| Year |
Citation |
Score |
| 2023 |
Mokari-Mahallati M, Ebrahimpour R, Bagheri N, Karimi-Rouzbahani H. Deeper neural network models better reflect how humans cope with contrast variation in object recognition. Neuroscience Research. PMID 36681154 DOI: 10.1016/j.neures.2023.01.007 |
0.74 |
|
| 2022 |
Sadeghnejad N, Ezoji M, Ebrahimpour R, Zabbah S. Resolving the neural mechanism of core object recognition in space and time: A computational approach. Neuroscience Research. PMID 36502958 DOI: 10.1016/j.neures.2022.12.002 |
0.356 |
|
| 2021 |
Farzmahdi A, Fallah F, Rajimehr R, Ebrahimpour R. Task-dependent neural representations of visual object categories. The European Journal of Neuroscience. PMID 34480766 DOI: 10.1111/ejn.15440 |
0.695 |
|
| 2021 |
Merrikhi Y, Shams-Ahmar M, Karimi-Rouzbahani H, Clark K, Ebrahimpour R, Noudoost B. Dissociable Contribution of Extrastriate Responses to Representational Enhancement of Gaze Targets. Journal of Cognitive Neuroscience. 1-14. PMID 34407189 DOI: 10.1162/jocn_a_01750 |
0.714 |
|
| 2021 |
Karimi MH, Ebrahimpour R, Bagheri N. A Recurrent Temporal Model for Semantic Levels Categorization Based on Human Visual System. Computational Intelligence and Neuroscience. 2021: 8895579. PMID 34012465 DOI: 10.1155/2021/8895579 |
0.35 |
|
| 2021 |
Heidari-Gorji H, Ebrahimpour R, Zabbah S. A temporal hierarchical feedforward model explains both the time and the accuracy of object recognition. Scientific Reports. 11: 5640. PMID 33707537 DOI: 10.1038/s41598-021-85198-2 |
0.328 |
|
| 2020 |
Azemati H, Jam F, Ghorbani M, Dehmer M, Ebrahimpour R, Ghanbaran A, Emmert-Streib F. The Role of Symmetry in the Aesthetics of Residential Building Façades Using Cognitive Science Methods Symmetry. 12: 1438. DOI: 10.3390/Sym12091438 |
0.333 |
|
| 2019 |
Tohidi-Moghaddam M, Zabbah S, Olianezhad F, Ebrahimpour R. Sequence-dependent sensitivity explains the accuracy of decisions when cues are separated with a gap. Attention, Perception & Psychophysics. PMID 31292942 DOI: 10.3758/S13414-019-01810-8 |
0.346 |
|
| 2019 |
Rajaei K, Mohsenzadeh Y, Ebrahimpour R, Khaligh-Razavi SM. Beyond core object recognition: Recurrent processes account for object recognition under occlusion. Plos Computational Biology. 15: e1007001. PMID 31091234 DOI: 10.1371/Journal.Pcbi.1007001 |
0.455 |
|
| 2019 |
Vafaei S, Esmaily J, Azizi Z, Ebrahimpour R. Neuroscience. PMID 30904664 DOI: 10.1016/J.Neuroscience.2019.03.031 |
0.338 |
|
| 2019 |
Karimi-Rouzbahani H, Vahab E, Ebrahimpour R, Menhaj MB. Spatiotemporal Analysis of Category and Target-related Information Processing in the Brain during Object Detection. Behavioural Brain Research. PMID 30654124 DOI: 10.1016/J.Bbr.2019.01.025 |
0.747 |
|
| 2019 |
Arani SAAA, Kabir E, Ebrahimpour R. Handwritten Farsi Word Recognition Using NN-Based Fusion of HMM Classifiers with Different Types of Features International Journal of Image and Graphics. 19: 1950001. DOI: 10.1142/S0219467819500013 |
0.362 |
|
| 2018 |
Fallah F, Ebrahimpour R. The Time Course of Visual Processing on Different Levels of Object Categorization with the Same Stimulus: A Behavioral Study The Neuroscience Journal of Shefaye Khatam. 6: 41-50. DOI: 10.29252/Shefa.6.2.41 |
0.386 |
|
| 2018 |
Rajaei K, Mohsenzadeh Y, Ebrahimpour R, Khaligh Razavi SM. The essential role of recurrent processing during object recognition under occlusion Journal of Vision. 18: 906. DOI: 10.1167/18.10.906 |
0.345 |
|
| 2018 |
Abbaszadeh Arani SAA, Kabir E, Ebrahimpour R. Combining RtL and LtR HMMs to recognise handwritten Farsi words of small‐ and medium‐sized vocabularies Iet Computer Vision. 12: 925-932. DOI: 10.1049/Iet-Cvi.2017.0645 |
0.323 |
|
| 2017 |
Karimi-Rouzbahani H, Bagheri N, Ebrahimpour R. Invariant object recognition is a personalized selection of invariant features in humans, not simply explained by hierarchical feed-forward vision models. Scientific Reports. 7: 14402. PMID 29089520 DOI: 10.1038/S41598-017-13756-8 |
0.756 |
|
| 2017 |
