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منو اصلی
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Mahdi Eftekhari
Mahdi Eftekhari
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Articles And Books
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Thesis
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Articles
Mohammadkazem Ebrahimpour, Hossein Nezamabadi-pour, Mahdi Eftekhari , CCFS A cooperating coevolution technique for large scale feature selection on microarray datasets , COMPUTATIONAL BIOLOGY AND CHEMISTRY , No. 73 , pp. 171-178 , 2018
Mohammadkazem Ebrahimpour, , Mahdi Eftekhari, Gholamreza Aghamollaei , Occam s razor in dimension reduction Using reduced row Echelon form for finding linear independent features in high dimensional microarray datasets , ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE , No. 62 , pp. 214-221 , 2017
Mohammadkazem Ebrahimpour, Mahdi Eftekhari , Distributed feature selection A hesitant fuzzy correlation concept for microarray high-dimensional datasets , CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS , No. 173 , pp. 51-64 , 2018
Sahar Sardari, Mahdi Eftekhari, Fatemeh Afsari , Hesitant fuzzy decision tree approach for highly imbalanced data classification , APPLIED SOFT COMPUTING , No. 61 , pp. 727-741 , 2017
Mohammadkazem Ebrahimpour, Mahdi Eftekhari , Ensemble of feature selection methods A hesitant fuzzy sets approach , APPLIED SOFT COMPUTING , No. 50 , pp. 300-312 , 2017
, Saeed Samet, Wolfgang Banzhaf, Mahdi Eftekhari , A New Fuzzy-Rough Hybrid Merit to Feature Selection , LECTURE NOTES IN COMPUTER SCIENCE , No. 10020 , pp. 1-23 , 2016
Mahboubeh Mahdizadeh, Mahdi Eftekhari , A Novel Cost Sensitive Imbalanced Classification Method based on New Hybrid Fuzzy Cost Assigning Approaches Fuzzy Clustering and Evolutionary Algorithms , International Journal of Engineering , No. 28 , pp. 1160-1168 , 2015
, Ali Mohebbi, Mahdi Eftekhari , Permeability estimationin heterogeneous oi lreservoirs by multi-gene genetic programming algorithm , PETROLEUM SCIENCE AND ENGINEERING , pp. 201-206 , 2014
Hojjat Allah Bazoobandi, Mahdi Eftekhari , A Differential Evolution and Spatial Distribution based Local Search for Training Fuzzy Wavelet Neural Network , International Journal of Engineering , No. 27 , pp. 1185-1194 , 2014
Mahdi Eftekhari, Malihe Maghfoori Farsangi, , Boosting Fuzzy Rules for Nonlinear System Identification Through Unscented Kalman Filter , iranian journal of electrical and computer engineering , No. 12 , pp. 49-55 , 2014
, Mahdi Eftekhari, Maryam Dehestani, Azita Tajaddini , Modeling intermolecular potential of He F2 dimer from symmetry-adapted perturbation theory using multi-gene genetic programming , Scientia Iranica , No. 20 , pp. 543-548 , 2013
, Mahdi Eftekhari, Ali Esmailizadeh Koshkoiyeh, , Quantitative trait loci mapping problem an extinction-based multi-objective evolutionary algorithm approach , Algorithms , No. 6 , pp. 546-564 , 2013
Conferences
, Mahdi Eftekhari, Ali Esmailizadeh Koshkoiyeh ,Using Multi-objective Evolutionary algorithm for solving Quantitative Trail Loci Mapping Problem ,2010/05/22 ,Iran ,
, Mahdi Eftekhari, Ali Esmailizadeh Koshkoiyeh ,2011/05/17 ,Iran ,
, Vahid Sattari-Naeini, Mahdi Eftekhari ,The 9th Symposium on Advances in Science and Technology (9thSASTech) ,2014/12/04 ,Iran ,
, Vahid Sattari-Naeini, Mahdi Eftekhari ,2014/12/18 ,Iran ,
, Esfandiar Eslami, Mahdi Eftekhari ,An Application of Hesitant Fuzzy Sets in Medical Decision Making ,12th International Conference on Modeling Decisions for Artificial Intelligence Sk vde Sweden 2015. ,2015/09/21 ,Sweden ,
