Estimation of soil cation exchange capacity using genetic expression programming (GEP) and multivariate adaptive regression splines (MARS) S Emamgolizadeh, SM Bateni, D Shahsavani, T Ashrafi, H Ghorbani Journal of Hydrology 529, 1590-1600, 2015 | 165 | 2015 |
Variance-based sensitivity analysis of model outputs using surrogate models D Shahsavani, A Grimvall Environmental Modelling & Software 26 (6), 723-730, 2011 | 62 | 2011 |
Application of random forests method to predict the retention indices of some polycyclic aromatic hydrocarbons N Goudarzi, D Shahsavani, F Emadi-Gandaghi, MA Chamjangali Journal of Chromatography A 1333, 25-31, 2014 | 40 | 2014 |
Evaluation of MARS for the spatial distribution modeling of carbon monoxide in an urban area HT Shahraiyni, D Shahsavani, S Sargazi, M Habibi–Nokhandan Atmospheric Pollution Research 6 (4), 581-588, 2015 | 25* | 2015 |
An adaptive design and interpolation technique for extracting highly nonlinear response surfaces from deterministic models D Shahsavani, A Grimvall Reliability Engineering & System Safety 94 (7), 1173-1182, 2009 | 23 | 2009 |
Evaluation of MARS modeling technique for sensitivity analysis of model output D Shahsavani, S Tarantola, M Ratto Procedia-Social and Behavioral Sciences 2 (6), 7737-7738, 2010 | 19 | 2010 |
Combination of radial distribution functions as structural descriptors with ligand-receptor interaction information in the QSAR study of some 4-anilinoquinazoline derivatives … M Beglari, N Goudarzi, D Shahsavani, M Arab Chamjangali, Z Mozafari Structural Chemistry 31 (4), 1481-1491, 2020 | 12 | 2020 |
Application of a random forests (RF) method as a new approach for variable selection and modelling in a QSRR study to predict the relative retention time of some polybrominated … N Goudarzi, D Shahsavani Analytical Methods 4 (11), 3733-3738, 2012 | 12 | 2012 |
A sure independence screening procedure for ultra-high dimensional partially linear additive models M Kazemi, D Shahsavani, M Arashi Journal of Applied Statistics 46 (8), 1385-1403, 2019 | 11 | 2019 |
The optimization of root nutrient content for increased sugar beet productivity using an artificial neural network M Gholipoor, S Emamgholizadeh, H Hassanpour, D Shahsavani, ... INTERNATIONAL JOURNAL OF PLANT PRODUCTION 6 (4), 429-442, 2012 | 11 | 2012 |
Variable selection and structure identification for ultrahigh-dimensional partially linear additive models with application to cardiomyopathy microarray data M Kazemi, D Shahsavani, M Arashi Statistics, Optimization & Information Computing 6 (3), 373-382, 2018 | 10 | 2018 |
Quantitative structure–property relationships of retention indices of some sulfur organic compounds using random forest technique as a variable selection and modeling method N Goudarzi, D Shahsavani, F Emadi‐Gandaghi, MA Chamjangali Journal of separation science 39 (19), 3835-3842, 2016 | 6 | 2016 |
Gene expression data clustering with random forest dissimilarity Z FARHADI, D SHAHSAVANI Razi Journal of Medical Sciences 22 (136), 109-118, 2015 | 6 | 2015 |
Reduced models of the retention of nitrogen in catchments K Wahlin, D Shahsavani, A Grimvall, AJ Wade, D Butterfield, HP Jarvie | 3 | 2004 |
Time‐varying coefficients models for recurrent event data when different varying coefficients admit different degrees of smoothness: application to heart disease modeling E Eshaghi, H Baghishani, D Shahsavani Statistics in Medicine 35 (23), 4166-4182, 2016 | 2 | 2016 |
Classification in High Dimension Using the Ledoit–Wolf Shrinkage Method R Lotfi, D Shahsavani, M Arashi Mathematics 10 (21), 4069, 2022 | 1 | 2022 |
Small area estimation using a semiparametric spatial model with application in insurance SE Hosseini, D Shahsavani, MR Rabiei, M Arashi, H Baghishani Symmetry 14 (10), 2194, 2022 | 1 | 2022 |
QSAR modeling of anti-HIV activity for DAPY-like derivatives using the mixture of ligand-receptor binding information and functional group features as a new class of descriptors M Beglari, N Goudarzi, D Shahsavani, M Arab Chamjangali, R Dousti Network Modeling Analysis in Health Informatics and Bioinformatics 9, 1-15, 2020 | 1 | 2020 |
Atm spheric Pollution Research HT Shahraiyni, D Shahsavani, S Sargazi, M Habibi±Nokhandan Atmospheric Pollution Research 6, 904-915, 2015 | 1 | 2015 |
Estimating soil cation exchange capacity from soil physical and chemical properties SM Bateni, S Emamgholizadeh, D Shahsavani AGU Fall Meeting Abstracts 2014, H51C-0625, 2014 | 1 | 2014 |