• An adaptive Laplacian weight random forest imputation for imbalance and mixed-type data 

      Ren, Lijuan; Seklouli, Aicha Sekhari; Zhang, Haiqing; Wang, Tao; Bouras, Abdelaziz ( Elsevier , 2023 , Article)
      As the application of information technology in the medical field is resulting in a large amount of medical data. As early withdrawal and refusal of participants, there are a lot of missing values in medical data. Although ...
    • Inconsistency detection in Islamic advisory opinions using multilevel text categorization 

      Al Otaibi, Jameela; Hassaine, Abdelali; Safi, Zeineb; Jaoua, Ali ( American Scientific Publishers , 2017 , Article)
      Inconsistency detection is a large research area that has many applications. In the scope of Islamic content mining, this topic is of a particular interest because of the continuously increasing content and the need of ...
    • Robust detection of acoustic partial discharge signals in noisy environments 

      Hussein, Ramy; Bashir Shaban, Khaled; El-Hag, Ayman H. ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      Partial discharge (PD) can be used to predict insulation failures in power transformers. Accurate detection of particular PD types has a significant role in anticipating forthcoming outages. However, the noise encountered ...
    • Sentiment analysis of islamic news data using hyper-concepts 

      Al-Kubaisi, Khalid; Hassaine, Abdelali; Jaoua, Ali ( American Scientific Publishers , 2017 , Article)
      Sentiment Analysis is the extraction of writers feeling from a written manuscript. It aims at predicting the sentiment of a particular text using automated means. There are two main ways to make predictions: (1) lexicon-based ...