Listar 2018 por título 

Listar 2018 por título

Mostrando ítems 1-20 de 51

    • A Bibliometric Overview of the International Journal of Interactive Multimedia and Artificial Intelligence 

      Herrera-Viedma, Enrique; Baier-Fuentes, Hugo; Cascón-Katchadourian, Jesús; Merigó, José; Martínez, M A (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2018)
      The International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI) published its first issue ten years ago. Currently, IJIMAI is indexed in the important database Emerging Sources Citation Index. This ...

    • A New Feature Selection Method based on Intuitionistic Fuzzy Entropy to Categorize Text Documents 

      Harish, B S; Revanasiddappa, M B (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2018)
      Selection of highly discriminative feature in text document plays a major challenging role in categorization. Feature selection is an important task that involves dimensionality reduction of feature matrix, which in turn ...

    • A Novel Smart Grid State Estimation Method Based on Neural Networks 

      Abdel-Nasser, Mohamed; Mahmoud, Karar; Kashef, Heba (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2018)
      The rapid development in smart grids needs efficient state estimation methods. This paper presents a novel method for smart grid state estimation (e.g., voltages, active and reactive power loss) using artificial neural ...

    • A Study on Persuasive Technologies: The Relationship between User Emotions, Trust and Persuasion 

      Ahmad, Wan Nooraishya Wan; Ali, Nazlena Mohamad (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2018)
      A successful persuasive technology is able to persuade people to change from one state to a more well known state. Therefore, to allow for a change, persuasive technology must be able to affect users’ emotion and make the ...

    • An Adapted Approach for User Profiling in a Recommendation System: Application to Industrial Diagnosis 

      Taghezout, Noria; Benkaddour, Fatima Zohra; Kaddour-Ahmed, Fatima Zahra; Hammadi, Ilyes-Ahmed (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2018)
      In this paper, we propose a global architecture of a recommender tool, which represents a part of an existing collaborative platform. This tool provides diagnostic documents for industrial operators. The recommendation ...

    • An Evolutionary Approach for Learning Opponent's Deadline and Reserve Points in Multi-Issue Negotiation 

      Ayachi, R; Bouhani, H; Amor, Ben (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2018)
      The efficiency of automated multi-issue negotiation depends on the available information about the opponent. In a competitive negotiation environment, agents do not reveal their parameters to their opponents in order to ...

    • An Integrated Learning Analytics Approach for Virtual Vocational Training Centers 

      Klamma, Ralf; Lange, de Peter; Neumann, Alexander Tobias; Nicolaescu, Petru (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2018)
      Virtual training centers are hosted solutions for the implementation of training courses in the form of e.g. Webinars. Many existing centers neglect the informal and social dimension of vocational training as well as the ...

    • Applying Bayesian Regularization for Acceleration of Levenberg-Marquardt based Neural Network Training 

      Suliman, Azizah; Omarov, Batyrkhan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2018)
      Neural network is widely used for image classification problems, and is proven to be effective with high successful rate. However one of its main challenges is the significant amount of time it takes to train the network. ...

    • Big Data and Health Economics: Opportunities, Challenges and Risks 

      Bodas-Sagi, Diego; Labeaga, José (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2018)
      Big Data offers opportunities in many fields. Healthcare is not an exception. In this paper we summarize the possibilities of Big Data and Big Data technologies to offer useful information to policy makers. In a world with ...

    • Big Data and Public Health Systems: Issues and Opportunities 

      Rojas, David; Carnicero, Javier (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2018)
      Over the last years, the need for changing the current model of European public health systems has been repeatedly addressed, in order to ensure their sustainability. Following this line, IT has always been referred to as ...

    • Building Phrase Polarity Lexicons for Sentiment Analysis 

      Dehkharghani, Rahim (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2018)
      Many approaches to sentiment analysis benefit from polarity lexicons. Most polarity lexicons include a list of polar (positive/negative) words, and sentiment analysis systems attempt to capture the occurrence of those words ...

    • Comparison of Clustering Algorithms for Learning Analytics with Educational Datasets 

      Martínez Navarro, Álvaro; Moreno-Ger, Pablo (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2018)
      Learning Analytics is becoming a key tool for the analysis and improvement of digital education processes, and its potential benefit grows with the size of the student cohorts generating data. In the context of Open ...

    • Conceptual Model Development of Big Data Analytics Implementation Assessment Effect on Decision-Making 

      Adrian, Cecilia; Abdullah, Rusli; Atan, Rodziah; Jusoh, Yusmadi Yah (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2018)
      The significance of big data advancement has benefited various organizations to leverage the potential insights and capabilities of big data in organizational performance and decision-making. However, the analytics outcome ...

    • DataCare: Big Data Analytics Solution for Intelligent Healthcare Management 

      Saez, Yago; Baldominos Gómez, Alejandro; Rada, Fernando (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2018)
      This paper presents DataCare, a solution for intelligent healthcare management. This product is able not only to retrieve and aggregate data from different key performance indicators in healthcare centers, but also to ...

    • Development of a Predictive Model for Induction Success of Labour 

      Pruenza, Cristina; Teurón, María; Lechuga, Luis; Díaz, Julia; González, Ana (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2018)
      Induction of the labour process is an extraordinarily common procedure used in some pregnancies. Obstetricians face the need to end a pregnancy, for medical reasons usually (maternal or fetal requirements) or less frequently, ...

    • Development of Injuries Prevention Policies in Mexico: A Big Data Approach 

      Cantón Croda, Rosa María; Gibaja Romero, Damián Emilio (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2018)
      Considering that Mexican injuries prevention strategies have been focused on injuries caused by car accidents and gender violence, a whole analysis of the injuries registered are performed in this paper to have a wider ...

    • Diabetes Diagnosis by Case-Based Reasoning and Fuzzy Logic 

      Atmani, Baghdad; Benamina, Mohammed; Benbelkacem, Sofia (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2018)
      In the medical field, experts’ knowledge is based on experience, theoretical knowledge and rules. Case-based reasoning is a problem-solving paradigm which is based on past experiences. For this purpose, a large number of ...

    • EEG Signal Analysis of Writing and Typing between Adults with Dyslexia and Normal Controls 

      Perera, Perera, Harshani Harshani; Shiratuddin, Mohd Fairuz; Wong, Kok Wai; Fullarton, Kelly (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2018)
      EEG is one of the most useful techniques used to represent behaviours of the brain and helps explore valuable insights through the measurement of brain electrical activity. Hence, plays a vital role in detecting neurological ...

    • EVEN-VE: Eyes Visibility Based Egocentric Navigation for Virtual Environments 

      Ullah, S; Raees, M (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2018)
      Navigation is one of the 3D interactions often needed to interact with a synthetic world. The latest advancements in image processing have made possible gesture based interaction with a virtual world. However, the speed ...

    • Exploratory Boosted Feature Selection and Neural Network Framework for Depression Classification 

      Arun, Vanishri; Krishna, Murali; Arunkumar, B V; Padma, S K; Shyam (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2018)
      Depression is a burdensome psychiatric disease common in low and middle income countries causing disability, morbidity and mortality in late life. In this study, we demonstrate a novel approach for detection of depression ...