Mohammad Teshnehlab

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Mahdi Aliyari-Shoorehdeli (ORCID:00...Associate Professor, SMIEEE, K.N. Toosi University of Technology (ROR 0433abe34), Tehran. IRANPotvrđena adresa e-pošte na kntu.ac.ir
Mojtaba Ahmadieh KhanesarUniversity of NottinghamPotvrđena adresa e-pošte na exmail.nottingham.ac.uk
Mohammadali NekouiAssociate Professor of Control Engineering, K N Toosi University of TechnologyPotvrđena adresa e-pošte na eetd.kntu.ac.ir
Mohammad Manthouri(aka Mansouri)Assistant Professor of Electrical and Electronic Engineering Department, Shahed universityPotvrđena adresa e-pošte na shahed.ac.ir
Arash SharifiAssistant Professor, SRBIAUPotvrđena adresa e-pošte na srbiau.ac.ir
Okyay KaynakPotvrđena adresa e-pošte na boun.edu.tr
Ali Khaki SedighProf of Control Systems at K. N. Toosi University of Technology, APAC Research GroupPotvrđena adresa e-pošte na kntu.ac.ir
Faezeh Farivar, PhD, SMIEEEAssociate Professor, Head of Computer & Mechatronics Dept., Science and Research branch, IAUPotvrđena adresa e-pošte na srbiau.ac.ir
Amir Masoud RahmaniProfessor of computer engineeringPotvrđena adresa e-pošte na yuntech.edu.tw
Keigo WatanabeSpecially Appointed Professor, Okayama UniversityPotvrđena adresa e-pošte na sys.okayama-u.ac.jp
Yousef SharafiDepartment of Computer, K. N. Toosi University of Technology, Tehran, IranPotvrđena adresa e-pošte na kntu.ac.ir
Hamid D. TaghiradProfessor and Director of Applied Robotics and AI Solutions (ARAS)Potvrđena adresa e-pošte na kntu.ac.ir
Hamid Abrishami MoghaddamProfessor of Biomedical Engineering, K.N. Toosi University of TechnologyPotvrđena adresa e-pošte na kntu.ac.ir
Farzaneh KeyvanfardAssistant Professor, K. N. Toosi University of TechnologyPotvrđena adresa e-pošte na kntu.ac.ir
Dr. Somayyeh ChamaaniAssociate Prof., K. N. Toosi University of TechnologyPotvrđena adresa e-pošte na kntu.ac.ir
S. M. Emad OliaeePhD Candidate, Control Dept., Electrical Faculty, K. N. Toosi universityPotvrđena adresa e-pošte na ee.kntu.ac.ir
Vahid SeydiUniversity of Bangor, UKPotvrđena adresa e-pošte na bangor.ac.uk

Prati

Mohammad Teshnehlab

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

Potvrđena adresa e-pošte na eetd.kntu.ac.ir - Početna stranica

Artificial Intelligence Intelligent Control Optimization Interval Soft Computing Deep Learning


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
A novel binary particle swarm optimization MA Khanesar, M Teshnehlab, MA Shoorehdeli 2007 Mediterranean conference on control & automation, 1-6, 2007	517	2007
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	216	2017
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	207	2019
Using adaptive neuro-fuzzy inference system for hydrological time series prediction M Zounemat-Kermani, M Teshnehlab Applied soft computing 8 (2), 928-936, 2008	206	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	182	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	177	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	167	2011
Training ANFIS structure with modified PSO algorithm VS Ghomsheh, MA Shoorehdeli, M Teshnehlab 2007 Mediterranean Conference on Control & Automation, 1-6, 2007	149	2007
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	145	2018
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	143	2022
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	137	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	127	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	120	2014
Discrete binary cat swarm optimization algorithm Y Sharafi, MA Khanesar, M Teshnehlab 2013 3rd IEEE international conference on computer, control and …, 2013	113	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	110	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	109	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	100	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	98	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	94	2018
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	91	2013

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