• 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 ...
    • Comparativa de técnicas Machine Learning sobre comportamiento de pago de clientes con cuentas por cobrar 

      Pesantez-Chuqui, Martha Cecilia (19/09/2019)
      El presente proyecto tiene como objetivo identificar el algoritmo con mayor exactitud usando una comparativa de técnicas de Machine Learning para detectar el comportamiento de pago de clientes con cuentas por cobrar con ...
    • 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 ...
    • Enhancing big data feature selection using a hybrid correlation-based feature selection 

      Mohamad, Masurah; Selamat, Ali; Krejcar, Ondrej; González-Crespo, Rubén (1); Herrera-Viedma, Enrique; Fujita, Hamido (2021)
      This study proposes an alternate data extraction method that combines three well-known feature selection methods for handling large and problematic datasets: the correlation-based feature selection (CFS), best first search ...
    • 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 ...