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Mohammad Teshnehlab
Mohammad Teshnehlab
Professor, Dept. of Control Engineering, K.N.Toosi University of Technology
Verified email at eetd.kntu.ac.ir - Homepage
Title
Cited by
Cited by
Year
A novel binary particle swarm optimization
MA Khanesar, M Teshnehlab, MA Shoorehdeli
2007 Mediterranean conference on control & automation, 1-6, 2007
5062007
Breast cancer diagnosis in DCE-MRI using mixture ensemble of convolutional neural networks
R Rasti, M Teshnehlab, SL Phung
Pattern Recognition 72, 381-390, 2017
2062017
Using adaptive neuro-fuzzy inference system for hydrological time series prediction
M Zounemat-Kermani, M Teshnehlab
Applied soft computing 8 (2), 928-936, 2008
2052008
Brain tumor detection using deep neural network and machine learning algorithm
M Siar, M Teshnehlab
2019 9th international conference on computer and knowledge engineering …, 2019
1922019
Identification using ANFIS with intelligent hybrid stable learning algorithm approaches and stability analysis of training methods
MA Shoorehdeli, M Teshnehlab, AK Sedigh, MA Khanesar
Applied Soft Computing 9 (2), 833-850, 2009
1772009
Parameter optimization of improved fuzzy c-means clustering algorithm for brain MR image segmentation
M Forouzanfar, N Forghani, M Teshnehlab
Engineering Applications of Artificial Intelligence 23 (2), 160-168, 2010
1722010
Extended Kalman filter based learning algorithm for type-2 fuzzy logic systems and its experimental evaluation
MA Khanesar, E Kayacan, M Teshnehlab, O Kaynak
IEEE Transactions on Industrial Electronics 59 (11), 4443-4455, 2011
1662011
Training ANFIS structure with modified PSO algorithm
VS Ghomsheh, MA Shoorehdeli, M Teshnehlab
2007 Mediterranean Conference on Control & Automation, 1-6, 2007
1492007
An anomaly detection method to detect web attacks using stacked auto-encoder
AM Vartouni, SS Kashi, M Teshnehlab
2018 6th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS), 131-134, 2018
1412018
Training ANFIS as an identifier with intelligent hybrid stable learning algorithm based on particle swarm optimization and extended Kalman filter
MA Shoorehdeli, M Teshnehlab, AK Sedigh
Fuzzy Sets and Systems 160 (7), 922-948, 2009
1352009
Best practices in E government: A review of some Innovative models proposed in different countries
SM Alhomod, MM Shafi, MN Kousarrizi, F Seiti, M Teshnehlab, H Susanto, ...
International Journal of Electrical & Computer Sciences 12 (1), 1-6, 2012
1302012
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works
D Sadeghi, A Shoeibi, N Ghassemi, P Moridian, A Khadem, ...
Computers in Biology and Medicine 146, 105554, 2022
1262022
Face recognition using convolutional neural network and simple logistic classifier
H Khalajzadeh, M Mansouri, M Teshnehlab
Soft Computing in Industrial Applications: Proceedings of the 17th Online …, 2014
1202014
Discrete binary cat swarm optimization algorithm
Y Sharafi, MA Khanesar, M Teshnehlab
2013 3rd IEEE international conference on computer, control and …, 2013
1122013
Feature extraction and classification of EEG signals using wavelet transform, SVM and artificial neural networks for brain computer interfaces
MRN Kousarrizi, ARA Ghanbari, M Teshnehlab, MA Shorehdeli, ...
2009 international joint conference on bioinformatics, systems biology and …, 2009
1092009
Analysis of the noise reduction property of type-2 fuzzy logic systems using a novel type-2 membership function
MA Khanesar, E Kayacan, M Teshnehlab, O Kaynak
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 41 …, 2011
1082011
Modified Multi-objective Particle Swarm Optimization for electromagnetic absorber design
S Chamaani, SA Mirtaheri, M Teshnehlab, MA Shoorehdeli, V Seydi
Progress In Electromagnetics Research (PIER) 79, 353–366, 2008
932008
negFIN: An efficient algorithm for fast mining frequent itemsets
N Aryabarzan, B Minaei-Bidgoli, M Teshnehlab
Expert Systems with Applications 105, 129-143, 2018
922018
Multi-view deep network: a deep model based on learning features from heterogeneous neural networks for sentiment analysis
H Sadr, MM Pedram, M Teshnehlab
IEEE access 8, 86984-86997, 2020
912020
A robust sentiment analysis method based on sequential combination of convolutional and recursive neural networks
H Sadr, MM Pedram, M Teshnehlab
Neural processing letters 50, 2745-2761, 2019
912019
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