Mohammad Mehdi Ebadzadeh

About Mohammad Mehdi Ebadzadeh

Mohammad Mehdi Ebadzadeh, With an exceptional h-index of 23 and a recent h-index of 17 (since 2020), a distinguished researcher at Amirkabir University of Technology, specializes in the field of Deep Reinforcement Learning, Computational Intelligence, Machine Learning, Neuroscience.

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

Stock market forecasting using DRAGAN and feature matching

Reservoir consisting of diverse dynamical behaviors and its application in time series classification

Multi-step-ahead stock price prediction using recurrent fuzzy neural network and variational mode decomposition

A hierarchical estimation of multi-modal distribution programming for regression problems

Improving the efficiency of the XCS learning classifier system using evolutionary memory

An Efficient XCS-based Algorithm for Learning Classifier Systems in Real Environments

Daily global solar radiation time series prediction using variational mode decomposition combined with multi-functional recurrent fuzzy neural network and quantile regression …

Semantic schema based genetic programming for symbolic regression

Mohammad Mehdi Ebadzadeh Information

University

Position

Professor of Computer Science

Citations(all)

2624

Citations(since 2020)

1266

Cited By

1875

hIndex(all)

23

hIndex(since 2020)

17

i10Index(all)

53

i10Index(since 2020)

30

Email

University Profile Page

Google Scholar

Mohammad Mehdi Ebadzadeh Skills & Research Interests

Deep Reinforcement Learning

Computational Intelligence

Machine Learning

Neuroscience

Top articles of Mohammad Mehdi Ebadzadeh

Title

Journal

Author(s)

Publication Date

Stock market forecasting using DRAGAN and feature matching

Expert Systems with Applications

Fateme Shahabi Nejad

Mohammad Mehdi Ebadzadeh

2024/6/15

Reservoir consisting of diverse dynamical behaviors and its application in time series classification

International Journal of Data Science and Analytics

Mohammad Modiri

Mohammad Mehdi Ebadzadeh

Mohammad Mehdi Homayounpour

2024/1

Multi-step-ahead stock price prediction using recurrent fuzzy neural network and variational mode decomposition

Applied Soft Computing

Hamid Nasiri

Mohammad Mehdi Ebadzadeh

2023/9/22

A hierarchical estimation of multi-modal distribution programming for regression problems

Knowledge-Based Systems

Mohaddeseh Koosha

Ghazaleh Khodabandelou

Mohammad Mehdi Ebadzadeh

2023/1/25

Improving the efficiency of the XCS learning classifier system using evolutionary memory

Wireless Networks

Ali Yousefi

Kambiz Badie

Mohammad Mehdi Ebadzadeh

Arash Sharifi

2023/1/23

An Efficient XCS-based Algorithm for Learning Classifier Systems in Real Environments

Journal of AI and Data Mining

Ali Yousefi

Kambiz Badie

Mohammad Mehdi Ebadzadeh

Arash Sharifi

2023/1/1

Daily global solar radiation time series prediction using variational mode decomposition combined with multi-functional recurrent fuzzy neural network and quantile regression …

Energy Reports

Mohammed Abdallah

Babak Mohammadi

Hamid Nasiri

Okan Mert Katipoğlu

Modawy Adam Ali Abdalla

...

2023/11/1

Semantic schema based genetic programming for symbolic regression

Applied Soft Computing

Zahra Zojaji

Mohammad Mehdi Ebadzadeh

Hamid Nasiri

2022/6/1

A full-featured cooperative coevolutionary memory-based artificial immune system for dynamic optimization

Applied Soft Computing

Bahareh Etaati

Zahra Ghorrati

Mohammad Mehdi Ebadzadeh

2022/3/1

A novel learning algorithm based on computing the rules’ desired outputs of a TSK fuzzy neural network with non-separable fuzzy rules

Neurocomputing

Armin Salimi-Badr

Mohammad Mehdi Ebadzadeh

2022/1/22

Reservoir weights learning based on adaptive dynamic programming and its application in time series classification

Neural Computing and Applications

Mohammad Modiri

Mohammad Mehdi Homayounpour

Mohammad Mehdi Ebadzadeh

2022/8

Adaptive explicit kernel minkowski weighted k-means

Information sciences

Amir Aradnia

Maryam Amir Haeri

Mohammad Mehdi Ebadzadeh

2022/1/1

MFRFNN: Multi-functional recurrent fuzzy neural network for chaotic time series prediction

Neurocomputing

Hamid Nasiri

Mohammad Mehdi Ebadzadeh

2022/8/8

EnTRPO: Trust region policy optimization method with entropy regularization

arXiv preprint arXiv:2110.13373

Sahar Roostaie

Mohammad Mehdi Ebadzadeh

2021/10/26

Modified Double DQN: addressing stability

arXiv preprint arXiv:2108.04115

Shervin Halat

Mohammad Mehdi Ebadzadeh

2021/8/9

Mathematical analysis of the role of pituitary-adrenal interactions in ultradian rhythms of the HPA axis

Computers in Biology and Medicine

Hamed Malek

Mohammad Mehdi Ebadzadeh

Reza Safabakhsh

Alireza Razavi

2021/8/1

Maximum Entropy Dueling Network Architecture in Atari Domain

arXiv preprint arXiv:2107.14457

Alireza Nadali

Mohammad Mehdi Ebadzadeh

2021/7/30

Entropy based dictionary learning for image classification

Pattern Recognition

Arash Abdi

Mohammad Rahmati

Mohammad M Ebadzadeh

2021/2/1

Kernel compositional embedding and its application in linguistic structured data classification

Knowledge-Based Systems

Hamed Ganji

Mohammad Mehdi Ebadzadeh

Shahram Khadivi

2020/4/22

Backpropagation-free learning method for correlated fuzzy neural networks

arXiv preprint arXiv:2012.01935

Armin Salimi-Badr

Mohammad Mehdi Ebadzadeh

2020/11/25

See List of Professors in Mohammad Mehdi Ebadzadeh University(Amirkabir University of Technology)

Co-Authors

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