| 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 |
|
| Low-probability matches (unlikely to be authored by this person) |
| 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 |
0.299 |
|
| 2011 |
Ebrahimpour R, Nikoo H, Masoudnia S, Yousefi MR, Ghaemi MS. Mixture of MLP-experts for trend forecasting of time series: A case study of the Tehran stock exchange International Journal of Forecasting. 27: 804-816. DOI: 10.1016/J.Ijforecast.2010.02.015 |
0.297 |
|
| 2019 |
Olianezhad F, Zabbah S, Tohidi-Moghaddam M, Ebrahimpour R. Residual Information of Previous Decision Affects Evidence Accumulation in Current Decision. Frontiers in Behavioral Neuroscience. 13: 9. PMID 30804764 DOI: 10.3389/Fnbeh.2019.00009 |
0.295 |
|
| 2018 |
Merrikhi Y, Ebrahimpour R, Daliri A. Perceptual manifestations of auditory modulation during speech planning. Experimental Brain Research. PMID 29713756 DOI: 10.1007/S00221-018-5278-3 |
0.293 |
|
| 2012 |
Ebrahimpour R, Rasoolinezhad R, Hajiabolhasani Z, Ebrahimi M. Vanishing point detection in corridors: using Hough transform and K-means clustering Iet Computer Vision. 6: 40. DOI: 10.1049/Iet-Cvi.2010.0046 |
0.293 |
|
| 2012 |
Ebrahimpour R, Sadeghnejad N, Sajedin A, Mohammadi N. Electrocardiogram beat classification via coupled boosting by filtering and preloaded mixture of experts Neural Computing and Applications. 23: 1169-1178. DOI: 10.1007/S00521-012-1063-6 |
0.291 |
|
| 2012 |
Masoudnia S, Ebrahimpour R, Arani SAAA. Incorporation of a Regularization Term to Control Negative Correlation in Mixture of Experts Neural Processing Letters. 36: 31-47. DOI: 10.1007/S11063-012-9221-5 |
0.291 |
|
| 2014 |
Emamjomeh A, Goliaei B, Zahiri J, Ebrahimpour R. Predicting protein-protein interactions between human and hepatitis C virus via an ensemble learning method. Molecular Biosystems. 10: 3147-54. PMID 25230581 DOI: 10.1039/C4Mb00410H |
0.29 |
|
| 2013 |
Kheradpisheh SR, Behjati-Ardakani F, Ebrahimpour R. Combining classifiers using nearest decision prototypes Applied Soft Computing. 13: 4570-4578. DOI: 10.1016/J.Asoc.2013.07.028 |
0.289 |
|
| 2011 |
Javidi MM, Ebrahimpour R, Sharifizadeh F. Persian handwritten digits recognition: A divide and conquer approach based on mixture of MLP experts International Journal of Physical Sciences. 6. DOI: 10.5897/Ijps11.1069 |
0.288 |
|
| 2020 |
Karimi MH, Ebrahimpour R, NB. Object Categorization at the Higher Levels Do with More Neurons than Finer Levels and Takes Faster Ieee Access. 1-1. DOI: 10.1109/Access.2020.2966507 |
0.287 |
|
| 2012 |
Ebrahimpour R, Sadeghnejad N, Arani SAAA, Mohammadi N. Boost-wise pre-loaded mixture of experts for classification tasks Neural Computing and Applications. 22: 365-377. DOI: 10.1007/S00521-012-0909-2 |
0.284 |
|
| 2022 |
Azizi Z, Ebrahimpour R. Explaining Integration of Evidence Separated by Temporal Gaps with Frontoparietal Circuit Models. Neuroscience. 509: 74-95. PMID 36457229 DOI: 10.1016/j.neuroscience.2022.10.019 |
0.281 |
|
| 2020 |
Eghdam R, Ebrahimpour R, Zabbah I, Zabbah S. Inherent Importance of Early Visual Features in Attraction of Human Attention. Computational Intelligence and Neuroscience. 2020: 3496432. PMID 33488689 DOI: 10.1155/2020/3496432 |
0.277 |
|
| 2017 |
Moini S, Alizadeh B, Emad M, Ebrahimpour R. A Resource-Limited Hardware Accelerator for Convolutional Neural Networks in Embedded Vision Applications Ieee Transactions On Circuits and Systems Ii: Express Briefs. 64: 1217-1221. DOI: 10.1109/Tcsii.2017.2690919 |
0.271 |
|
| 2012 |
