Mostrando ítems 1-20 de 83

    • A Diversity-Accuracy Measure for Homogenous Ensemble Selection 

      Zouggar, Taleb; Adla, A (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      Several selection methods in the literature are essentially based on an evaluation function that determines whether a model M contributes positively to boost the performances of the whole ensemble. In this paper, we propose ...
    • A Generalized Wine Quality Prediction Framework by Evolutionary Algorithms 

      Hui-Ye Chiu, Terry; Wu, Chienwen; Chen, Chun-Hao (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      Wine is an exciting and complex product with distinctive qualities that makes it different from other manufactured products. Therefore, the testing approach to determine the quality of wine is complex and diverse. Several ...
    • A Hybrid Approach for Android Malware Detection and Family Classification 

      Dhalaria, Meghna; Gandotra, Ekta (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      With the increase in the popularity of mobile devices, malicious applications targeting Android platform have greatly increased. Malware is coded so prudently that it has become very complicated to identify. The increase ...
    • A Low Cost and Computationally Efficient Approach for Occlusion Handling in Video Surveillance Systems 

      Joshi, Rakesh Chandra; Singh, Adithya Gaurav; Joshi, Mayank; Mathur, Sanjay (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2019)
      In the development of intelligent video surveillance systems for tracking a vehicle, occlusions are one of the major challenges. It becomes difficult to retain features during occlusion especially in case of complete ...
    • A Novel Fog Computing Approach for Minimization of Latency in Healthcare using Machine Learning 

      Kishor, Amit; Chakraborty, Chinmay; Jeberson, Wilson (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      In the recent scenario, the most challenging requirements are to handle the massive generation of multimedia data from the Internet of Things (IoT) devices which becomes very difficult to handle only through the cloud. Fog ...
    • A proposal for sentiment analysis on twitter for tourism-based applications 

      Guzmán De Núñez, Xiomarah Maria (1); Núñez-Valdez, Edward Rolando; Pascual Espada, Jordán; González-Crespo, Rubén (1); Garcia-Díaz, Vicente (Frontiers in Artificial Intelligence and Applications, 2018)
      People rely on other people’s opinions to make decisions, especially if they belong to their circle of trust. In addition, there are lots of websites of recognized prestige that provide people opinions about different ...
    • A real-life machine learning experience for predicting university dropout at different stages using academic data 

      Fernández-García, Antonio Jesús (1); Preciado, Juan Carlos; Melchor, Fran; Rodriguez-Echeverría, Roberto; Conejero Manzano, José María; Sánchez, Fernando (Institute of Electrical and Electronics Engineers Inc., 2021)
      High levels of school dropout are a major burden on the educational and professional development of a country's inhabitants. A country's prosperity depends, among other factors, on its ability to produce higher education ...
    • A Review of Artificial Intelligence in the Internet of Things 

      González García, Cristian; Núñez-Valdez, Edward; García-Díaz, Vicente; Pelayo G-Bustelo, Cristina; Cueva-Lovelle, Juan Manuel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)
      Humankind has the ability of learning new things automatically due to the capacities with which we were born. We simply need to have experiences, read, study… live. For these processes, we are capable of acquiring new ...
    • A Review on Intrusion Detection Systems and Techniques 

      Singh Bhati, Nitesh; Khari, Manju; García-Díaz, Vicente; Verdú, Elena (1) (International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 12/2020)
      An Intrusion Detection System (IDS) is a network security system that detects, identifies, and tracks an intruder or an invader in a network. As the usage of the internet is growing every day in our society, the IDS is ...
    • A System for Personality and Happiness Detection 

      Saez, Yago; Navarro, Carlos; Mochon, Asuncion; Isasi, Pedro (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2014)
      This work proposes a platform for estimating personality and happiness. Starting from Eysenck's theory about human's personality, authors seek to provide a platform for collecting text messages from social media (Whatsapp), ...
    • A systematic review of the effects of automatic scoring and automatic feedback in educational settings 

