1.	F. Olianejad, S. Zabbah, M. Tohidi and R. Ebrahimpour Residual Information of Previous Decision Affects Evidence Accumulation in Current Decision Frontiers in Behavioral Neuroscience (2019),   [abstract]

2.	H. Karimi-rouzbehani, E. Vahab, R. Ebrahimpour and M. Menhaj Spatiotemporal analysis of category and target-related information processing in the brain during object detection Behavioural Brain Research 362 (2019), 224-239  [abstract]

3.	A. Abbaszadeh Arani, E. Kabir and R. Ebrahimpour Combining RtL and LtR HMMs to recognise handwritten Farsi words of small- and medium-sized vocabularies IET Computer Vision 12 (2018), 925-932  [abstract]

4.	Y. Merrikhi, R. Ebrahimpour and A. Daliri Perceptual manifestations of auditory modulation during speech planning Experimental Brain Research (2018),   [abstract]

5.	K. Rajaei, Y. Mohsenzadeh, R. Ebrahimpour and S.M. Khaligh Razavi The essential role of recurrent processing during object recognition under occlusion ( In: 18th Annual Vision Sciences Society Meeting, being held May 18th - May 23rd, 2018 in St. Pete Beach, Florida, USA.) [abstract]

6.	Y. Merrikhi, R. Ebrahimpour and A. Daliri Perceptual manifestations of auditory modulation during speech planning ( In: SFN 2017) [abstract]

7.	H. Karimi-Rouzbahani, N. Bagheri and R. Ebrahimpour Invariant object recognition is a personalized selection of invariant features in humans, not simply explained by hierarchical feed-forward vision models Scientific Reports (Accepted) [abstract]

8.	S. Moini, B. Alizadeh, M. Emad and R. Ebrahimpour A Resource-Limited Hardware Accelerator for Convolutional Neural Networks in Embedded Vision Applications IEEE Transactions on Circuits and Systems II (2017),   [abstract]

9.	H. Karimi-Rouzbahani, N. Bagheri and R. Ebrahimpour Average activity, but not variability, is the dominant factor in the representation of object categories in the brain Neuroscience 346 (2017), 14-28  [abstract]

10.	H. Karimi-Rouzbahani, N. Bagheri and R. Ebrahimpour Hard-wired feed-forward visual mechanisms of the brain compensate for affine variations in object recognition Neuroscience 349 (2017), 48-63  [abstract]

11.	H. Karimi-Rouzbahani, R. Ebrahimpour and N. Bagheri Role of Feed-forward ventral visual cortex in compensating for different variations in core object recognition ( In: 10th Federation of European Neuroscience (FENS), Copenhagen, Denmark, 2016.) [abstract]

12.	A. Farzmahdi, K. Rajaei, M. Ghodrati, R. Ebrahimpour and S. Khaligh-Razavi A specialized face-processing model inspired by the organization of monkey face patches explains several face-specific phenomena observed in humans Scientific Reports 6 (2016), 1-17  [abstract]

13.	H. Heidari-Gorji, S. Zabbah, M. Akhavan, N. Bagheri and R. Ebrahimpour STDP based HAMX behavior in response to homogeneous and heterogeneous categories ( In: Bernstein Conference 2015) [abstract]

14.	M. Shams-Ahmar, H. Karimi, M. Parsa, R. Ebrahimpour and B. Noudoost Contributions of response magnitude and variability to the presaccadic enhancement of visual representations ( In: SfN2015, Chicago) [abstract]

15.	S. Kheradpisheh, F. Sharifzadeh, A. Nowzari-Dalini, M. Ganjtabesh and R. Ebrahimpour Mixture of feature specified experts Information Fusion 20 (2014), 242-251  [abstract]

16.	S. Kheradpisheh, A. Nowzari-Dalini, R. Ebrahimpour and M. Ganjtabesh An Evidence-Based combining classifier for brain signal analysis Plos One 9 (2014), 1-16  [abstract]

17.	M. Ghodrati, K. Rajaei and R. Ebrahimpour The importance of visual features in generic vs. specialized object recognition: a computational study Frontiers in Computational Neuroscience (2014), 1-15  [abstract]

