Papers in Journals
| # | Paper Title | Authors | Journal | Published At |
|---|---|---|---|---|
| 21 | Refractory Poisson: The Effect of the Refractory Period on Neural Rate Coding | Mohammad Nasiraee, Hussain Montazery Kordy, Seyed-Javad Kazemitabar | IEEE TRANSACTIONS ON COMMUNICATIONS | 2025 |
| 22 | Utilizing Normalized Mutual Information as a Similarity Measure for EEG and fMRI Fusion | Zahra Rabiei, Hussain Montazery Kordy | Journal of Electrical and Computer Engineering Innovations (JECEI) | 2025 |
| 23 | Generalized Coupled Matrix Tensor Factorization Method Based on Normalized Mutual Information for Simultaneous EEG-fMRI Data Analysis | Zahra Rabiei, Hussain Montazery Kordy | NEUROINFORMATICS | 2025 |
| 24 | Human Gesture Recognition Using Multifractal Detrended Fluctuation Analysis and Surface Electromyography | Abolfazl Hajihashme, Farideh Ebrahimi Khalesari, Hussain Montazery Kordy, F. Shahbazi | International Journal of Engineering | 2025 |
| 25 | A review of critical challenges in MI-BCI: From conventional to deep learning methods | Zahra Khademi, Farideh Ebrahimi Khalesari, Hussain Montazery Kordy | JOURNAL OF NEUROSCIENCE METHODS | 2023 |
| 26 | A review of critical challenges in MI-BCI: From conventional to deep learning methods | Zahra Khademi, Farideh Ebrahimi Khalesari, Hussain Montazery Kordy | JOURNAL OF NEUROSCIENCE METHODS | 2023 |
| 27 | A review of critical challenges in MI-BCI: From conventional to deep learning methods | Zahra Khademi, Farideh Ebrahimi Khalesari, Hussain Montazery Kordy | JOURNAL OF NEUROSCIENCE METHODS | 2023 |
| 28 | A review of critical challenges in MI-BCI: From conventional to deep learning methods | Zahra Khademi, Farideh Ebrahimi Khalesari, Hussain Montazery Kordy | JOURNAL OF NEUROSCIENCE METHODS | 2023 |
| 29 | A review of critical challenges in MI-BCI: From conventional to deep learning methods | Zahra Khademi, Farideh Ebrahimi Khalesari, Hussain Montazery Kordy | JOURNAL OF NEUROSCIENCE METHODS | 2023 |
| 30 | A review of critical challenges in MI-BCI: From conventional to deep learning methods | Zahra Khademi, Farideh Ebrahimi Khalesari, Hussain Montazery Kordy | JOURNAL OF NEUROSCIENCE METHODS | 2023 |
| 31 | Capacity per Unit Cost-Achieving Input Distribution of Rated-Inverse Gaussian Biological Neuron | Mohammad Nasiraee, Hussain Montazery Kordy, Seyed-Javad Kazemitabar | IEEE TRANSACTIONS ON COMMUNICATIONS | 2022 |
| 32 | Developing machine learning-based models to predict intrauterine insemination (IUI) success by address modeling challenges in imbalanced data and providing modification solutions for them | Sajad Khodabandelu, Zahra Basirat, Sara Khaleghi, Soraya Khafri, Hussain Montazery Kordy, Masoumeh Golsorkhtabaramiri | BMC Medical Informatics and Decision Making | 2022 |
| 33 | Developing machine learning-based models to predict intrauterine insemination (IUI) success by address modeling challenges in imbalanced data and providing modification solutions for them | Sajad Khodabandelu, Zahra Basirat, Sara Khaleghi, Soraya Khafri, Hussain Montazery Kordy, Masoumeh Golsorkhtabaramiri | BMC Medical Informatics and Decision Making | 2022 |
| 34 | Capacity per Unit Cost-Achieving Input Distribution of Rated-Inverse Gaussian Biological Neuron | Mohammad Nasiraee, Hussain Montazery Kordy, Seyed-Javad Kazemitabar | IEEE TRANSACTIONS ON COMMUNICATIONS | 2022 |
| 35 | Capacity per Unit Cost-Achieving Input Distribution of Rated-Inverse Gaussian Biological Neuron | Mohammad Nasiraee, Hussain Montazery Kordy, Seyed-Javad Kazemitabar | IEEE TRANSACTIONS ON COMMUNICATIONS | 2022 |
| 36 | A transfer learning-based CNN and LSTM hybrid deep learning model to classify motor imagery EEG signals | Zahra Khademi, Farideh Ebrahimi Khalesari, Hussain Montazery Kordy | COMPUTERS IN BIOLOGY AND MEDICINE | 2022 |
| 37 | Capacity per Unit Cost-Achieving Input Distribution of Rated-Inverse Gaussian Biological Neuron | Mohammad Nasiraee, Hussain Montazery Kordy, Seyed-Javad Kazemitabar | IEEE TRANSACTIONS ON COMMUNICATIONS | 2022 |
| 38 | A transfer learning-based CNN and LSTM hybrid deep learning model to classify motor imagery EEG signals | Zahra Khademi, Farideh Ebrahimi Khalesari, Hussain Montazery Kordy | COMPUTERS IN BIOLOGY AND MEDICINE | 2022 |
| 39 | Developing machine learning-based models to predict intrauterine insemination (IUI) success by address modeling challenges in imbalanced data and providing modification solutions for them | Sajad Khodabandelu, Zahra Basirat, Sara Khaleghi, Soraya Khafri, Hussain Montazery Kordy, Masoumeh Golsorkhtabaramiri | BMC Medical Informatics and Decision Making | 2022 |
| 40 | A transfer learning-based CNN and LSTM hybrid deep learning model to classify motor imagery EEG signals | Zahra Khademi, Farideh Ebrahimi Khalesari, Hussain Montazery Kordy | COMPUTERS IN BIOLOGY AND MEDICINE | 2022 |
Showing 21-40 of 72 items.