Masoudnia S, Abdi MJ, Ebrahimpour R. Improving Mixture of Experts Using Second Order Optimization Pearl : a Journal of Library and Information Science. 3: 122. DOI: 10.5958/J.0975-8070.3.2.008 |
0.266 |
|
| 2014 |
Emamjomeh A, Goliaei B, Torkamani A, Ebrahimpour R, Mohammadi N, Parsian A. Protein-protein interaction prediction by combined analysis of genomic and conservation information. Genes & Genetic Systems. 89: 259-72. PMID 25948120 DOI: 10.1266/Ggs.89.259 |
0.265 |
|
| 2016 |
Tohidi-Moghaddam M, Zabbah S, Ebrahimpour R. نقش اطلاعات اولیه در اهمیت اطلاعات نهایی در تصمیمگیری The Neuroscience Journal of Shefaye Khatam. 4: 26-34. DOI: 10.18869/Acadpub.Shefa.4.4.26 |
0.265 |
|
| 2011 |
Payganeh GH, Khajavi MN, Ebrahimpour R, Babaei E. Machine Fault Diagnosis Using MLPs and RBF Neural Networks Applied Mechanics and Materials. 5021-5028. DOI: 10.4028/Www.Scientific.Net/Amm.110-116.5021 |
0.262 |
|
| 2013 |
Zahiri J, Yaghoubi O, Mohammad-Noori M, Ebrahimpour R, Masoudi-Nejad A. PPIevo: protein-protein interaction prediction from PSSM based evolutionary information. Genomics. 102: 237-42. PMID 23747746 DOI: 10.1016/J.Ygeno.2013.05.006 |
0.26 |
|
| 2012 |
Ebrahimpour R, Babakhani K, Arani SAAA, Masoudnia S. EPILEPTIC SEIZURE DETECTION USING A NEURAL NETWORK ENSEMBLE METHOD AND WAVELET TRANSFORM Neural Network World. 22: 291-310. DOI: 10.14311/Nnw.2012.22.017 |
0.247 |
|
| 2010 |
Olyaee S, Ebrahimpour R, Hamedi S. Modeling and Compensation of Periodic Nonlinearity in Two-mode Interferometer Using Neural Networks Iete Journal of Research. 56: 102. DOI: 10.4103/0377-2063.63090 |
0.243 |
|
| 2010 |
Ebrahimpour R, Abharian EK, Akbar A, Birjandi M, Zeinolabedin S. Transient Stability Assessment of a Power System with a UPFC by Mixture of Experts International Journal of Computer and Electrical Engineering. 643-648. DOI: 10.7763/Ijcee.2010.V2.205 |
0.242 |
|
| 2020 |
Samadi E, Badri A, Ebrahimpour R. Decentralized multi-agent based energy management of microgrid using reinforcement learning International Journal of Electrical Power & Energy Systems. 122: 106211. DOI: 10.1016/J.Ijepes.2020.106211 |
0.24 |
|
| 2010 |
Khaleghian S, Makhsoos NT, Ebrahimpour R, Hajiany A. View-independent face recognition with RBF gating in mixture of experts method by teacher-directed learning Technological Developments in Education and Automation. 413-418. DOI: 10.1007/978-90-481-3656-8_75 |
0.235 |
|
| 2010 |
Olyaee S, Abadi MSE, Ebrahimpour R, Moradian MR. A Comparative Study of Two Blind Source Separation Approaches to Resolve the Multi-Source Limitation of the Nutating Rising-Sun Reticle Based Optical Trackers International Journal of Computer and Electrical Engineering. 283-291. DOI: 10.7763/Ijcee.2010.V2.150 |
0.229 |
|
| 2020 |
Mohammadi Anbaran A, Torkzadeh P, Ebrahimpour R, Bagheri N. Modification and hardware implementation of cortex‐like object recognition model Iet Image Processing. 14: 3490-3498. DOI: 10.1049/iet-ipr.2019.0264 |
0.218 |
|
| 2013 |
Bagheri N, Ebrahimpour R, Ghaedi N. New differential fault analysis on PRESENT Eurasip Journal On Advances in Signal Processing. 2013. DOI: 10.1186/1687-6180-2013-145 |
0.211 |
|
| 2013 |
Karimi MM, Fatehi A, Ebrahimpour R, Shamsaddinlou A. Optimized real-time soft analyzer for chemical process using artificial intelligence 2013 9th Asian Control Conference, Ascc 2013. DOI: 10.1109/ASCC.2013.6606356 |
0.201 |
|
| 2023 |
Esmaily J, Zabbah S, Ebrahimpour R, Bahrami B. Interpersonal alignment of neural evidence accumulation to social exchange of confidence. Elife. 12. PMID 38128085 DOI: 10.7554/eLife.83722 |