18.	M. Ghodrati, A. Farzmahdi, K. Rajaei, R. Ebrahimpour and M. Khaligh-Razavi Feedforward object-vision models only tolerate small image variations compared to human Frontiers in Computational Neuroscience 8 (2014), 1-17  [abstract]

19.	S. zabbah, K. Rajaei, A. Mirzaei, R. Ebrahimpour and M. Khaligh-Razavi The impact of the lateral geniculate nucleus and corticogeniculate interactions on efficient coding and higher-order visual object processing Vision Research 101 (2014), 82-93  [abstract]

20.	A. Ahangi, M. Karamnejad, N. Mohammadi, R. Ebrahimpour and N. Bagheri Multiple classifier system for EEG signal classification with application to brain–computer interfaces Neural Computing and Applications 23 (2013), 1319-1327  [abstract]

21.	S.R. Kheradpisheh, F. Behjati-Ardakani and R. Ebrahimpour Combining classifiers using nearest decision prototypes Applied Soft Computing 13 (2013), 4570-4578  [abstract]

22.	R. Ebrahimpour, A. Abbaszadeh and S. Masoudnia Improving combination method of NCL experts using gating network Neural Computing & Applications 22 (2013), 95-101  [abstract]

23.	R. Ebrahimpour, N. Sadeghnejad, S. Abbaszadeh Arani and N. Mohammadi Boost-wise pre-loaded mixture of experts for classification tasks Neural Computing & Applications 22 (2013), 365-377  [abstract]

24.	. Mirzaei, . Khaligh-Razavi, . Ghodrati, . Zabbah and . Ebrahimpour Predicting the human reaction time based on natural image statistics in a rapid categorization task Vision Research 81 (2013), 36-44  [abstract]

25.	. Rajaei, . Khaligh-Razavi, . Ghodrati, . Ebrahimpour and . Shiri Ahmad Abadi A stable biologically motivated learning mechanism for visual feature extraction to handle facial categorization Plos One 7 (2012), 1-12  [abstract]

26.	R. Ebrahimpour, R. Rasoolinejad, Z. Hajiabdolhasani and M. Ebrahimi Vanishing point detection in corridors: using Hough transform and K-means clustering IET Comput. Vis 6 (2012), 40-51  [abstract]

27.	M. Ghodrati, M. Khaligh-Razavi, R. Ebrahimpour, K. Rajaei and M. Pooyan How can selection of biologically inspired features improve the performance of a robust object recognition model? Plos One 7 (2012), 1-15  [abstract]

28.	R. Ebrahimpour, A. Sajedin and Z. Moussavi A bio-inspired computational neural model for illustration face and car expertise effect on the gateway to the right FFA International Journal of Innovative Computing, Information and Control 8 (2012), 3451-3466  [abstract]

29.	M. Tabassian, R. Ghaderi and R. Ebrahimpour Combining complementary information sources in the dempster-shafer framework for solving classification problems with imperfect labels Knowledge-Based Systems 27 (2012), 92-102  [abstract]

30.	M. Tabassian, R. Ghaderi and R. Ebrahimpour Combination of multiple diverse classifiers using belief functions for handling data with imperfect labels Expert Systems with Applications 39 (2012), 1698-1707  [abstract]

31.	M.R. Homaeinezhad, E. Tavakkoli, S.A. Atyabi, A. Ghaffari and R. Ebrahimpour 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 (2011), 423-431  [abstract]

32.	M. Javadi, R. Ebrahimpour, A. Sajedin, S. Faridi and S. Zakernejad Improving ECG classification accuracy using an ensemble of neural network modules Plos One 6 (2011), 1-13  [abstract]

33.	M. Tabassian, R. Ghaderi and R. Ebrahimpour Handling classification problems with imperfect labels using an evidence-based neural network ensemble IJICIC 7 (2011), 7051-7066  [abstract]

34.	M. Tabassian, R. Ghaderi and R. Ebrahimpour Knitted fabric defect classification for uncertain labels based on Dempster-Shafer theory of evidence Expert Systems with Applications 38 (2011), 5259-5267  [abstract]

35.	R. Ebrahimpour, E. Kabir and M. Yousefi Improving mixture of experts for view-independent face recognition using teacher-directed learning Machine Vision & Applications 22 (2011), 421-432  [abstract]

