Mohammad Teshnehlab

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Mahdi Aliyari-Shoorehdeli (ORCID:00...Associate Professor, SMIEEE, K.N. Toosi University of Technology (ROR 0433abe34), Tehran. IRANAdresse e-mail validée de kntu.ac.ir
Mojtaba Ahmadieh KhanesarUniversity of NottinghamAdresse e-mail validée de exmail.nottingham.ac.uk
Mohammadali NekouiAssociate Professor of Control Engineering, K N Toosi University of TechnologyAdresse e-mail validée de eetd.kntu.ac.ir
Mohammad Manthouri(aka Mansouri)Assistant Professor of Electrical and Electronic Engineering Department, Shahed universityAdresse e-mail validée de shahed.ac.ir
Arash SharifiAssistant Professor, SRBIAUAdresse e-mail validée de srbiau.ac.ir
Okyay KaynakAdresse e-mail validée de boun.edu.tr
Ali Khaki SedighProf of Control Systems at K. N. Toosi University of Technology, APAC Research GroupAdresse e-mail validée de kntu.ac.ir
Faezeh Farivar, PhD, SMIEEEAssociate Professor, Research Dean of Computer & Mechatronics Dept.,Science and Research branch, IAUAdresse e-mail validée de srbiau.ac.ir
Amir Masoud RahmaniProfessor of computer engineeringAdresse e-mail validée de yuntech.edu.tw
Keigo WatanabeSpecially Appointed Professor, Okayama UniversityAdresse e-mail validée de sys.okayama-u.ac.jp
Yousef SharafiDepartment of Computer, K. N. Toosi University of Technology, Tehran, IranAdresse e-mail validée de kntu.ac.ir
Hamid D. TaghiradProfessor and Director of Applied Robotics and AI Solutions (ARAS)Adresse e-mail validée de kntu.ac.ir
Hamid Abrishami MoghaddamProfessor of Biomedical Engineering, K.N. Toosi University of TechnologyAdresse e-mail validée de kntu.ac.ir
Farzaneh KeyvanfardAssistant Professor, K. N. Toosi University of TechnologyAdresse e-mail validée de kntu.ac.ir
Dr. Somayyeh ChamaaniAssociate Prof., K. N. Toosi University of TechnologyAdresse e-mail validée de kntu.ac.ir
S. M. Emad OliaeePhD Candidate, Control Dept., Electrical Faculty, K. N. Toosi universityAdresse e-mail validée de ee.kntu.ac.ir
Vahid SeydiUniversity of Bangor, UKAdresse e-mail validée de bangor.ac.uk

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Mohammad Teshnehlab

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

Adresse e-mail validée de eetd.kntu.ac.ir - Page d'accueil

Artificial Intelligence Intelligent Control Optimization Interval Soft Computing Deep Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	226	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	218	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	210	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	188	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	176	2010
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	173	2022
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 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	153	2018
Training ANFIS structure with modified PSO algorithm VS Ghomsheh, MA Shoorehdeli, M Teshnehlab 2007 Mediterranean Conference on Control & Automation, 1-6, 2007	153	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	140	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	133	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
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	117	2009
Discrete binary cat swarm optimization algorithm Y Sharafi, MA Khanesar, M Teshnehlab 2013 3rd IEEE international conference on computer, control and …, 2013	115	2013
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	111	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 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	101	2013
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	100	2019
negFIN: An efficient algorithm for fast mining frequent itemsets N Aryabarzan, B Minaei-Bidgoli, M Teshnehlab Expert Systems with Applications 105, 129-143, 2018	93	2018

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