İnci Batmaz

E-mail

ibatmaz@metu.edu.tr

Department

Department of Statistics

ORCID

0000-0002-0821-3786

Scopus Author ID

6506670261

Web of Science Researcher ID

B-1614-2018

cmaRs: A powerful predictive data mining package in R Yerlikaya-Özkurt, Fatma; Yazıcı, Ceyda; Batmaz, İnci (2023-12-01) Conic Multivariate Adaptive Regression Splines (CMARS) is a very successful method for modeling nonlinear structures in high-dimensional data. It is based on MARS algorithm and utilizes Tikhonov regularization and Conic Qu...
Data Mining Approaches to Meteorological Data: A Review of NINLIL Climate Research Group Studies Batmaz, İnci (CRC, New York , 2023-12-01)
Interviewer allocation through interview-reinterview nested design for response error estimation in sample surveys Fahmi, Fidan Mahmut; Ayhan, H. Öztaş; Batmaz, İnci (2021-06-01) In surveys, non-sampling errors, due to their complex nature, are more challenging to quantify compared to sampling errors. Avoiding the release of these errors, however, results in biased survey estimates. In our previous...
Learning to rank by using multivariate adaptive regression splines and conic multivariate adaptive regression splines Altinok, Gulsah; Karagöz, Pınar; Batmaz, İnci (Wiley, 2020-10-22) Learning to rank is a supervised learning problem that aims to construct a ranking model for the given data. The most common application of learning to rank is to rank a set of documents against a query. In this work, we f...
StreamMARS: A Streaming Multivariate Adaptive Regression Splines Algorithm Batmaz, İnci (2019-12-14) Computers and internet have become inevitable parts of our life in the 1990s, and afterwards, bulk of data are started being recorded in digital platforms automatically. To extract meaningful patterns from such data comput...
Association of serum 25-hydroxyvitamin D concentrations with sleep phenotypes in a German community sample Dogan-Sander, Ezgi; Willenberg, Anja; Batmaz, İnci; Enzenbach, Cornelia; Wirkner, Kerstin; Kohls, Elisabeth; Mergl, Roland; Thiery, Joachim; Kratzsch, Juergen; Hegerl, Ulrich; Sander, Christian (2019-07-01) Background Sleep disorders and vitamin D deficiency are among the most common health problems. Few studies investigated the effect of vitamin D on objectively recorded sleep with sound methodological quality and reasonable...
Clustering approaches for analysing similarity in ungagued catchments: input variable selection for hydrological predictions Doğulu, Nilay; Batmaz, İnci; Kentel Erdoğan, Elçin (2018-04-08) Catchments are hydrological units that exhibit unique but distinct features that greatly contribute to heterogeneity and complexity of rainfall-runoff processes. While the lure of understanding such diversity has underpinn...
Input variable selection for hydrological predictions in ungauged catchments: with or without clustering Doğulu, Nilay; Batmaz, İnci; Kentel Erdoğan, Elçin (null; 2018-04-08) A key step in data-driven environmental modelling, including for hydrological purposes, is input variable selection (IVS) to ensure that the least number of variables with minimum redundancy are used to characterize the in...
A Categorical Principal Component Regression on Computer-Assisted Instruction in Probability Domain Kapucu, Tuğba; İlk Dağ, Özlem; Batmaz, İnci (2018-01-01) The purpose of this study is to examine the effects of computer-assisted instructional material (CAIM) prepared in R program on eighth grade students’ permutation–combination and probability achievement and their attitudes...
A Comparative Study on Learning to Rank with Computational Methods Batmaz, İnci; Karagöz, Pınar (2017-12-14) Learning to rank is a supervised learning problem that aims to construct a ranking model. The most common application of learning to rank is to rank a set of documents against a query. In this work, we focus on pointwise a...

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