Hamed Malek

Assistant Professor

Update: 2024-11-21

Hamed Malek

Computer Science and Engineering / Artificial Intelligence, Robotics, and Cognitive Computing

Journal Paper

  1. "Early Detection of Acute Kidney Injury in Catastrophic Incidents through Machine Learning Approaches"
    Pooria Poorsarvi Tehrani, Hamed Malek
    emergency,
  2. "Early Detection of Acute Kidney Injury in Catastrophic Inci- dents through Machine Learning Approaches"
    Hamed Malek
    emergency,
  3. "Hybrid self-attention NEAT: a novel evolutionary self-attention approach to improve the NEAT algorithm in high dimensional inputs"
    Saman Khamesian, Hamed Malek
    Evolving Systems, Vol. 15, pp.489-503, 2023
  4. "Interpretable ensemble deep learning model for early detection of Alzheimer's disease using local interpretable model?agnostic explanations"
    Atefe Aghaei, Mohsen Ebrahimi Moghaddam, Hamed Malek
    INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, Vol. 32, pp.1889-1902, 2022
  5. "RecoMed: A knowledge-aware recommender system for hypertension medications"
    Maryam Sajde, Hamed Malek, Mehran Mohsenzadeh
    Informatics in Medicine Unlocked, Vol. 30, 2022
  6. "Mathematical analysis of the role of pituitary-adrenal interactions in ultradian rhythms of the HPA axis"
    Hamed Malek, Mohammad Mehdi Ebadzadeh, Reza Safabakhsh, Alireza Razavi
    COMPUTERS IN BIOLOGY AND MEDICINE, Vol. 135, 2021
  7. "Determining the Need for Computed Tomography Scan Following Blunt Chest Trauma through Machine Learning Approaches"
    Mohsen Shahverdy kondori, Hamed Malek
    Archives of Academic Emergency Medicine, Vol. 9, 2021
  8. "Early Detection of Rhabdomyolysis-Induced Acute Kidney Injury through Machine Learning Approaches"
    Pooria Poorsarvi Tehrani, Hamed Malek
    Archives of Academic Emergency Medicine, Vol. 9, 2021
  9. "Learning Document Image Features With SqueezeNet Convolutional Neural Network"
    Mohammad Hassanpour, Hamed Malek
    International Journal of Engineering, Vol. 33, pp.1201-1207, 2020
  10. "Applications of Machine Learning Approaches in Emergency Medicine; a Review Article"
    Negin Shafaf, Hamed Malek
    Archives of Academic Emergency Medicine, Vol. 7, 2019