Mohammadkazem Ebrahimpour, Mahdi Eftekhari ,Feature Subset Selection Using Information Energy and Correlation Coefficients of Hesitant Fuzzy Sets ,International Conference on Information and Knowledge Technology ,2015/05/26 ,Iran ,
Mohammadkazem Ebrahimpour, Mahdi Eftekhari ,Proposing a Novel Feature Selection Algorithm Based on Hesitant Fuzzy Sets and Correlation Concepts ,international symposium on Artificial intelligence and signal processing ,2015/05/03 ,Iran ,
, Mahdi Eftekhari ,Improving Rotation Forest Performance for Imbalanced Data Classification through Fuzzy Clustering ,international symposium on Artificial intelligence and signal processing ,2015/05/03 ,Iran ,
, Mahdi Eftekhari ,Using Fuzzy Undersampling and Fuzzy PCA to Improve Imbalanced Classification through Rotation Forest Algorithm ,International Symposium on Computer Science and Software Engineering ,2015/08/18 ,Iran ,
, Hamid Mirvaziri, Mahdi Eftekhari ,An intelligent key related attack using NSGA II algorithm ,symposium on Artificial Intelligence Signal Processing ,2012/05/02 ,Iran ,
, Hamid Mirvaziri, Mahdi Eftekhari ,2014/12/02 ,Iran ,
Sahar Sardari, Mahdi Eftekhari ,A Fuzzy Decision Tree Approach for Imbalanced Data Classification ,6th International Conference on Computer and Knowledge Engineering ,2016/10/20 ,Iran ,
Saeed Zeraatkar, Fatemeh Afsari, Mahdi Eftekhari ,3rd International Conference on Pattern Analysis and Image Analysis ,2017/04/19 ,Iran ,
, Mahdi Eftekhari, Zahra Karami ,Utilizing ANFIS in rotation forest for human MicroRNA target prediction ,2016/09/09 ,Iran ,
Ameneh Esmaeilirad, Hossein Nezamabadi-pour, Mahdi Eftekhari ,2017/03/07 ,Iran ,
Mehran Amiri, Richard Jensen, Mahdi Eftekhari, Parthal?in Neil Mac ,Dataset condensation using OWA fuzzy-rough set-based nearest neighbor classifier ,2016 IEEE International Conference on Fuzzy Systems ,2016/07/24 ,Canada ,
, Ali Esmailizadeh Koshkoiyeh, Mahdi Eftekhari ,2016/09/07 ,Iran ,
, Ali Esmailizadeh Koshkoiyeh, Mahdi Eftekhari ,2016/09/07 ,Iran ,
Fariba Mehranpour, Ali Esmailizadeh Koshkoiyeh, Mahdi Eftekhari, Masood Asadi Fozi ,2016/09/07 ,Iran ,
Fariba Mehranpour, Ali Esmailizadeh Koshkoiyeh, Mahdi Eftekhari, Masood Asadi Fozi ,2016/09/07 ,Iran ,
Saedeh Ghasemzadeh, Vahid Sattari-Naeini, Mahdi Eftekhari, Hassan Ghassemzadeh, Behnam Ghavami ,2018/02/28 ,Iran ,
Ameneh Esmaeilirad, Hossein Nezamabadi-pour, Mahdi Eftekhari ,Improving LAIM discretization method for multi-label data using evolution strategy ,3rd Conference on Swarm Intelligence and Evolutionary Computation ,2018/03/06 ,Iran ,
MOJTABA KHAMAR, Mahdi Eftekhari ,Generating kernel matrix for rotation forest through genetic programming ,6th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS) ,2018/02/28 ,Iran ,
Mohammad Mohtashami, Mahdi Eftekhari ,Using a Novel Merit for Feature Selection Based on Rough Set Theory ,6th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS) ,2018/02/28 ,Iran ,
Mojtaba Pirdadeh beiranvandm, Saeid Norouzi Apourvari, Saeed Jafari, Mahdi Eftekhari ,2017/10/18 ,Iran ,
Fundamentals
Hossein Nezamabadi-pour, Mahdi Eftekhari, Esmat Rashedi, Abbas Bahrololoum, masoud saeed ,2017 ,
Research Projects
Hossein Nezamabadi-pour, Mahdi Eftekhari, Esmat Rashedi, Abbas Bahrololoum, masoud saeed ,2017 ,
FirstName And Last Name
Project Name
Degree
Role
def-date
Nahid Abdolahi kermani
Auto prompt engineering : generate meta-prompts for LLMs to solve NLP tasks.
