• A Feature Selection Approach Based on Archimedes’ Optimization Algorithm for Optimal Data Classification 

      Khrissi, Lahbib; El Akkad, Nabil; Satori, Hassan; Satori, Khalid (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 01/2023)
      Feature selection is an active research area in data mining and machine learning, especially with the increase in the amount of numerical data. FS is a search strategy to find the best subset of features among a large ...
    • 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 ...
    • 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. ...
    • Automatic Irony Detection using Feature Fusion and Ensemble Classifier 

      Harish, B S; Kumar, Keerthi (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2019)
      With the advent of micro-blogging sites, users are pioneer in expressing their sentiments and emotions on global issues through text. Automatic detection and classification of sentiments like sarcastic or ironic content ...
    • Binary Multi-Verse Optimization (BMVO) Approaches for Feature Selection 

      Hans, Rahul; Kaur, Harjot (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      Multi-Verse Optimization (MVO) is one of the newest meta-heuristic optimization algorithms which imitates the theory of Multi-Verse in Physics and resembles the interaction among the various universes. In problem domains ...
    • Comparison of Feedforward Network and Radial Basis Function to Detect Leukemia 

      Bijalwan, Vishwanath; Balodhi, Meenu; Bagwari, Pragya; Saxena, Bhavya (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2017)
      Leukemia is a fast growing cancer also called as blood cancer. It normally originates near bone marrow. The need for automatic leukemia detection system rises ever since the existing working methods include labor-intensive ...
    • IMCAD: Computer Aided System for Breast Masses Detection based on Immune Recognition 

      Djamila, Hamdadou; Belkhodja, Leila (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      Computer Aided Detection (CAD) systems are very important tools which help radiologists as a second reader in detecting early breast cancer in an efficient way, specially on screening mammograms. One of the challenging ...
    • SVM and ANN Based Classification of Plant Diseases Using Feature Reduction Technique 

      D. Pujari, Jagadeesh; Yakkundimath, Rajesh; Syedhusain Byadgi, Abdulmunaf (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
      Computers have been used for mechanization and automation in different applications of agriculture/horticulture. The critical decision on the agricultural yield and plant protection is done with the development of expert ...