karim faez

About karim faez

karim faez, With an exceptional h-index of 45 and a recent h-index of 24 (since 2020), a distinguished researcher at Amirkabir University of Technology, specializes in the field of Pattern Recognition, Machine Vision, Neural Networks, Computer Networks.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Novel Training Approach in Deep Spiking Neural Network Based on Fuzzy Weighting and Meta-heuristic Algorithm

Multi source deep learning method for drug-protein interaction prediction using k-mers and chaos game representation

FractalRG: Advanced Fractal Region Growing using Gaussian Mixture Models for Left Atrium Segmentation

Convolutional neural network pruning based on misclassification cost

Extension Network of Radiomics-Based Deeply Supervised U-Net (ERDU) for Prostate Image Segmentation

Fusion of tactile and visual information in deep learning models for object recognition

DEU-Net: Dual-Encoder U-Net for Automated Skin Lesion Segmentation

Drug–target interaction prediction based on protein features, using wrapper feature selection

karim faez Information

University

Position

Professor of EE Department Iran

Citations(all)

7788

Citations(since 2020)

2350

Cited By

6531

hIndex(all)

45

hIndex(since 2020)

24

i10Index(all)

192

i10Index(since 2020)

78

Email

University Profile Page

Amirkabir University of Technology

Google Scholar

View Google Scholar Profile

karim faez Skills & Research Interests

Pattern Recognition

Machine Vision

Neural Networks

Computer Networks

Top articles of karim faez

Title

Journal

Author(s)

Publication Date

A Novel Training Approach in Deep Spiking Neural Network Based on Fuzzy Weighting and Meta-heuristic Algorithm

International Journal of Computational Intelligence Systems

Melika Hamian

Karim Faez

Soheila Nazari

Malihe Sabeti

2024/2/19

Multi source deep learning method for drug-protein interaction prediction using k-mers and chaos game representation

Chemometrics and Intelligent Laboratory Systems

Hengame Abbasi Mesrabadi

Karim Faez

Jamshid Pirgazi

2024/2/5

FractalRG: Advanced Fractal Region Growing using Gaussian Mixture Models for Left Atrium Segmentation

Digital Signal Processing

Marjan Firouznia

Javad Alikhani Koupaei

Karim Faez

Aziza Saber Jabdaragh

Cigdem Gunduz-Demir

2024/2/6

Convolutional neural network pruning based on misclassification cost

The Journal of Supercomputing

Saeed Ahmadluei

Karim Faez

Behrooz Masoumi

2023/12

Extension Network of Radiomics-Based Deeply Supervised U-Net (ERDU) for Prostate Image Segmentation

Mahdi Ashtarian

Karim Faez

Marjan Firouznia

Hamidreza Amindavar

2023/5/9

Fusion of tactile and visual information in deep learning models for object recognition

Information Fusion

Reza Pebdani Babadian

Karim Faez

Mahmood Amiri

Egidio Falotico

2023/4/1

DEU-Net: Dual-Encoder U-Net for Automated Skin Lesion Segmentation

IEEE Access

Ali Karimi

Karim Faez

Soheila Nazari

2023/11/28

Drug–target interaction prediction based on protein features, using wrapper feature selection

Scientific Reports

Hengame Abbasi Mesrabadi

Karim Faez

Jamshid Pirgazi

2023/3/3

Adaptive chaotic sampling particle filter to handle occlusion and fast motion in visual object tracking

Digital Signal Processing

Marjan Firouznia

Javad Alikhani Koupaei

Karim Faez

Giuseppe A Trunfio

Hamidreza Amindavar

2023/4/15

Swin-Tempo: Temporal-Aware Lung Nodule Detection in CT Scans as Video Sequences Using Swin Transformer-Enhanced UNet

arXiv preprint arXiv:2310.03365

Hossein Jafari

Karim Faez

Hamidreza Amindavar

2023/10/5

A novel learning approach in deep spiking neural networks with multi-objective optimization algorithms for automatic digit speech recognition

The Journal of Supercomputing

Melika Hamian

Karim Faez

Soheila Nazari

Malihe Sabeti

2023/12

MTFD-Net: Left atrium segmentation in CT images through fractal dimension estimation

Pattern Recognition Letters

Aziza Saber Jabdaragh

Marjan Firouznia

Karim Faez

Fariba Alikhani

Alikhani Koupaei Javad

...

2023/8/18

SWP-LeafNET: A novel multistage approach for plant leaf identification based on deep CNN

Expert Systems with Applications

Ali Beikmohammadi

Karim Faez

Ali Motallebi

2022/9/15

Surface roughness classification in dynamic touch using EEG signals

Ali Amini

Karim Faez

Mahmood Amiri

2022/5/17

Class-incremental learning on video-based action recognition by distillation of various knowledge

Computational Intelligence and Neuroscience

Vali Ollah Maraghi

Karim Faez

2022

Sal-HMAX: An Enhanced HMAX Model in Conjunction with a Visual Attention Mechanism to Improve Object Recognition Task

IEEE Access

Zahra Sadat Shariatmadar

Karim Faez

Akbar Siami Namin

2021/11/12

A data-driven and biologically inspired preprocessing scheme to improve visual object recognition

Computational Intelligence and Neuroscience

Zahra Sadat Shariatmadar

Karim Faez

2021/1/29

Human Action Recognition in Still Image of Human Pose using Multi-Stream neural Network

Nashriyyah-i Muhandisi-i Barq va Muhandisi-i Kampyutar-i Iran

Roghayeh Yousefi

K Faez

2021/5

Research Article A Data-Driven and Biologically Inspired Preprocessing Scheme to Improve Visual Object Recognition

Zahra Sadat Shariatmadar

Karim Faez

2021

A motion parameters estimating method based on deep learning for visual blurred object tracking

IET Image Processing

Iman Iraei

Karim Faez

2021/8

See List of Professors in karim faez University(Amirkabir University of Technology)

Co-Authors

H-index: 65
Mohamed S. Kamel

Mohamed S. Kamel

University of Waterloo

H-index: 56
M. R. Meybodi

M. R. Meybodi

Amirkabir University of Technology

H-index: 43
M.Ahmadi

M.Ahmadi

University of Windsor

H-index: 38
Mohammad Hassan Moradi

Mohammad Hassan Moradi

Amirkabir University of Technology

H-index: 31
Haikal El Abed

Haikal El Abed

Technische Universität Braunschweig

H-index: 27
Payman Moallem

Payman Moallem

University of Isfahan

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