All Stories

  1. Disease prediction Machine Learning and Artificial intelligent data analysis techniques

    Article • Intelligent Data Analysis, March 2022, IOS Press

    Leila Yousefi

  2. Predicting Type 2 Diabetes Complications and Personalising Patient Using Artificial Intelligence Methodology

    Article • September 2021, IntechOpen

    Leila Yousefi

  3. Opening the black box: Personalizing type 2 diabetes patients based on their latent phenotype and temporal associated complication rules

    Article • Computational Intelligence, March 2020, Wiley

    Leila Yousefi

  4. Identifying Latent Variables in Dynamic Bayesian Networks with Bootstrapping Applied to Type 2 Diabetes Complication Prediction

    Article • February 2020, Research Square

    Leila Yousefi

  5. Opening the Black Box: Exploring Temporal Pattern of Type 2 Diabetes Complications in Patient Clustering Using Association Rules and Hidden Variable Discovery

    Article • June 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Leila Yousefi

  6. Predicting Academic Performance: A Bootstrapping Approach for Learning Dynamic Bayesian Networks

    Article • January 2019, Springer Science + Business Media

    Leila Yousefi

  7. Opening the Black Box: Discovering and Explaining Hidden Variables in Type 2 Diabetic Patient Modelling

    Article • December 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Leila Yousefi

  8. Predicting Disease Complications Using a Stepwise Hidden Variable Approach for Learning Dynamic Bayesian Networks

    Article • June 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Leila Yousefi

  9. The Prediction of Student Failure Using Classification Methods : A Case study

    Article • April 2018, Academy and Industry Research Collaboration Center (AIRCC)

    Leila Yousefi

  10. A fair spectrum sharing approach in Cognitive Radio Networks

    Article • January 2012, ACM (Association for Computing Machinery)

    Leila Yousefi