Reza Ebrahimpour
Cited by
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Mixture of experts: a literature survey
S Masoudnia, R Ebrahimpour
Artificial Intelligence Review 42, 275-293, 2014
ECG arrhythmia recognition via a neuro-SVM–KNN hybrid classifier with virtual QRS image-based geometrical features
MR Homaeinezhad, SA Atyabi, E Tavakkoli, HN Toosi, A Ghaffari, ...
Expert Systems with Applications 39 (2), 2047-2058, 2012
PPIevo: Protein–protein interaction prediction from PSSM based evolutionary information
J Zahiri, O Yaghoubi, M Mohammad-Noori, R Ebrahimpour, ...
Genomics 102 (4), 237-242, 2013
Classification of ECG arrhythmia by a modular neural network based on mixture of experts and negatively correlated learning
M Javadi, SAAA Arani, A Sajedin, R Ebrahimpour
Biomedical Signal Processing and Control 8 (3), 289-296, 2013
Decentralized multi-agent based energy management of microgrid using reinforcement learning
E Samadi, A Badri, R Ebrahimpour
International Journal of Electrical Power & Energy Systems 122, 106211, 2020
Multiple classifier system for EEG signal classification with application to brain–computer interfaces
A Ahangi, M Karamnejad, N Mohammadi, R Ebrahimpour, N Bagheri
Neural Computing and Applications 23, 1319-1327, 2013
Beyond core object recognition: Recurrent processes account for object recognition under occlusion
K Rajaei, Y Mohsenzadeh, R Ebrahimpour, SM Khaligh-Razavi
PLoS computational biology 15 (5), e1007001, 2019
Mixture of MLP-experts for trend forecasting of time series: A case study of the Tehran stock exchange
R Ebrahimpour, H Nikoo, S Masoudnia, MR Yousefi, MS Ghaemi
International Journal of Forecasting 27 (3), 804-816, 2011
A resource-limited hardware accelerator for convolutional neural networks in embedded vision applications
S Moini, B Alizadeh, M Emad, R Ebrahimpour
IEEE Transactions on Circuits and Systems II: Express Briefs 64 (10), 1217-1221, 2017
Improving ECG classification accuracy using an ensemble of neural network modules
M Javadi, R Ebrahimpour, A Sajedin, S Faridi, S Zakernejad
PLoS one 6 (10), e24386, 2011
New differential fault analysis on PRESENT
N Bagheri, R Ebrahimpour, N Ghaedi
EURASIP Journal on Advances in Signal Processing 2013, 1-10, 2013
Vanishing point detection in corridors: using Hough transform and K-means clustering
R Ebrahimpour, R Rasoolinezhad, Z Hajiabolhasani, M Ebrahimi
IET computer vision 6 (1), 40-51, 2012
LocFuse: human protein–protein interaction prediction via classifier fusion using protein localization information
J Zahiri, M Mohammad-Noori, R Ebrahimpour, S Saadat, JH Bozorgmehr, ...
Genomics 104 (6), 496-503, 2014
Feedforward object-vision models only tolerate small image variations compared to human
M Ghodrati, A Farzmahdi, K Rajaei, R Ebrahimpour, SM Khaligh-Razavi
Frontiers in computational neuroscience 8, 74, 2014
Predicting protein–protein interactions between human and hepatitis C virus via an ensemble learning method
A Emamjomeh, B Goliaei, J Zahiri, R Ebrahimpour
Molecular Biosystems 10 (12), 3147-3154, 2014
How can selection of biologically inspired features improve the performance of a robust object recognition model?
M Ghodrati, SM Khaligh-Razavi, R Ebrahimpour, K Rajaei, M Pooyan
PloS one 7 (2), e32357, 2012
Knitted fabric defect classification for uncertain labels based on Dempster–Shafer theory of evidence
M Tabassian, R Ghaderi, R Ebrahimpour
Expert Systems with Applications 38 (5), 5259-5267, 2011
View-independent face recognition with mixture of experts
R Ebrahimpour, E Kabir, H Esteky, MR Yousefi
Neurocomputing 71 (4-6), 1103-1107, 2008
Face detection using mixture of MLP experts
R Ebrahimpour, E Kabir, MR Yousefi
Neural Processing Letters 26, 69-82, 2007
Recognition of Persian handwritten digits using Characterization Loci and Mixture of Experts
R Ebrahimpour, MR Moradian, A Esmkhani, FM Jafarlou
International Journal of Digital Content Technology and its Applications 3†…, 2009
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