      Guerra Hahn, Marcelo (1); Baldiris, Silvia (1); De la Fuente-Valentin, Luis (1); Burgos, Daniel (1) (Institute of Electrical and Electronics Engineers Inc., 2021)
      Automatic scoring and feedback tools have become critical components of online learning proliferation. These tools range from multiple-choice questions to grading essays using machine learning (ML). Learning environments ...
    • Adaptive contents for interactive TV guided by machine learning based on predictive sentiment analysis of data 

      Mondragón, Victor M; García-Díaz, Vicente; Porcel, Carlos; González-Crespo, Rubén (1) (Soft Computing, 03/2017)
      This paper describes a new proposal for interactive television which is an answer to a continuous change in the traditional television as consequence of the inclusion and evolution of the digital social networks, the ...
    • Agente conversacional para búsqueda y recomendación de ofertas laborales 

      Gómez-Loizaga, Héctor Antonio (18/09/2019)
      El objetivo del presente trabajo es el desarrollo de la arquitectura y metodología utilizada por un agente conversacional para interaccionar con un usuario y extraer la información necesaria que le permita actuar como ...
    • AI4AO: The inevitable future to see the stars 

      Ramírez-Trujillo, María de la Cruz (07/2021)
      Se presenta una metodología basada en Aprendizaje Automático para solventar el problema de uso de controladores para la corrección en lazo cerrado en técnicas de Óptica Adaptativa. Se estudian varios modelos para discutir ...
    • Alzheimer Disease Detection Techniques and Methods: A Review 

      Afzal, Sitara; Maqsood, Muazzam; Khan, Umair; Mehmood, Irfan; Nawaz, Hina; Aadil, Farhan; Song, Oh-Young; Yunyoung, Nam (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      Brain pathological changes linked with Alzheimer's disease (AD) can be measured with Neuroimaging. In the past few years, these measures are rapidly integrated into the signatures of Alzheimer disease (AD) with the help ...
    • An approach to improve the accuracy of probabilistic classifiers for decision support systems in sentiment analysis 

      García-Díaz, Vicente; Pascual-Espada, Jórdan; González-Crespo, Rubén (1); Pelayo García-Bustelo, B Cristina; Cueva Lovelle, Juan Manuel (Applied Soft Computing, 05/2017)
      Social networks link people and machines, providing a huge amount of information that grows very fast without the possibility to be handled manually. Moreover, opinion mining is the process of using natural language ...
    • An Evolutionary SVM Model for DDOS Attack Detection in Software Defined Networks 

      Sahoo, Kshira Sagar; Tripathy, Bata Krishna; Naik, Kshirasagar; Ramasubbareddy, Somula; Balusamy, Balamurugan; Khari, Manju; Burgos, Daniel (1) (IEEE ACCESS, 2020)
      Software-Defined Network (SDN) has become a promising network architecture in current days that provide network operators more control over the network infrastructure. The controller, also called as the operating system ...
    • An Extensive Analysis of Machine Learning Based Boosting Algorithms for Software Maintainability Prediction 

      Gupta, Shikha; Chug, Anuradha (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Software Maintainability is an indispensable factor to acclaim for the quality of particular software. It describes the ease to perform several maintenance activities to make a software adaptable to the modified environment. ...
    • Un Análisis de Sentimiento en Twitter con Machine Learning: Identificando el sentimiento sobre las ofertas de #BlackFriday 

      Saura, José Ramón; Reyes-Menéndez, Ana; Palos-Sánchez, Pedro R (1) (Espacios, 06/2018)
      Twitter se ha convertido en una red social ideal para el análisis de audiencias y el estudio de opiniones sobre eventos y acontecimientos en tiempo real alrededor del mundo. El objetivo de esta investigación es el de ...
    • Artificial intelligence assisted intelligent planning framework for environmental restoration of terrestrial ecosystems 

      Yin, Xinzhe; Li, Jinghua; Nimer Kadry, Seifedine; Sanz Prieto, Iván (1) (Environmental Impact Assessment Review, 01/2021)
      The environmental restoration of terrestrial ecosystems helps to protect the natural world and enhances sustainable land resource development. Modern and efficient approaches for the conservation of ecological functions ...