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2020 – today
- 2022
[c11]Fatemeh Alimardani, John S. Baras:
PWA-CTM: An Extended Cell-Transmission Model based on Piecewise Affine Approximation of the Fundamental Diagram. MED 2022: 1059-1065
2010 – 2019
- 2018
- [j4]Fatemeh Alimardani
, Jae-Hyun Cho, Reza Boostani, Han-Jeong Hwang:
Classification of Bipolar Disorder and Schizophrenia Using Steady-State Visual Evoked Potential Based Features. IEEE Access 6: 40379-40388 (2018) - 2017
- [j3]Fatemeh Alimardani, Reza Boostani, Benjamin Blankertz:
Weighted spatial based geometric scheme as an efficient algorithm for analyzing single-trial EEGS to improve cue-based BCI classification. Neural Networks 92: 69-76 (2017) - [i1]Ebrahim Ansari, M. H. Sadreddini, Mostafa Sheikhalishahi, Richard Wallace, Fatemeh Alimardani:
Using English as Pivot to Extract Persian-Italian Parallel Sentences from Non-Parallel Corpora. CoRR abs/1701.08339 (2017) - 2016
- [c10]Fatemeh Alimardani, Nazanin Malekooty Rad, Reza Boostani:
An efficient approach to enhance the performance of fingerprint recognition. ICDP 2016: 1-6 - 2015
- [c9]Fatemeh Alimardani, Reza Boostani, Mahsa Taghavi:
Classification of BMD and schizophrenic patients using geometrical analysis of their EEG signal covariance matrices. TSP 2015: 1-5 - 2013
- [j2]Fatemeh Alimardani, Reza Boostani, M. Azadehdel, Ahmad Ghanizadeh, Karim Rastegar:
Presenting a new search strategy to select synchronization values for classifying bipolar mood disorders from schizophrenic patients. Eng. Appl. Artif. Intell. 26(2): 913-923 (2013) - [j1]Ebrahim Ansari, Mohammad Hadi Sadreddini, Bahram Sadeghi Bigham, Fatemeh Alimardani:
A combinatorial cooperative-tabu search feature reduction approach. Sci. Iran. 20(3): 657-662 (2013) - 2012
- [c8]Alireza Khodayari, Ali Ghaffari, Mehrdad Nouri, Saeed Salehinia, Fatemeh Alimardani:
Model Predictive Control system design for car-following behavior in real traffic flow. ICVES 2012: 87-92 - [c7]Ali Ghaffari, Alireza Khodayari, Fatemeh Alimardani, Seyyed Hossein Sadati:
MANFIS-based overtaking maneuver modeling and prediction of a Driver-Vehicle-Unit in real traffic flow. ICVES 2012: 387-392 - [c6]Ali Ghaffari, Alireza Khodayari, Ali Panahi, Fatemeh Alimardani:
Neural-network-based modeling and prediction of the future state of a Stop&Go behavior in urban areas. ICVES 2012: 399-404 - [c5]Ali Ghaffari, Fatemeh Alimardani, Alireza Khodayari:
Predicting the future state of a vehicle in a stop&go behavior based on ANFIS models design. IEEE Conf. of Intelligent Systems 2012: 368-373 - [c4]Ali Ghaffari, Ali Panahi, Alireza Khodayari, Fatemeh Alimardani:
Neural-network based modeling for stop&go behavior in real traffic flow. IEEE Conf. of Intelligent Systems 2012: 374-379 - 2011
- [c3]Ali Ghaffari, Fatemeh Alimardani, Alireza Khodayari, Seyyed Hossein Sadati:
ANFIS based modeling for overtaking maneuver trajectory in motorcycles and autos. ICCSCE 2011: 68-73 - [c2]Ali Ghaffari, Saeed Arvin, Alireza Khodayari, Fatemeh Alimardani:
An ANFIS design for prediction of future state of a vehicle in lane change behavior. ICCSCE 2011: 156-161
2000 – 2009
- 2008
- [c1]Fatemeh Alimardani, Reza Boostani, Ebrahim Ansari:
Feature Selection SDA Method in Ensemble Nearest Neighbor Classifier. CSICC 2008: 884-887
Coauthor Index
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