Saeed Reza Kheradpisheh

About Saeed Reza Kheradpisheh

Saeed Reza Kheradpisheh, With an exceptional h-index of 13 and a recent h-index of 12 (since 2020), a distinguished researcher at Shahid Beheshti University, specializes in the field of Spiking Neural Networks, Deep Learning, Computational Neuroscience.

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

Self-Supervised Contrastive Learning In Spiking Neural Networks

Automated segmentation of lesions and organs at risk on [68Ga]Ga-PSMA-11 PET/CT images using self-supervised learning with Swin UNETR

EEG Anomaly Detection using Generative Adversarial Networks (GANs)

An improved imperialist competitive algorithm for solving an inverse form of the Huxley equation

Spike time displacement-based error backpropagation in convolutional spiking neural networks

Stock market prediction by combining CNNs trained on multiple time frames

Meta-Learning in Spiking Neural Networks with Reward-Modulated STDP

Imbalance factor: a simple new scale for measuring inter-class imbalance extent in classification problems

Saeed Reza Kheradpisheh Information

University

Position

___

Citations(all)

2764

Citations(since 2020)

2522

Cited By

1071

hIndex(all)

13

hIndex(since 2020)

12

i10Index(all)

15

i10Index(since 2020)

13

Email

University Profile Page

Google Scholar

Saeed Reza Kheradpisheh Skills & Research Interests

Spiking Neural Networks

Deep Learning

Computational Neuroscience

Top articles of Saeed Reza Kheradpisheh

Title

Journal

Author(s)

Publication Date

Self-Supervised Contrastive Learning In Spiking Neural Networks

Yeganeh Bahariasl

Saeed Reza Kheradpisheh

2024/3/6

Automated segmentation of lesions and organs at risk on [68Ga]Ga-PSMA-11 PET/CT images using self-supervised learning with Swin UNETR

Cancer Imaging

Elmira Yazdani

Najme Karamzadeh-Ziarati

Seyyed Saeid Cheshmi

Mahdi Sadeghi

Parham Geramifar

...

2024/2/29

EEG Anomaly Detection using Generative Adversarial Networks (GANs)

Niloofar Sedighian Bidgoli

Saeed Reza Kheradpisheh

Hadi Farahani

2024/2/21

An improved imperialist competitive algorithm for solving an inverse form of the Huxley equation

Measurement and Control

Kunkun Peng

Xudong Deng

Chunjiang Zhang

Quan-Ke Pan

Liang Ren

...

2020/11

Spike time displacement-based error backpropagation in convolutional spiking neural networks

Neural Computing and Applications

Maryam Mirsadeghi

Majid Shalchian

Saeed Reza Kheradpisheh

Timothée Masquelier

2023/7

Stock market prediction by combining CNNs trained on multiple time frames

Nader Nemati

Hadi Farahani

Saeed Reza Kheradpisheh

2023/6/8

Meta-Learning in Spiking Neural Networks with Reward-Modulated STDP

arXiv e-prints

Arsham Gholamzadeh Khoee

Alireza Javaheri

Saeed Reza Kheradpisheh

Mohammad Ganjtabesh

2023/6

Imbalance factor: a simple new scale for measuring inter-class imbalance extent in classification problems

Knowledge and Information Systems

Mohsen Pirizadeh

Hadi Farahani

Saeed Reza Kheradpisheh

2023/10

DS4NN: Direct training of deep spiking neural networks with single spike-based temporal coding

AUT Journal of Electrical Engineering

Majid Shalchian

Maryam Mirsadeghi

Saeed Reza Kheradpisheh

2023/2/27

Automatic Cadastral Boundary Detection of Very High Resolution Images Using Mask R-CNN

arXiv preprint arXiv:2309.16708

Neda Rahimpour Anaraki

Alireza Azadbakht

Maryam Tahmasbi

Hadi Farahani

Saeed Reza Kheradpisheh

...

2023/8/17

Avid: A Variational Inference Deliberation For Meta-Learning

Alireza Javaheri

Saeed Reza Kheradpisheh

Hadi Farahani

Arsham Gholamzadeh Khoee

Mohammad Ganjtabesh

2022/11/17

Multipath vit ocr: A lightweight visual transformer-based license plate optical character recognition

Alireza Azadbakht

Saeed Reza Kheradpisheh

Hadi Farahani

2022/11/17

Drastically Reducing the Number of Trainable Parameters in Deep CNNs by Inter-layer Kernel-sharing

arXiv preprint arXiv:2210.14151

Alireza Azadbakht

Saeed Reza Kheradpisheh

Ismail Khalfaoui-Hassani

Timothée Masquelier

2022/10/23

BioLCNet: Reward-Modulated Locally Connected Spiking Neural Networks

Hafez Ghaemi

Erfan Mirzaei

Mahbod Nouri

Saeed Reza Kheradpisheh

2022/9/19

Spiking neural networks trained via proxy

IEEE Access

Saeed Reza Kheradpisheh

Maryam Mirsadeghi

Timothée Masquelier

2022/6/29

STiDi-BP: Spike time displacement based error backpropagation in multilayer spiking neural networks

Neurocomputing

Maryam Mirsadeghi

Majid Shalchian

Saeed Reza Kheradpisheh

Timothée Masquelier

2021/2/28

BS4NN: Binarized spiking neural networks with temporal coding and learning

Neural Processing Letters

Saeed Reza Kheradpisheh

Maryam Mirsadeghi

Timothée Masquelier

2021/11/10

Temporal backpropagation for spiking neural networks with one spike per neuron

International Journal of Neural Systems

Saeed Reza Kheradpisheh

Timothée Masquelier

2020

See List of Professors in Saeed Reza Kheradpisheh University(Shahid Beheshti University)

Co-Authors

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