M.S
--------
Omid Davar
A Self-Supervised approach For Sentiment Analysis In Persian Language Using Graph Neural Networks
M.S
1402/11/09
Ladan Ghasemi
Predicting the Movement Patterns of Apis mellifera Using Deep Learning and Foundation Models: Implications for Behavioral Understanding
M.S
--------
Fatemeh Iranmanesh
A Self-supervised learning approach for medical imaging
M.S
1403/04/09
Mohammad Rajabghane
Improvement of unet networks for medical image segmentation
M.S
1402/06/27
Fardin Rastakhiz
Using graph and convolutional neural networks to optimize web-pages for search engines
M.S
1403/03/20
Masoumeh Shamsi Meymandi
A text clustering approach based on deep learning
M.S
--------
MohammadMahdi Taheri
Proposing structural learning methods in Graph neural networks
Ph.D
--------
-------------------
M.S
--------
Attitude of post-graduate Students of Kerman towards the information overloaded in cellphones&Web applications
M.S
1394/11/06
proposing methods for coordinating algorithmic components in memetic algorithms
M.S
1393/10/24
Proposing a Fuzzy Classifier For MiRAN Targets Prediction
M.S
1396/10/20
-------------------
M.S
1391/10/18
Proposing ensemble learning algorithms based on fuzzy methods for imbalanced classification
M.S
1394/10/02
Improving classification capability in associative classification
M.S
1390/11/11
Fuzzy Rough Set Based Feature Selection
M.S
1390/11/06
Improvement of Association Rule Extraction Algorithms Based-on Evolutionary Algorithms
M.S
1393/11/07
Consumed power Reduction Of Nano-Scale Combinational Digital Circuit Using Fuzzy Programming Approach
M.S
1395/12/22
Maryam
-------------------
M.S
--------
The role of matrix factorizations in dimension reduction
Ph.D
1398/06/09
Improving Fuzzy Decision Tree for Classification
M.S
1390/11/06
subspace learning based graph regularized feature selection
M.S
1398/06/20
-------------------
M.S
1391/06/27
Improving fuzzy Q-learning method Incorporated with optimazzation methods for Reinforcment fuzzy contorol
M.S
1393/11/07
-------------------
M.S
--------
Cuda- Enabled Feature Selection in Big Data using GPU
M.S
1393/11/07
Improving semi-supervised classification methods using fuzzy and rough sets theories
M.S
1392/11/09
Analysis and design of block ciphers using intelligent algorithms
M.S
1391/11/19
Some Hesitant Fuzzy Data Clustering Algorithms
Ph.D
1395/04/28
-------------------
M.S
1395/10/01
improving heuristic fuzzy rule extraction methods for classification and proposing a method based on clustering
M.S
1391/11/15
Improving Evolutionary Algorithms for Multimodal Optimization using fuzzy and rough techniques
M.S
1391/11/18
video encryption using DCT coefficients based on the hyper chaos theory
M.S
1391/06/28
Ranking of Association Rules by DEA
M.S
1391/06/19
Fuzzy deep neural network for data classification
M.S
1397/11/15
Behzad Ebrahimi
Proposing a method for feature selection in multi-label data based on matrix factorization
M.S
1398/04/18
Mahboubeh Ebrahimi
Soft Error Rate Reduction In Digital Circuits Using Mathematical Programming
M.S
1396/04/25
Mohammadkazem Ebrahimpour
Using hesitant and intuitionistic fuzzy sets for feature selection
M.S
1394/09/25
Ehsan Eslami
feature selection using memetic algorithms and reinforcement learning
M.S
1393/10/24
Ameneh Esmaeilirad
Data discretization for multi-label databases
M.S
1397/01/29
Hojjat Allah Bazoobandi
Improving fuzzy wavelet systems using evolutionary and local search algorithms
M.S
1392/11/09
Somayeh Bostanpira
Proposing Naive Bayes Classifier for Imbalanced Data Classification
M.S
1395/12/10
Mojtaba Pirdadeh beiranvandm
Uncertainty investigation in selecting an appropriate reservoir model in well test analyses in one of the Iranian reservoirs - A case study
M.S
1396/09/29
Mahsa Samareh jahani
