CMARS: a new contribution to nonparametric regression with multivariate adaptive regression splines supported by continuous optimization GW Weber, I Batmaz, G Köksal, P Taylan, F Yerlikaya-Özkurt Inverse Problems in Science and Engineering 20 (3), 371-400, 2012 | 184 | 2012 |
A new approach to multivariate adaptive regression splines by using Tikhonov regularization and continuous optimization P Taylan, GW Weber, F Yerlikaya Özkurt Top 18, 377-395, 2010 | 65 | 2010 |
CMARS and GAM & CQP—modern optimization methods applied to international credit default prediction ÖS Alp, E Büyükbebeci, A İşcanog, FY Özkurt, P Taylan, GW Weber Journal of computational and applied mathematics 235 (16), 4639-4651, 2011 | 50 | 2011 |
Estimation of the Hurst parameter for fractional Brownian motion using the CMARS method F Yerlikaya-Özkurt, C Vardar-Acar, Y Yolcu-Okur, GW Weber Journal of Computational and Applied Mathematics 259, 843-850, 2014 | 40 | 2014 |
An alternative approach to the ground motion prediction problem by a non-parametric adaptive regression method F Yerlikaya-Özkurt, A Askan, GW Weber Engineering Optimization 46 (12), 1651-1668, 2014 | 27 | 2014 |
On the foundations of parameter estimation for generalized partial linear models with B-splines and continuous optimization P Taylan, GW Weber, L Liu, F Yerlikaya-Özkurt Computers & Mathematics with Applications 60 (1), 134-143, 2010 | 26 | 2010 |
An approach to the mean shift outlier model by Tikhonov regularization and conic programming P Taylan, F Yerlikaya-Oezkurt, GW Weber Intelligent Data Analysis 18 (1), 79-94, 2014 | 20 | 2014 |
A new outlier detection method based on convex optimization: Application to diagnosis of Parkinson’s disease P Taylan, F Yerlikaya-Özkurt, B Bilgic Ucak, GW Weber Journal of Applied Statistics 48 (13-15), 2421-2440, 2021 | 19 | 2021 |
A review and new contribution on conic multivariate adaptive regression splines (CMARS): a powerful tool for predictive data mining F Yerlikaya-Özkurt, İ Batmaz, GW Weber Modeling, Dynamics, Optimization and Bioeconomics I: Contributions from …, 2014 | 19 | 2014 |
A computational approach to nonparametric regression: bootstrapping CMARS method C Yazıcı, F Yerlikaya-Özkurt, I Batmaz Machine Learning 101, 211-230, 2015 | 17 | 2015 |
A hybrid computational method based on convex optimization for outlier problems: Application to earthquake ground motion prediction F Yerlikaya-Özkurt, A Askan, GW Weber Informatica 27 (4), 893-910, 2016 | 11 | 2016 |
New computational methods for classification problems in the existence of outliers based on conic quadratic optimization F Yerlikaya-Özkurt, P Taylan Communications in Statistics-Simulation and Computation 49 (3), 753-770, 2020 | 10 | 2020 |
Evaluating the CMARS performance for modeling non‐linearities İ Batmaz, F Yerlikaya‐Özkurt, E Kartal‐Koç, G Köksal, GW Weber AIP Conference Proceedings 1239 (1), 351-357, 2010 | 10 | 2010 |
Prediction of potential seismic damage using classification and regression trees: a case study on earthquake damage databases from Turkey F Yerlikaya-Özkurt, A Askan Natural Hazards 103 (3), 3163-3180, 2020 | 9 | 2020 |
Strategic electricity production planning of Turkey via mixed integer programming based on time series forecasting G Yörük, U Bac, F Yerlikaya-Özkurt, KD Ünlü Mathematics 11 (8), 1865, 2023 | 6 | 2023 |
A new approach to adaptive spline threshold autoregression by using Tikhonov regularization and continuous optimization S Yalaz, P Taylan, FY Özkurt Journal of Statistics and Management Systems 22 (6), 1127-1142, 2019 | 3 | 2019 |
Refinements, extensions and modern applications of conic multivariate adaptive regression splines F Yerlikaya Özkurt Middle East Technical University, 2013 | 3 | 2013 |
cmaRs: A powerful predictive data mining package in R F Yerlikaya-Özkurt, C Yazıcı, I Batmaz SoftwareX 24, 101553, 2023 | 2 | 2023 |
Stochastic Hybrid Systems of Financial and Economical Processess: Identificatied, Optimized and Controlled GW Weber, Y Yolcu Okur, F Yerlikaya Özkurt, S Kuter, A Özmen, ... | 2 | 2013 |
Estimation in the partially nonlinear model by continuous optimization F Yerlikaya-Özkurt, P Taylan, M Tez Journal of Applied Statistics 48 (13-15), 2826-2846, 2021 | 1 | 2021 |