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Reza Ebrahimpour
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  • “Reza Ebrahimpour”

    Email: 
     
     

    IPM Positions

    Resident Researcher, School of Cognitive Sciences
    (2008 - Present )

    Past IPM Positions

    Vice Head, School of Cognitive Sciences
    (2014 - 2016)

    Ph.D. Student, School of Cognitive Sciences
    (2002 - 2007)



    Non IPM Affiliations

    Visiting Assistant Professor of Shahid Rajaee University, Department of Computer Engineering

    Research Interests

    - Computational and Cognitive Neuroscience
    - Human and Machine Vision
    - Biological Object Recognition
    - Brain Machine Interface
    - Neural Computation

    Related Papers

    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]   
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