| 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 | 220 | 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 | 212 | 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 | 170 | 2011 |
| Training ANFIS structure with modified PSO algorithm VS Ghomsheh, MA Shoorehdeli, M Teshnehlab 2007 Mediterranean Conference on Control & Automation, 1-6, 2007 | 155 | 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 | 154 | 2018 |
| 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 | 135 | 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 | 118 | 2009 |
| Discrete binary cat swarm optimization algorithm Y Sharafi, MA Khanesar, M Teshnehlab 2013 3rd IEEE international conference on computer, control and …, 2013 | 117 | 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 | 107 | 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 | 102 | 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 | 94 | 2018 |
Mahdi Aliyari-Shoorehdeli (ORCID:00...Associate Professor, SMIEEE, K.N. Toosi University of Technology (ROR 0433abe34), Tehran. IRAN在 kntu.ac.ir 的电子邮件经过验证