Karimi-Rouzbahani H, Bagheri N, Ebrahimpour R. Hard-wired feed-forward visual mechanisms of the brain compensate for affine variations in object recognition. Neuroscience. PMID 28245990 DOI: 10.1016/J.Neuroscience.2017.02.050 |
0.759 |
|
| 2017 |
Karimi-Rouzbahani H, Bagheri N, Ebrahimpour R. Average activity, but not variability, is the dominant factor in the representation of object categories in the brain. Neuroscience. PMID 28088488 DOI: 10.1016/J.Neuroscience.2017.01.002 |
0.73 |
|
| 2016 |
Farzmahdi A, Rajaei K, Ghodrati M, Ebrahimpour R, Khaligh-Razavi SM. A specialized face-processing model inspired by the organization of monkey face patches explains several face-specific phenomena observed in humans. Scientific Reports. 6: 25025. PMID 27113635 DOI: 10.1038/Srep25025 |
0.408 |
|
| 2014 |
Zahiri J, Mohammad-Noori M, Ebrahimpour R, Saadat S, Bozorgmehr JH, Goldberg T, Masoudi-Nejad A. LocFuse: human protein-protein interaction prediction via classifier fusion using protein localization information. Genomics. 104: 496-503. PMID 25458812 DOI: 10.1016/J.Ygeno.2014.10.006 |
0.311 |
|
| 2014 |
Ghodrati M, Rajaei K, Ebrahimpour R. The importance of visual features in generic vs. specialized object recognition: a computational study. Frontiers in Computational Neuroscience. 8: 78. PMID 25202259 DOI: 10.3389/Fncom.2014.00078 |
0.483 |
|
| 2014 |
Ghodrati M, Farzmahdi A, Rajaei K, Ebrahimpour R, Khaligh-Razavi SM. Feedforward object-vision models only tolerate small image variations compared to human. Frontiers in Computational Neuroscience. 8: 74. PMID 25100986 DOI: 10.3389/Fncom.2014.00074 |
0.454 |
|
| 2014 |
Zabbah S, Rajaei K, Mirzaei A, Ebrahimpour R, Khaligh-Razavi SM. The impact of the lateral geniculate nucleus and corticogeniculate interactions on efficient coding and higher-order visual object processing. Vision Research. 101: 82-93. PMID 24911515 DOI: 10.1016/J.Visres.2014.05.006 |
0.445 |
|
| 2014 |
Kheradpisheh SR, Nowzari-Dalini A, Ebrahimpour R, Ganjtabesh M. An evidence-based combining classifier for brain signal analysis. Plos One. 9: e84341. PMID 24392125 DOI: 10.1371/Journal.Pone.0084341 |
0.357 |
|
| 2014 |
Kheradpisheh SR, Sharifizadeh F, Nowzari-Dalini A, Ganjtabesh M, Ebrahimpour R. Mixture of feature specified experts Information Fusion. 20: 242-251. DOI: 10.1016/J.Inffus.2014.02.006 |
0.368 |
|
| 2013 |
Mirzaei A, Khaligh-Razavi SM, Ghodrati M, Zabbah S, Ebrahimpour R. Predicting the human reaction time based on natural image statistics in a rapid categorization task. Vision Research. 81: 36-44. PMID 23419619 DOI: 10.1016/J.Visres.2013.02.003 |
0.367 |
|
| 2013 |
Javadi M, Arani SAAA, Sajedin A, Ebrahimpour R. Classification of ECG arrhythmia by a modular neural network based on Mixture of Experts and Negatively Correlated Learning Biomedical Signal Processing and Control. 8: 289-296. DOI: 10.1016/J.Bspc.2012.10.005 |
0.314 |
|
| 2013 |
Ahangi A, Karamnejad M, Mohammadi N, Ebrahimpour R, Bagheri N. Multiple classifier system for EEG signal classification with application to brain-computer interfaces Neural Computing and Applications. 23: 1319-1327. DOI: 10.1007/S00521-012-1074-3 |
0.362 |
|
| 2012 |
Rajaei K, Khaligh-Razavi SM, Ghodrati M, Ebrahimpour R, Shiri Ahmad Abadi ME. A stable biologically motivated learning mechanism for visual feature extraction to handle facial categorization. Plos One. 7: e38478. PMID 22719892 DOI: 10.1371/Journal.Pone.0038478 |
0.476 |
|
| 2012 |
Ghodrati M, Khaligh-Razavi SM, Ebrahimpour R, Rajaei K, Pooyan M. How can selection of biologically inspired features improve the performance of a robust object recognition model? Plos One. 7: e32357. PMID 22384229 DOI: 10.1371/Journal.Pone.0032357 |
0.491 |
|
| 2012 |
Tabassian M, Ghaderi R, Ebrahimpour R. Combining complementary information sources in the Dempster–Shafer framework for solving classification problems with imperfect labels Knowledge-Based Systems. 27: 92-102. DOI: 10.1016/J.Knosys.2011.10.010 |
0.343 |
|
| 2012 |
