Mostrando ítems 454-473 de 743

    • 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), 01/2023)
      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 ...
    • Kuruma: The Vehicle Automatic Data Capture for Urban Computing Collaborative Systems 

      Cueva-Fernandez, Guillermo; Pascual Espada, Jordán; García-Díaz, Vicente; GonzalezRodriguez, Martin (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2013)
      Smartphones can provide coverage in large areas all around the world and with the availability of powerful operating systems they can become solid sensing infrastructures. In fact, static sensors are hard to deploy and ...
    • L.I.M.E. A recommendation model for informal and formal learning, engaged 

      Burgos, Daniel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2013)
      In current eLearning models and implementations (e.g. Learning Management Systems-LMS) there is a lack of engagement between formal and informal activities. Furthermore, the online methodology focuses on a standard set of ...
    • 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 ...
    • Learning Analytics to Detect Evidence of Fraudulent Behaviour in Online Examinations 

      Balderas, Antonio; Palomo-Duarte, Manuel; Caballero-Hernández, Juan Antonio; Rodriguez-Garcia, Mercedes; Dodero, Juan Manuel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Lecturers are often reluctant to set examinations online because of the potential problems of fraudulent behaviour from their students. This concern has increased during the coronavirus pandemic because courses that were ...
    • Learning Models for Semantic Classification of Insufficient Plantar Pressure Images 

      Dey, Nilanjan; Wu, Yao; Wu, Qun; Sherratt, Simon (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      Establishing a reliable and stable model to predict a target by using insufficient labeled samples is feasible and effective, particularly, for a sensor-generated data-set. This paper has been inspired with insufficient ...
    • Legal Effects of Link Sharing in Social Networks 

      Gil López, Eugenio; Castillo Sanz, Andrés G (International Journal of Interactive Multimedia and Artificial Intelligence, 12/2015)
      Knowledge sharing among individuals has changed deeply with the advent of social networks in the environment of Web 2.0. Every user has the possibility of publishing what he or she deems of interest for their audience, ...
    • Legal Issues Concerning P2P Exchange of Educational Materials and Their Impact on E-Learning Multi-Agent Systems 

      Gil, Eugenio; Castillo Sanz, Andrés G (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2013)
      The last years have known an impressive change in the use of technologies for the sharing and dissemination of knowledge, thus affecting deeply all the traditional means used by education in all its shapes and levels. This ...
    • Linear Temporal Logic-based Mission Planning 

      Kumar, Anil; Kala, Rahul (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
      In this paper, we describe the Linear Temporal Logic-based reactive motion planning. We address the problem of motion planning for mobile robots, wherein the goal specification of planning is given in complex environments. ...
    • Linked Data Methodologies for Managing Information about Television Content 

      Redondo-García, José Luis; Botón-Fernández, Vicente; Lozano-Tello, Adolfo (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2012)
      OntoTV is a television information management system designed for improving the quality and quantity of the information available in the current television platforms. In order to achieve this objective, OntoTV (1) collects ...
    • LIPSNN: A Light Intrusion-Proving Siamese Neural Network Model for Facial Verification 

      Alcaide, Asier; Patricio, Miguel A.; Berlanga, Antonio; Arroyo, Angel; Cuadrado Gallego, Juan J. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Facial verification has experienced a breakthrough in recent years, not only due to the improvement in accuracy of the verification systems but also because of their increased use. One of the main reasons for this has been ...
    • Local Convergence for an Improved Jarratt-type Method in Banach Space 

      Argyros, Ioannis K; González, Daniel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2015)
      We present a local convergence analysis for an improved Jarratt-type methods of order at least five to approximate a solution of a nonlinear equation in a Banach space setting. The convergence ball and error estimates are ...
    • Local Model-Agnostic Explanations for Black-box Recommender Systems Using Interaction Graphs and Link Prediction Techniques 

      Caro-Martínez, Marta; Jiménez-Díaz, Guillermo; Recio-García, Juan A. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      Explanations in recommender systems are a requirement to improve users’ trust and experience. Traditionally, explanations in recommender systems are derived from their internal data regarding ratings, item features, and ...
    • Local Technology to Enhance Data Privacy and Security in Educational Technology 

      Amo, Daniel; Prinsloo, Paul; Alier, Marc; Fonseca, David; Torres Kompen, Ricardo; Canaleta, Xavier; Herrero-Martín, Javier (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      In educational environments, technological adoption in the last 10 years has enabled a data-driven and decisionmaking paradigm in organizations. The integration of cloud services in schools and universities is a positive ...
    • 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 Based Method for Estimating Energy Losses in Large-Scale Unbalanced Distribution Systems with Photovoltaics 

      Mahmoud, Karar; Abdel-Nasser, Mohamed; Kashef, Heba; Puig, Domenec; Lehtonen, Matti (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      In the recent years, the penetration of photovoltaics (PV) has obviously been increased in unbalanced power distribution systems. Driven by this trend, comprehensive simulation tools are required to accurately analyze ...
    • Machine Learning Classifier Approach with Gaussian Process, Ensemble boosted Trees, SVM, and Linear Regression for 5G Signal Coverage Mapping 

      Gupta, Akansha; Ghanshala, Kamal; Joshi, R. C. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      This article offers a thorough analysis of the machine learning classifiers approaches for the collected Received Signal Strength Indicator (RSSI) samples which can be applied in predicting propagation loss, used for network ...
    • 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 ...
    • Machine Learning in Business Intelligence 4.0: Cost Control in a Destination Hotel 

      Sánchez-Torres, Fulgencio; González, Iván; Dobrescu, Cosmin C. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2022)
      Cost control is a recurring problem in companies where studies have provided different solutions. The main objective of this research is to propose and validate an alternative to cost control using data science to support ...
    • Machine-Learning-Based No Show Prediction in Outpatient Visits 

      Mochón, Francisco; Elvira, Carlos; Ochoa, Alberto; Gonzalvez, Juan Carlos (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2018)
      A recurring problem in healthcare is the high percentage of patients who miss their appointment, be it a consultation or a hospital test. The present study seeks patient’s behavioural patterns that allow predicting the ...