the effect of orthogonality on the dimensionality reduction problem
Ph.D
1401/11/09
Mahla Hatami
Solving Multi-objective Optimization problems using fuzzy methods and memetic algorithm
M.S
1393/09/26
MOJTABA KHAMAR
Proposing a method for feature subspace learning and its application in data classification
M.S
1396/12/06
Sanaz Khajouie
Improving memetic algorithms for multimodal problems
M.S
1393/11/07
Seyed Morteza Khoshroo
Reinforcement learning Control of dynamical Systems with Uncerteinity
M.S
1397/06/17
Razieh Rastgoo
Optimization of Qos routing in smart grids using Artificial Intelligent algorithms
M.S
1393/10/09
Zahra Rajabi
Modeling of Corrosion in Reinforced Concrete Structures Using Artificial Intelligence Methods; Improving the Protective Properties of Rebar by Means of Modified Zinc Rich Coating
Ph.D
1402/06/19
Dorsa Rahmatian
Proposing a neural style transfer method using soft computing concepts
M.S
1401/06/16
Mohammad Rezaei-Ravari
Proposing a multi lable learning method using Extreme Learning Machine
M.S
1398/11/01
Saeed Zeraatkar
Proposing a Method for Imbalanced Data Classification Based on Nearest Neighbor
M.S
1395/12/14
Sahar Sardari
Proposing Fuzzy Decision Tree Based Clsssifier For Imbalanced Classification
M.S
1395/11/16
Mahdi Shariatzadeh
Image encryption using fuzzy inference systems and deep neural networks
M.S
1400/12/21
Athareh Shahabinejad
proposing an attention based method for object classification using deep networks
M.S
1400/06/18
Javad Elmi
Propering a Dynamic Selection(DS) approach in multi classifier systems
M.S
1398/11/01
Sajjad Gholami judaki
Improving Ensemble Learning Methods Using Fuzzy And Rough Sets Theories
M.S
1392/11/09
Sara Farahmandinia
Proposing a method for Domain Generalization using self supervised learning
M.S
1400/06/15
Farzane Foroutan
Improvement of unsupervised feature selection algorithms based on fuzzy approaches
M.S
1392/11/02
Saedeh Ghasemzadeh
Energy Efficinet Feature Selection in Wearable Sensor Networks
M.S
--------
Mohammad Mohtashami
Using Discretization methods and Hesitant Fuzzy Sets for Feature Selection based on Rough Sets Theory
M.S
1396/12/06
Mahsa Mohammadi
Proposing a Deep Metric Method Based on the Image and text Relation
M.S
1402/06/14
Mahla Mokhtia
proposing Hesitant Fuzzy Models for regression and classification
M.S
1398/11/01
Arezo Moradi
paralleing extreme learning machine and deep extreme learning machine for classification using GPU
M.S
1398/11/02
Monireh Moshavvash
Using self-supervised learning method for defensing against adversarial attacks
M.S
1400/06/16
Afsoon Moaaref
-------------------
M.S
1392/06/26
Mohammad Manzari Tavakkoli
accelerated intrusion detection system for software defined networks
M.S
--------
Mahboubeh Mahdizadeh
Improving imbalanced datasets classification algorithms using fuzzy methods and evolutionary algorithms
M.S
1392/10/04
Mahvash Mohazebi
Proposing a way to improve Siamese networks using soft computing concepts
M.S
1401/06/16
Fariba Mehranpour
Modeling relationship of milk production and milk composition in Holstein dairy cows using Artificial Neural Network and Genetic algorithm
M.S
1395/10/01
Nadimeh Naseri
Proposing a similarity measure based on distance of subspaces and its application to unsupervised learning
Ph.D
--------
Mohamadreza Najmedini
Proposing a Deep Metric Learning method for audio retrieval based on Transformers
M.S
--------
Houriyeh Nasiri
Proposing a Semantic Segmentation Method Of Images Using Self-supervised Learning
M.S
1400/06/17
Zahir Noorie
Feature Selection based on Sparse Learning and Side Information
M.S
1396/12/07
Name
Artificial Intelligence and Expert Systems
Artificial Intelligence
Fuzzy Sets and Systems
Machine Learning
Seminar
Special topics in artificial intelligence 1
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