Mohammad Teshnehlab

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Mahdi Aliyari-Shoorehdeli (ORCID:00...Associate Professor, SMIEEE, K.N. Toosi University of Technology (ROR 0433abe34), Tehran. IRANDirección de correo verificada de kntu.ac.ir
Mojtaba Ahmadieh KhanesarUniversity of NottinghamDirección de correo verificada de exmail.nottingham.ac.uk
Mohammadali NekouiAssociate Professor of Control Engineering, K N Toosi University of TechnologyDirección de correo verificada de eetd.kntu.ac.ir
Mohammad Manthouri(aka Mansouri)Assistant Professor of Electrical and Electronic Engineering Department, Shahed universityDirección de correo verificada de shahed.ac.ir
Arash SharifiAssistant Professor, SRBIAUDirección de correo verificada de srbiau.ac.ir
Okyay KaynakDirección de correo verificada de boun.edu.tr
Ali Khaki SedighProf of Control Systems at K. N. Toosi University of Technology, APAC Research GroupDirección de correo verificada de kntu.ac.ir
Faezeh Farivar, PhD, SMIEEEAssociate Professor, Research Dean of Computer & Mechatronics Dept.,Science and Research branch, IAUDirección de correo verificada de srbiau.ac.ir
Amir Masoud RahmaniProfessor of computer engineeringDirección de correo verificada de yuntech.edu.tw
Keigo WatanabeSpecially Appointed Professor, Okayama UniversityDirección de correo verificada de sys.okayama-u.ac.jp
Yousef SharafiDepartment of Computer, K. N. Toosi University of Technology, Tehran, IranDirección de correo verificada de kntu.ac.ir
Hamid D. TaghiradProfessor and Director of Applied Robotics and AI Solutions (ARAS)Dirección de correo verificada de kntu.ac.ir
Hamid Abrishami MoghaddamProfessor of Biomedical Engineering, K.N. Toosi University of TechnologyDirección de correo verificada de kntu.ac.ir
Farzaneh KeyvanfardAssistant Professor, K. N. Toosi University of TechnologyDirección de correo verificada de kntu.ac.ir
Dr. Somayyeh ChamaaniAssociate Prof., K. N. Toosi University of TechnologyDirección de correo verificada de kntu.ac.ir
S. M. Emad OliaeePhD Candidate, Control Dept., Electrical Faculty, K. N. Toosi universityDirección de correo verificada de ee.kntu.ac.ir
Vahid SeydiUniversity of Bangor, UKDirección de correo verificada de bangor.ac.uk

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Mohammad Teshnehlab

Professor, Dept. of Control Engineering, K.N.Toosi University of Technology

Dirección de correo verificada de eetd.kntu.ac.ir - Página principal

Artificial Intelligence Intelligent Control Optimization Interval Soft Computing Deep Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
A novel binary particle swarm optimization MA Khanesar, M Teshnehlab, MA Shoorehdeli 2007 Mediterranean conference on control & automation, 1-6, 2007	529	2007
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	228	2019
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	221	2017
Using adaptive neuro-fuzzy inference system for hydrological time series prediction M Zounemat-Kermani, M Teshnehlab Applied soft computing 8 (2), 928-936, 2008	208	2008
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	186	2009
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	180	2010
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	169	2011
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	163	2022
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	156	2018
Training ANFIS structure with modified PSO algorithm VS Ghomsheh, MA Shoorehdeli, M Teshnehlab 2007 Mediterranean Conference on Control & Automation, 1-6, 2007	150	2007
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	138	2009
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	130	2012
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	121	2014
Discrete binary cat swarm optimization algorithm Y Sharafi, MA Khanesar, M Teshnehlab 2013 3rd IEEE international conference on computer, control and …, 2013	114	2013
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	113	2009
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	112	2011
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	106	2020
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	101	2019
A novel cat swarm optimization algorithm for unconstrained optimization problems M Orouskhani, Y Orouskhani, M Mansouri, M Teshnehlab International Journal of Information Technology and Computer Science 5 (11 …, 2013	96	2013
negFIN: An efficient algorithm for fast mining frequent itemsets N Aryabarzan, B Minaei-Bidgoli, M Teshnehlab Expert Systems with Applications 105, 129-143, 2018	95	2018

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