Javad Hamidzadeh

Orcid: 0000-0001-6493-0539

According to our database1, Javad Hamidzadeh authored at least 32 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Protecting the privacy of social network data using graph correction.
Knowl. Inf. Syst., September, 2024

FRS-SIFS: fuzzy rough set session identification and feature selection in web robot detection.
Int. J. Mach. Learn. Cybern., February, 2024

Feature selection based on correlation label and B-R belief function (FSCLBF) in multi-label data.
Soft Comput., January, 2024

Handling class imbalance and overlap with a Hesitation-based instance selection method.
Knowl. Based Syst., 2024

2023
ABT-SVDD: A method for uncertainty handling in domain adaptation using belief function theory.
Appl. Soft Comput., November, 2023

Entropy-Based Fuzzy C-Ordered-Means Clustering Algorithm.
New Gener. Comput., September, 2023

A domain adaptation method by incorporating belief function in twin quarter-sphere SVM.
Knowl. Inf. Syst., July, 2023

2021
Feature selection by using chaotic cuckoo optimization algorithm with levy flight, opposition-based learning and disruption operator.
Soft Comput., 2021

Ensemble classification for intrusion detection via feature extraction based on deep Learning.
Soft Comput., 2021

Weighted support vector machine using fuzzy rough set theory.
Soft Comput., 2021

Predicting users' preferences by Fuzzy Rough Set Quarter-Sphere Support Vector Machine.
Appl. Soft Comput., 2021

2020
Feature selection by using privacy-preserving of recommendation systems based on collaborative filtering and mutual trust in social networks.
Soft Comput., 2020

Clustering data stream with uncertainty using belief function theory and fading function.
Soft Comput., 2020

Incremental one-class classifier based on convex-concave hull.
Pattern Anal. Appl., 2020

An active multi-class classification using privileged information and belief function.
Int. J. Mach. Learn. Cybern., 2020

Combined weighted multi-objective optimizer for instance reduction in two-class imbalanced data problem.
Eng. Appl. Artif. Intell., 2020

Enhancing data analysis: uncertainty-resistance method for handling incomplete data.
Appl. Intell., 2020

2019
Belief-based chaotic algorithm for support vector data description.
Soft Comput., 2019

A hybrid method for increasing the speed of SVM training using belief function theory and boundary region.
Int. J. Mach. Learn. Cybern., 2019

Identification of uncertainty and decision boundary for SVM classification training using belief function.
Appl. Intell., 2019

2018
An Unequal Cluster-Radius Approach Based on Node Density in Clustering for Wireless Sensor Networks.
Wirel. Pers. Commun., 2018

Automatic support vector data description.
Soft Comput., 2018

Detection of Web site visitors based on fuzzy rough sets.
Soft Comput., 2018

Incremental one-class classification on stationary data stream using two-quarter sphere.
Expert Syst. J. Knowl. Eng., 2018

Improved one-class classification using filled function.
Appl. Intell., 2018

2017
Weighted support vector data description based on chaotic bat algorithm.
Appl. Soft Comput., 2017

2016
New Hermite orthogonal polynomial kernel and combined kernels in Support Vector Machine classifier.
Pattern Recognit., 2016

Large symmetric margin instance selection algorithm.
Int. J. Mach. Learn. Cybern., 2016

2015
IRAHC: Instance Reduction Algorithm using Hyperrectangle Clustering.
Pattern Recognit., 2015

2014
A density based clustering approach to distinguish between web robot and human requests to a web server.
ISC Int. J. Inf. Secur., 2014

LMIRA: Large Margin Instance Reduction Algorithm.
Neurocomputing, 2014

2012
DDC: distance-based decision classifier.
Neural Comput. Appl., 2012


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