Search Results - "Shahsavani, Davood"
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Classification in High Dimension Using the Ledoit–Wolf Shrinkage Method
Published in Mathematics (Basel) (01-11-2022)“…Classification using linear discriminant analysis (LDA) is challenging when the number of variables is large relative to the number of observations. Algorithms…”
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Combination of radial distribution functions as structural descriptors with ligand-receptor interaction information in the QSAR study of some 4-anilinoquinazoline derivatives as potent EGFR inhibitors
Published in Structural chemistry (01-08-2020)“…In this paper, we report the use of a mixture of radial distribution functions (RDFs) and molecular docking descriptors (MDDs), as a new group of descriptors,…”
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Small Area Estimation Using a Semiparametric Spatial Model with Application in Insurance
Published in Symmetry (Basel) (01-10-2022)“…Additional information and borrowing strength from the related sites and other sources will improve estimation in small areas. Generalized linear mixed-effects…”
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Small area estimation with partially linear mixed-t model with measurement error
Published in Journal of computational and applied mathematics (15-08-2024)“…In small area estimation (SAE), using direct conventional methods will not lead to reliable estimates because the sample size is small compared to the…”
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Time-varying coefficients models for recurrent event data when different varying coefficients admit different degrees of smoothness: application to heart disease modeling
Published in Statistics in medicine (15-10-2016)“…We consider a class of semiparametric marginal rate models for analyzing recurrent event data. In these models, both time‐varying and time‐free effects are…”
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A Novel Method of Gene Expression Data Clustering
Published in Anfurmātīk-i salāmat va zīst/pizishkī (01-12-2016)“…Introduction: The microarray technology and production of gene expression data are among the important developments in genetic science that provide ability to…”
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Quantitative structure-property relationships of retention indices of some sulfur organic compounds using random forest technique as a variable selection and modeling method
Published in Journal of separation science (01-10-2016)“…In this work, a noble quantitative structure–property relationship technique is proposed on the basis of the random forest for prediction of the retention…”
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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
Published in Network modeling and analysis in health informatics and bioinformatics (Wien) (01-12-2020)“…An accurate QSAR model was developed for the prediction of the anti-HIV activities of a set of DAPY-like derivatives as new non-nucleoside reverse…”
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LM-ANN-based QSAR model for the prediction of pEC50 for a set of potent NNRTI using the mixture of ligand–receptor interaction information and drug-like indexes
Published in Network modeling and analysis in health informatics and bioinformatics (Wien) (01-12-2020)“…A combination of ligand–receptor interactions and drug-like indexes have been used to develop a quantitative structure–activity relationship model to predict…”
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Evaluation of MARS for the spatial distribution modeling of carbon monoxide in an urban area
Published in Atmospheric pollution research (01-07-2015)“…Spatial distribution modeling of CO in Tehran can lead to better air pollution management and control, and it is also suitable for exposure assessment and…”
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Evaluation of MARS for the spatial distribution modeling of carbon monoxide in an urban area
Published in Atmospheric pollution research (01-07-2015)“…Spatial distribution modeling of CO in Tehran can lead to better air pollution management and control, and it is also suitable for exposure assessment and…”
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An adaptive design and interpolation technique for extracting highly nonlinear response surfaces from deterministic models
Published in Reliability engineering & system safety (01-07-2009)“…Response surface methodologies can reveal important features of complex computer code models. Here, we suggest experimental designs and interpolation methods…”
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