Reza Ebrahimpour - Publications

Affiliations: 
Computer Engineering Shahid Rajaee Teacher Training University 

47 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
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  0.695
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  0.335
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  0.329
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  0.332
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  0.462
2019 Vafaei S, Esmaily J, Azizi Z, Ebrahimpour R. Neuroscience. PMID 30904664 DOI: 10.1016/J.Neuroscience.2019.03.031  0.341
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  0.751
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  0.366
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  0.368
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  0.354
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  0.325
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  0.758
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  0.756
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  0.736
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  0.407
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  0.316
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  0.485
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  0.45
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  0.432
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  0.369
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  0.376
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  0.355
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  0.318
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  0.376
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  0.47
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  0.489
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  0.349
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  0.35
2012 Tabassian M, Ghaderi R, Ebrahimpour R. Combination of multiple diverse classifiers using belief functions for handling data with imperfect labels Expert Systems With Applications. 39: 1698-1707. DOI: 10.1016/J.Eswa.2011.06.061  0.302
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  0.329
2012 Masoudnia S, Ebrahimpour R. Mixture of experts: a literature survey Artificial Intelligence Review. 42: 275-293. DOI: 10.1007/S10462-012-9338-Y  0.314
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  0.361
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  0.39
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  0.366
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  0.338
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  0.322
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  0.35
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  0.31
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  0.338
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  0.67
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  0.387
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  0.397
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  0.343
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