| 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 | 141 | 2015 |
| Variance-based sensitivity analysis of model outputs using surrogate models D Shahsavani, A Grimvall Environmental Modelling & Software 26 (6), 723-730, 2011 | 57 | 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 | 33 | 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 | 21 | 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 |
| 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 |
| 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 | 9 | 2020 |
| 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 | 9 | 2018 |
| The development of a dense urban air pollution monitoring network HT Shahraiyni, S Sodoudi, A Kerschbaumer, U Cubasch Atmospheric Pollution Research 6 (5), 904-915, 2015 | 8 | 2015 |
| 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 | 8 | 2012 |
| Gene expression data clustering with random forest dissimilarity Z FARHADI, D SHAHSAVANI RAZI JOURNAL OF MEDICAL SCIENCES (JOURNAL OF IRAN UNIVERSITY OF MEDICAL …, 2015 | 7 | 2015 |
| 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 | 6 | 2019 |
| 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 | 3 | 2016 |
| 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 |