0.172 |
|
| 2009 |
Ebrahimpour R, Kabir E, Yousefi MR. Improving mixture of experts for view-independent face recognition using teacher-directed learning Machine Vision and Applications. 22: 421-432. DOI: 10.1007/s00138-009-0232-9 |
0.171 |
|
| 2020 |
Farzmahdi A, Ebrahimpour R, Freiwald W. Mechanisms of Facial Tuning in a Brain-inspired Deep Network Journal of Vision. 20: 1463. DOI: 10.1167/jov.20.11.1463 |
0.163 |
|
| 2022 |
Sarailoo R, Latifzadeh K, Amiri SH, Bosaghzadeh A, Ebrahimpour R. Assessment of instantaneous cognitive load imposed by educational multimedia using electroencephalography signals. Frontiers in Neuroscience. 16: 744737. PMID 35979334 DOI: 10.3389/fnins.2022.744737 |
0.15 |
|
| 2012 |
Ebrahimpour R, Sadeghnejad N, Masoudnia S, Arani SAAA. Boosted Pre-loaded Mixture of Experts for low-resolution face recognition International Journal of Hybrid Intelligent Systems. 9: 145-158. DOI: 10.3233/HIS-2012-0153 |
0.148 |
|
| 2024 |
Sadeghnejad N, Ezoji M, Ebrahimpour R, Qodosi M, Zabbah S. A fully spiking coupled model of a deep neural network and a recurrent attractor explains dynamics of decision making in an object recognition task. Journal of Neural Engineering. 21. PMID 38506115 DOI: 10.1088/1741-2552/ad2d30 |
0.12 |
|
| 2022 |
Alavi SM, Mirzaei A, Valizadeh A, Ebrahimpour R. Excitatory deep brain stimulation quenches beta oscillations arising in a computational model of the subthalamo-pallidal loop. Scientific Reports. 12: 7845. PMID 35552409 DOI: 10.1038/s41598-022-10084-4 |
0.112 |
|
| 2021 |
Havaran A, Mahmoudi M, Ebrahimpour R. Extraction of the structural mode shapes utilizing image processing method and data fusion Mechanical Systems and Signal Processing. 151: 107380. DOI: 10.1016/j.ymssp.2020.107380 |
0.093 |
|
| 2015 |
Emamjomeh A, Goliaei B, Zahiri J, Ebrahimpour R. Prediction of Gene Co-Expression by Quantifying Heterogeneous Features Current Bioinformatics. 10: 414-424. DOI: 10.2174/157489361004150922133648 |
0.09 |
|
| 2018 |
Ebrahimpour R, Fesharakifard R, Rezaei SM. An adaptive approach to compensate seam tracking error in robotic welding process by a moving fixture International Journal of Advanced Robotic Systems. 15: 172988141881620. DOI: 10.1177/1729881418816209 |
0.071 |
|
| 2023 |
Lee J, Beirami MJ, Ebrahimpour R, Puyana C, Tsoukas M, Avanaki K. Optical coherence tomography confirms non-malignant pigmented lesions in phacomatosis pigmentokeratotica using a support vector machine learning algorithm. Skin Research and Technology : Official Journal of International Society For Bioengineering and the Skin (Isbs) [and] International Society For Digital Imaging of Skin (Isdis) [and] International Society For Skin Imaging (Issi). 29: e13377. PMID 37357662 DOI: 10.1111/srt.13377 |
0.06 |
|
| 2013 |
Mirnaziri M, Rahimi M, Alavikakhaki S, Ebrahimpour R. Using Combination of µ,β and γ Bands in Classification of EEG Signals. Basic and Clinical Neuroscience. 4: 76-87. PMID 25337331 |
0.059 |
|
| 2013 |
Bagheri N, Ebrahimpour R, Ghaedi N. Differential fault analysis on PRINT
cipher Iet Networks. 2: 30-36. DOI: 10.1049/iet-net.2012.0117 |
0.025 |
|
| 2020 |
Modarres MH, Khazaie VR, Ghorbani M, Ghoreyshi AM, AkhavanPour A, Ebrahimpour R, Vahabi Z, Kalafatis C, Razavi SK. Early diagnosis of Alzheimer's dementia with the artificial intelligence‐based Integrated Cognitive Assessment Alzheimer's & Dementia. 16. DOI: 10.1002/alz.042863 |
0.021 |
|
| Hide low-probability matches. |