Mahdi Hashemzadeh

Orcid: 0000-0003-0506-3513

According to our database1, Mahdi Hashemzadeh authored at least 26 papers between 2013 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
Addressing the class-imbalance and class-overlap problems by a metaheuristic-based under-sampling approach.
Pattern Recognit., November, 2023

FoodRecNet: a comprehensively personalized food recommender system using deep neural networks.
Knowl. Inf. Syst., September, 2023

Brain tumor segmentation and classification on MRI via deep hybrid representation learning.
Expert Syst. Appl., August, 2023

PMG-Net: Persian music genre classification using deep neural networks.
Entertain. Comput., 2023

2022
CGFFCM: A color image segmentation method based on cluster-weight and feature-weight learning.
Softw. Impacts, 2022

A Comprehensive Review on Content-Aware Image Retargeting: From Classical to State-of-the-art Methods.
Signal Process., 2022

UFS-Net: A unified flame and smoke detection method for early detection of fire in video surveillance applications using CNNs.
J. Comput. Sci., 2022

ACQC: Apollonius Circle-based Quantum Clustering.
J. Comput. Sci., 2022

A geometric-based clustering method using natural neighbors.
Inf. Sci., 2022

QDL-CMFD: A Quality-independent and deep Learning-based Copy-Move image forgery detection method.
Neurocomputing, 2022

A fully-convolutional residual encoder-decoder neural network to localize breast cancer on histopathology images.
Comput. Biol. Medicine, 2022

Smoke detection in video using convolutional neural networks and efficient spatio-temporal features.
Appl. Soft Comput., 2022

2021
A deep neural network based framework for restoring the damaged persian pottery via digital inpainting.
J. Comput. Sci., 2021

RCSMOTE: Range-Controlled synthetic minority over-sampling technique for handling the class imbalance problem.
Inf. Sci., 2021

CGFFCM: Cluster-weight and Group-local Feature-weight learning in Fuzzy C-Means clustering algorithm for color image segmentation.
Appl. Soft Comput., 2021

2019
Content-aware image resizing: An improved and shadow-preserving seam carving method.
Signal Process., 2019

Fire detection for video surveillance applications using ICA K-medoids-based color model and efficient spatio-temporal visual features.
Expert Syst. Appl., 2019

New fuzzy C-means clustering method based on feature-weight and cluster-weight learning.
Appl. Soft Comput., 2019

Retinal blood vessel extraction employing effective image features and combination of supervised and unsupervised machine learning methods.
Artif. Intell. Medicine, 2019

2018
A fast and accurate moving object tracker in active camera model.
Multim. Tools Appl., 2018

Exemplar-based facial expression recognition.
Inf. Sci., 2018

Hiding information in videos using motion clues of feature points.
Comput. Electr. Eng., 2018

2016
Combining keypoint-based and segment-based features for counting people in crowded scenes.
Inf. Sci., 2016

A Machine Vision System for Detecting Fertile Eggs in the Incubation Industry.
Int. J. Comput. Intell. Syst., 2016

2014
Counting moving people in crowds using motion statistics of feature-points.
Multim. Tools Appl., 2014

2013
Combining velocity and Location-Specific Spatial Clues in Trajectories for Counting Crowded Moving Objects.
Int. J. Pattern Recognit. Artif. Intell., 2013


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