellent results by improving speech quality, intelligibility, and background noise suppression. Due to high ...
    • A Benchmark for the UEQ+ Framework: Construction of a Simple Tool to Quickly Interpret UEQ+ KPIs 

      Meiners, Anna-Lena; Schrepp, Martin; Hinderks, Andreas; Thomaschewski, Jörg (International Journal of Interactive Multimedia and Artificial Intelligence, 05/2023)
      Questionnaires are a highly efficient method to compare the user experience (UX) of different interactive products or versions of a single product. Concretely, they allow us to evaluate the UX easily and to compare different ...
    • An Improved Deep Learning Model for Electricity Price Forecasting 

      Iqbal, Rashed; Mokhlis, Hazlie; Mohd Khairuddin, Anis Salwa; Azam Muhammad, Munir (International Journal of Interactive Multimedia and Artificial Intelligence, 06/2023)
      Accurate electricity price forecasting (EPF) is important for the purpose of bidding strategies and minimizing the risk for market participants in the competitive electricity market. Besides that, EPF becomes critically ...
    • Machine Learning for Financial Prediction Under Regime Change Using Technical Analysis: A Systematic Review 

      Suárez-Cetrulo, Andrés L.; Quintana, David; Cervantes, Alejandro (International Journal of Interactive Multimedia and Artificial Intelligence, 06/2023)
      Recent crises, recessions and bubbles have stressed the non-stationary nature and the presence of drastic structural changes in the financial domain. The most recent literature suggests the use of conventional machine ...
    • 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 ...
    • Improvement of Academic Analytics Processes Through the Identification of the Main Variables Affecting Early Dropout of First-Year Students in Technical Degrees. A Case Study 

      Llauró, A.; Fonseca, David; Villegas, E.; Aláez, M.; Romero, S. (International Journal of Interactive Multimedia and Artificial Intelligence, 06/2023)
      The field of research on the phenomenon of university dropout and the factors that promote it is of the utmost relevance, especially in the current context of the Covid-19 pandemic. Students who have started degrees in the ...
    • 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 ...
    • Improving Retrieval Performance of Case Based Reasoning Systems by Fuzzy Clustering 

      Saadi, F.; Atmani, Baghdad; Henni, F. (International Journal of Interactive Multimedia and Artificial Intelligence, 07/2023)
      Case-based reasoning (CBR), which is a classical reasoning methodology, has been put to use. Its application has allowed significant progress in resolving problems related to the diagnosis, therapy, and prediction of ...
    • 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, ...
    • Large Language Models for in Situ Knowledge Documentation and Access With Augmented Reality 

      Izquierdo-Domenech, Juan; Linares-Pellicer, Jordi; Ferri-Molla, Isabel (International Journal of Interactive Multimedia and Artificial Intelligence, 09/2023)
      Augmented reality (AR) has become a powerful tool for assisting operators in complex environments, such as shop floors, laboratories, and industrial settings. By displaying synthetic visual elements anchored in real ...
    • 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 ...
    • Measuring the Difference Between Pictures From Controlled and Uncontrolled Sources to Promote a Destination. A Deep Learning Approach 

      Diaz-Pacheco, Angel; Álvarez-Carmona, Miguel A.; Rodríguez-González, Ansel Y.; Carlos, Hugo; Aranda, Ramón (International Journal of Interactive Multimedia and Artificial Intelligence, 10/2023)
      Promoting a destination is a major task for Destination Marketing Organizations (DMOs). Although DMOs control, to some extent, the information presented to travelers (controlled sources), there are other different sources ...
    • A Review of Bias and Fairness in Artificial Intelligence 

      González-Sendino, Rubén; Serrano, Emilio; Bajo, Javier; Novais, Paulo (International Journal of Interactive Multimedia and Artificial Intelligence, 11/2023)
      Automating decision systems has led to hidden biases in the use of artificial intelligence (AI). Consequently, explaining these decisions and identifying responsibilities has become a challenge. As a result, a new field ...
    • 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 ...
    • 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 ...