Amol University of Special Modern Technologies
DariaTech
Rassoul Hajizadeh

Journal Papers:

  1. R. Hajizadeh, “Unconstrained neighbor selection for minimum reconstruction error-based K-NN classifiers”. Complex Intell. Syst. 2023. https://doi.org/10.1007/s40747-023-01027-1
  2. R. Hajizadeh, A. Aghagolzadeh, and M. Ezoji, " Mutual neighborhood and modified majority voting based KNN classifier for multi-categories classification", Pattern Analysis and Applications, 2022, 1-2.
  3. R. Hajizadeh, A. Aghagolzadeh, and M. Ezoji, "Fusion of LLE and Stochastic LEM for Persian Handwritten Digits Recognition", International Journal on Document Analysis and Recognition (IJDAR), Springer, 2018, Vol. 21, Issue 1-2, pp: 109-122.
  4. R. Hajizadeh, A. Aghagolzadeh, and M. Ezoji, "Mutual Neighbors and Diagonal Loading Based Sparse Locally Linear Embedding", Applied Artificial Intelligence, Taylor & Francis, 2018, Vol. 32, Issue 5, pp: 469-514.
  5. R. Hajizadeh, A. Aghagolzade, M. Ezoji, "Manifold Learning based on the Manifold Graph Construction using Sparse Representation". Journal of Iranian Association of Electrical and Electronics Engineers, 2018, Vol. 15, Issue 2, pp: 81-95, (Published in Persian)
  6. H.R. Rabiee, H. Dehbovid, R. Hajizadeh.: "A Novel Method for Power Allocation in MIMO-OFDM Systems with the Purpose of Increasing the Whole Capacity", Australian Journal of Basic and Applied Sciences, 2011, Vol. 5, Issue 5, pp: 572-579.
  7. R. Hajizadeh, A. Aghagolzadeh, and M. Ezoji, "Local Distances Preserving based Manifold Learning", Expert Systems with Applications, 2020, Vol. 139.
  8. R. Hajizadeh, K. Mohamedpor and M.R. Tarihi, “Channel Estimation in OFDM System Based on the Linear Interpolation, FFT and Decision Feedback”, 18th Telecommunications forum TELFOR Serbia Belgerad,23-25 November 2010, IEEE Indexed.
  9. Hajizadeh, Rassoul, A. Aghagolzadeh, and M. Ezoji. "Manifold based Persian digit recognition using the modified locally linear embedding and linear discriminative analysis." 2015 2nd International Conference on KnowledgeBased Engineering and Innovation (KBEI). IEEE, 201.