Search Results for author: Mohammad Bagher Menhaj

Found 4 papers, 1 papers with code

SFE: A Simple, Fast and Efficient Feature Selection Algorithm for High-Dimensional Data

1 code implementation17 Mar 2023 Behrouz Ahadzadeh, Moloud Abdar, Fatemeh Safara, Abbas Khosravi, Mohammad Bagher Menhaj, Ponnuthurai Nagaratnam Suganthan

The results obtained indicate that the two proposed algorithms significantly outperform the other algorithms, and can be used as efficient and effective algorithms in selecting features from high-dimensional datasets.

feature selection

A cognitive based Intrusion detection system

no code implementations19 May 2020 Siamak Parhizkari, Mohammad Bagher Menhaj, Atena Sajedin

Intrusion detection is one of the important mechanisms that provide computer networks security.

Clustering Dimensionality Reduction +2

High Accuracy Classification of White Blood Cells using TSLDA Classifier and Covariance Features

no code implementations12 Jun 2019 Hamed Talebi, Amin Ranjbar, Alireza Davoudi, Hamed Gholami, Mohammad Bagher Menhaj

The prominent component in blood cancer diagnosis is white blood cells (WBCs) which due to its general characteristics in microscopic images sometimes make difficulties in recognition and classification tasks such as non-uniform colors/illuminances, different shapes, sizes, and textures.

Clustering General Classification

A Framework for learning multi-agent dynamic formation strategy in real-time applications

no code implementations1 Aug 2014 Mehrab Norouzitallab, Valiallah Monajjemi, Saeed Shiry Ghidary, Mohammad Bagher Menhaj

Due to distributed and complex nature of many multi-agent systems, it is impossible to include all features directly in the learning process; thus, a modular scheme is proposed in order to reduce the number of features.

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