| Multivariate denoising using wavelets and principal component analysis M Aminghafari, N Cheze, JM Poggi Computational Statistics & Data Analysis 50 (9), 2381-2398, 2006 | 263 | 2006 |
| Forecasting time series using wavelets M Aminghafari, JM Poggi International Journal of Wavelets, Multiresolution and Information …, 2007 | 44 | 2007 |
| Nonstationary time series forecasting using wavelets and kernel smoothing M Aminghafari, JM Poggi Communications in Statistics-Theory and Methods 41 (3), 485-499, 2012 | 14 | 2012 |
| A novel wavelet artificial neural networks method to predict non-stationary time series M Ghanbarzadeh, M Aminghafari Communications in statistics-theory and methods 49 (4), 864-878, 2020 | 9 | 2020 |
| A new hybrid-multiscale SSA prediction of non-stationary time series M Ghanbarzadeh, M Aminghafari Fluctuation and Noise Letters 15 (01), 1650005, 2016 | 9 | 2016 |
| A fuzzy-wavelet denoising technique with applications to noise reduction in audio signals MJ Davoudabadi, M Aminghafari Journal of Intelligent & Fuzzy Systems 33 (4), 2159-2169, 2017 | 8 | 2017 |
| Robust nonparametric regression for heavy-tailed data F Gorji, M Aminghafari Journal of Agricultural, Biological and Environmental Statistics 25, 277-291, 2020 | 6 | 2020 |
| Functional data clustering using K-means and random projection with applications to climatological data M Ashkartizabi, M Aminghafari Stochastic environmental research and risk assessment 32, 83-104, 2018 | 6 | 2018 |
| Application and comparison of different linear classification methods for breast cancer diagnosis S Zarei, M Aminghafari, H Zali Int. J. Analy. Phar. and Biom. Sci 4 (2), 123-129, 2015 | 5 | 2015 |
| Solving noisy ICA using multivariate wavelet denoising with an application to noisy latent variables regression V Nassiri, M Aminghafari, A Mohammad-Djafari Communications in Statistics-Theory and Methods 43 (10-12), 2297-2310, 2014 | 5 | 2014 |
| Identifying similar functional modules by a new hybrid spectral clustering method S Madani, K Faez, M Aminghafari IET SYSTEMS BIOLOGY 12 (1), 2012 | 5 | 2012 |
| On the expected absolute value of a bivariate normal distribution SRH Shojaie, M Aminghafari, A Mohammadpour Journal of Statistics Theory and Applications 11 (4), 371-377, 2012 | 5 | 2012 |
| Least median of squares regression M Aminghafari, N Cheze, JM Poggi Comput. Stat. Data Anal 50, 2381-2398, 2006 | 5 | 2006 |
| A modified F-test for hypothesis testing in large-scale data M Salehi, A Mohammadpour, M Mohammadi, M Aminghafari Journal of Biopharmaceutical Statistics 28 (6), 1078-1089, 2018 | 4 | 2018 |
| Using bivariate Gaussian distribution for image denoising in the 2-D complex wavelet domain A Rekabdar, O Khayat, N Khatib, M Aminghafari 2010 6th Iranian Conference on Machine Vision and Image Processing, 1-6, 2010 | 4 | 2010 |
| Denoising heavy-tailed data using a novel robust non-parametric method based on quantile regression F Gorji, M Aminghafari Fluctuation and Noise Letters 16 (03), 1750029, 2017 | 2 | 2017 |
| Prediction of periodically correlated processes by wavelet transform and multivariate methods with applications to climatological data M Ghanbarzadeh, M Aminghafari Theoretical and applied climatology 120, 433-444, 2015 | 2 | 2015 |
| A new type of generalized information criterion for regularization parameter selection in penalized regression with application to treatment process data AH Ghatari, M Aminghafari Journal of Biopharmaceutical Statistics, 1-25, 2023 | 1 | 2023 |
| Multivariate denoising and missing data estimation for heavy-tailed signals F Gorji, M Aminghafari Fluctuation and Noise Letters 18 (03), 1950016, 2019 | 1 | 2019 |
| A modified two-sample t-test based on permutation method for large-scale data M Salehi, A Mohammadpour, M Mohammadi, M Aminghafari Communications in Statistics-Simulation and Computation 48 (2), 372-384, 2019 | 1 | 2019 |
Adel MohammadpourAmirkabir University of Technology (Tehran Polytechnic)Verified email at aut.ac.ir