Homaeinezhad M, Atyabi S, Tavakkoli E, Toosi H, Ghaffari A, Ebrahimpour R. ECG arrhythmia recognition via a neuro-SVM–KNN hybrid classifier with virtual QRS image-based geometrical features Expert Systems With Applications. 39: 2047-2058. DOI: 10.1016/J.Eswa.2011.08.025 |
0.343 |
|
| 2012 |
Masoudnia S, Ebrahimpour R, Arani SAAA. Combining features of negative correlation learning with mixture of experts in proposed ensemble methods Applied Soft Computing. 12: 3539-3551. DOI: 10.1016/J.Asoc.2012.07.022 |
0.326 |
|
| 2012 |
Masoudnia S, Ebrahimpour R. Mixture of experts: a literature survey Artificial Intelligence Review. 42: 275-293. DOI: 10.1007/S10462-012-9338-Y |
0.311 |
|
| 2011 |
Javadi M, Ebrahimpour R, Sajedin A, Faridi S, Zakernejad S. Improving ECG classification accuracy using an ensemble of neural network modules. Plos One. 6: e24386. PMID 22046232 DOI: 10.1371/Journal.Pone.0024386 |
0.36 |
|
| 2011 |
Ebrahimpour R, Izadi F, Bahiraei S. Global-Based Eigenspaces with Mixture of Experts for View-Independent Face Recognition using Different Representations International Journal of Applied Research On Information Technology and Computing. 2: 1. DOI: 10.5958/J.0975-8070.2.2.007 |
0.386 |
|
| 2011 |
Ebrahimpour R, Sarhangi S, Javadi M, Sharifizadeh F. Handwritten Word Recognition by Multiple Classifiers: A Divide-and-Conquer Approach International Journal of Applied Research On Information Technology and Computing. 2: 9. DOI: 10.5958/J.0975-8070.2.1.002 |
0.365 |
|
| 2011 |
Homaeinezhad MR, Tavakkoli E, Atyabi SA, Ghaffari A, Ebrahimpour R. Synthesis of multiple-type classification algorithms for robust heart rhythm type recognition: Neuro-svm-pnn learning machine with virtual QRS image-based geometrical features Scientia Iranica. 18: 423-431. DOI: 10.1016/J.Scient.2011.05.033 |
0.332 |
|
| 2011 |
Tabassian M, Ghaderi R, Ebrahimpour R. Knitted fabric defect classification for uncertain labels based on Dempster–Shafer theory of evidence Expert Systems With Applications. 38: 5259-5267. DOI: 10.1016/J.Eswa.2010.10.032 |
0.314 |
|
| 2011 |
Ebrahimpour R, Arani SAAA, Masoudnia S. Improving combination method of NCL experts using gating network Neural Computing and Applications. 22: 95-101. DOI: 10.1007/S00521-011-0746-8 |
0.307 |
|
| 2010 |
Ebrahimpour R, Amiri A, Nazari M, Hajiany A. Robust Model for Signature Recognition Based on Biological Inspired Features International Journal of Computer and Electrical Engineering. 622-626. DOI: 10.7763/Ijcee.2010.V2.202 |
0.346 |
|
| 2010 |
Ebrahimpour R, Esmkhani A, Faridi S. Farsi handwritten digit recognition based on mixture of RBF experts Ieice Electronics Express. 7: 1014-1019. DOI: 10.1587/Elex.7.1014 |
0.349 |
|
| 2009 |
Ebrahimpour R, Sarmadi H. A New Approach to Combine Classifiers Trained by NCL International Journal of Digital Content Technology and Its Applications. 3: 80-84. DOI: 10.4156/Jdcta.Vol3.Issue4.8 |
0.309 |
|
| 2009 |
Ebrahimpour R, Moradian MR, Esmkhani A, Jafarlou FM. Recognition of Persian handwritten digits using Characterization Loci and Mixture of Experts International Journal of Digital Content Technology and Its Applications. 3: 42-46. DOI: 10.4156/Jdcta.Vol3.Issue3.5 |
0.334 |
|
| 2008 |
Ebrahimpour R, Kabir E, Esteky H, Yousefi MR. View-independent face recognition with Mixture of Experts Neurocomputing. 71: 1103-1107. DOI: 10.1016/J.Neucom.2007.08.021 |
0.667 |
|
| 2008 |
Ebrahimpour R, Kabir E, Yousefi MR. Teacher-directed learning in view-independent face recognition with mixture of experts using single-view eigenspaces Journal of the Franklin Institute. 345: 87-101. DOI: 10.1016/J.Jfranklin.2007.06.004 |
0.384 |
|
| 2008 |
Ebrahimpour R, Kabir E, Yousefi MR. Teacher-directed learning in view-independent face recognition with mixture of experts using overlapping eigenspaces Computer Vision and Image Understanding. 111: 195-206. DOI: 10.1016/J.Cviu.2007.10.003 |
0.395 |
|
| 2007 |
Ebrahimpour R, Kabir E, Yousefi MR. Face Detection Using Mixture of MLP Experts Neural Processing Letters. 26: 69-82. DOI: 10.1007/S11063-007-9043-Z |
0.34 |
|
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