• A recommender system based on implicit feedback for selective dissemination of ebooks 

      Núñez-Valdez, Edward Rolando; Quintana, David; González-Crespo, Rubén ; Isasi, Pedro; Herrera-Viedma, Enrique (Information Sciences, 10/2018)
      In this study, we describe a recommendation system for electronic books. The approach is based on implicit feedback derived from user's interaction with electronic content. User's behavior is tracked through several ...
    • A survey on machine learning for recurring concept drifting data streams 

      Suárez-Cetrulo, Andrés L.; Quintana, David; Cervantes, Alejandro (Expert Systems with Applications, 2023)
      The problem of concept drift has gained a lot of attention in recent years. This aspect is key in many domains exhibiting non-stationary as well as cyclic patterns and structural breaks affecting their generative processes. ...
    • AWS PredSpot: Machine Learning for Predicting the Price of Spot Instances in AWS Cloud 

      Baldominos Gómez, Alejandro; Saez, Yago; Quintana, David; Isasi, Pedro (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2022)
      Elastic Cloud Compute (EC2) is one of the most well-known services provided by Amazon for provisioning cloud computing resources, also known as instances. Besides the classical on-demand scheme, where users purchase compute ...
    • Dynamic Generation of Investment Recommendations Using Grammatical Evolution 

      Martín, Carlos; Quintana, David; Isasi, Pedro (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      The attainment of trading rules using Grammatical Evolution traditionally follows a static approach. A single rule is obtained and then used to generate investment recommendations over time. The main disadvantage of this ...
    • Editor's Note 

      Golpe, Antonio A.; Isasi, Pedro; Martín-Álvarez, Juan-Manuel; Quintana, David (03/2022)
      Machine learning (ML) is generating new opportunities for innovative research in areas apparently unrelated such as, economics, business or/and finance. Specifically, it has also been widely used in applications related ...
    • Editor's Note 

      Golpe, Antonio A.; Isasi, Pedro; Martín Álvarez, Juan M. ; Quintana, David (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022)
      Machine learning (ML) is generating new opportunities for innovative research in areas apparently unrelated such as, economics, business or/and finance [1]. Specifically, it has also been widely used in applications related ...
    • Improving Children's Experience on a Mobile EdTech Platform through a Recommender System 

      Ruiz-Iniesta, Almudena ; Melgar, Luis; Baldominos, Alejandro; Quintana, David (Mobile Information Systems, 2018)
      Smile and Learn is an EdTech digital publisher that offers a smart library of close to 100 educational stories and gaming apps for mobile devices aimed at children aged 2 to 10 and their families. Given the complexity of ...
    • 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), 05/2022)
      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 ...
    • 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 ...