• Analyzing the EEG Signals in Order to Estimate the Depth of Anesthesia using Wavelet and Fuzzy Neural Networks 

      Esmaeilpour, Mansour; Mohammadi, Ali Reis Ali (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2016)
      Estimating depth of Anesthesia in patients with the objective to administer the right dosage of drug has always attracted the attention of specialists. To study Anesthesia, researchers analyze brain waves since this is the ...
    • Evaluating the Emotional State of a User Using a Webcam 

      Magdin, Martin; Turcani, Milan; Hudec, Lukas (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2016)
      In online learning is more difficult for teachers identify to see how individual students behave. Student’s emotions like self-esteem, motivation, commitment, and others that are believed to be determinant in student’s ...
    • Segmentation-free Word Spotting for Handwritten Arabic Documents 

      Khaissidi, Ghizlane; Elfakir, Youssef; Mrabti, Mostafa; El Yacoubi, Mounîm; Chenouni, Driss (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2016)
      In this paper we present an unsupervised segmentation-free method for spotting and searching query, especially, for images documents in handwritten Arabic, for this, Histograms of Oriented Gradients (HOGs) are used as the ...
    • Statistical Comparisons of the Top 10 Algorithms in Data Mining for Classification Task 

      Settouti, Nesma; El Amine Bechar, Mohammed; Amine Chikh, Mohammed (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2016)
      This work is builds on the study of the 10 top data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) community in December 2006. We address the same study, but with the application ...