36.	R. Ebrahimpour, A. Esmkhani and S. Faridi Farsi handwritten digit recognition based on mixture of RBF experts IEICE Electronics Express 7 (2010), 1014-1019  [abstract]

37.	M. Tabassian, R. Ghaderi and R. Ebrahimpour Combining Neural Networks Based on Dempster-Shafer Theory for Classifying Data with Imperfect Labels Lecture Notes in Artificial Intelligent 6438 (2010), 233-244  [abstract]

38.	S. Masoudnia, M. Rostami, M. Tabassian, A. Sajedin and R. Ebrahimpour Evidence-Based Mixture of MLP-Experts ( In: International joint conference on neural networks 2010) [abstract]

39.	Z. Moussavi, K. Zarei and R. Ebrahimpour Improving classification performance with focus on the complex areas Lecture Notes in Computer Science 5901 (2010), 612-626  [abstract]

40.	Z. Farhoudi and R. Ebrahimpour Using biologically inspired visual features and mixture of experts for face/nonface recognition Lecture Notes in Computer Science 5864 (2009), 439-448  [abstract]

41.	R. Ebrahimpour , E. Kabir and M.R. Yousefi Teacher-Directed Learning in View-independent Face Recognition with Mixture of Experts Using Overlapping Eigenspaces COMPUT VIS IMAGE UND 111 (2008), 195-206  [abstract]

42.	R. Ebrahimpour, E. Kabir, H. Esteky and M. Yousefi A mixture of multilayer perceptron experts network for modeling face/nonface recognition in cortical face processing regions Intelligent Automation and Soft Computi 14 (2008), 151-162  [abstract]

43.	R. Ebrahimpour, E. Kabir, H. Esteky and M. Yousefi View-independent Face Recognition with Mixture of Experts Neurocomputing 71 (2008), 1103-1107  [abstract]

44.	R. Ebrahimpour, E. Kabir and M.R. Yousefi Teacher-Directed Learning in View-independent Face Recognition with Mixture of Experts Using Single-view Eigenspaces journal of the Franklin institute-engineering and applied mathematics 345 (2008), 81-101  [abstract]

45.	M. Avanaki and R. Ebrahimpour In-service video quality measurements in optical fiber links based on neural network Neural Network World 5 (2007), 457-468  [abstract]

46.	R. Ebrahimpour, E. Kabir and M.R. Yousefi View-Based Eigenspaces with Mixture of Experts for View-Independent Face Recognition Lecture Notes in Computer Science 4472 (2007), 131-140  [abstract]

47.	R. Ebrahimpour, E. Kabir and M.R. Yousefi Face Detection Using Mixture of MLP Experts Neural Processing Letters 26 (2007), 69-82  [abstract]

48.	R. Ebrahimpour, E. Kabir and M.R. Yousefi Teacher-Directed Learning with Mixture of Experts for View-independent Face Recognition Lecture Notes in Computer Science 4362 (2007), 601-611  [abstract]

49.	R. Ebrahimpour, M.R. Yousefi, H. Esteky and E. Kabir Object recognition: Computational Theories and Models ( In: 11th International CSI Computer Conference (CSICC'2006)) [abstract]

50.	S.H.N. Karizi, R. Ebrahimpour and E. Kabir Using Combining Classifiers for Farsi Handwritten Digit Recognition ( In: The 3rd Conference on Machine Vision, Image Processing and applications (MVIP)) [abstract]

51.	R. Ebrahimpour, S.R. Ehteram and E. Kabir Face Recognition by Multiple Classifiers, a Divide-and-Conquer Approach LECT NOTES ARTIF INT 3683 (2005), 225-232  [abstract]

52.	R. Ebrahimpour, M. Mazloom and C. Lucas Face Recognition: An Ensemble Neural Network with Co-Evolutionary Algorithm Approach ( In: 2nd IEEE-GCC Conference) [abstract]

53.	M. Shams Esfand Abadi, A. Mahlooji Far, E. Kabir and R. Ebrahimpour Adaptive Channel Equalization using Fasteuclidean Direction Search Algorithm ( In: 2nd IEEE-GCC Conference) [abstract]

54.	B. Mohabbati, R. Ebrahimpour, S. Kasaei and E. Kabir Neural Networks Ensembles for Face Recognition ( In: International workshop on Computer Vision) [abstract]