TasKar: A Research and Education Tool for Calculation and Representation of Binary Classification Performance Instruments

Taşkaya Temizel, Tuğba


RMARS: Robustification of multivariate adaptive regression spline under polyhedral uncertainty
Ozmen, Ayse; Weber, Gerhard Wilhelm (Elsevier BV, 2014-03-15)
Since, with increased volatility and further uncertainties, financial crises translated a high "noise" within data from financial markets and economies into the related models, recent years' events in the financial world have led to radically untrustworthy representations of the future. Hence, robustification started to attract more attention in finance. The presence of noise and data uncertainty raises critical problems to be dealt with on the theoretical and computational side. For immunizing against para...
CMARS: a new contribution to nonparametric regression with multivariate adaptive regression splines supported by continuous optimization
Weber, Gerhard-Wilhelm; Batmaz, İnci; Köksal, Gülser; Taylan, Pakize; Yerlikaya-Ozkurt, Fatma (2012-01-01)
Regression analysis is a widely used statistical method for modelling relationships between variables. Multivariate adaptive regression splines (MARS) especially is very useful for high-dimensional problems and fitting nonlinear multivariate functions. A special advantage of MARS lies in its ability to estimate contributions of some basis functions so that both additive and interactive effects of the predictors are allowed to determine the response variable. The MARS method consists of two parts: forward an...
Task parallelism for ray tracing on a gpu cluster
Ünlü, Çağlar; İşler, Veysi; Department of Computer Engineering (2008)
Ray tracing is a computationally complex global illumination algorithm that is used for producing realistic images. In addition to parallel implementations on commodity PC clusters, recently, Graphics Processing Units (GPU) have also been used to accelerate ray tracing. In this thesis, ray tracing is accelerated on a GPU cluster where the viewing plane is divided into unit tiles. Slave processes work on these tiles in a task parallel manner which are dynamically assigned to them. To decrease the number of r...
Delta Analysis: A Hybrid Quantitative Approach for Measuring Discrepancies between Business Process Models
Esgin, Eren; Karagöz, Pınar (2011-05-25)
Business process management (BPM) continues to play a significant role in today's highly globalized world. In order to detect and prevent the gap between reference process model and the actual operation, process mining techniques discover operational model on the basis of the process logs. An important issue at BPM is to measure the similarity between the reference process model and discovered process model so that it can be possible to pinpoint where process participants deviate from the intended process d...
ROADMap: a novel method for role-based and decentralized process modeling
Ertuğrul, Ali Mert; Demirörs, Onur; Department of Information Systems (2015)
Role-based and decentralized process modeling allows actors to focus on modeling their own role behaviors and requires them to communicate and negotiate with each other in order to form a consistent and integrated process model. Due to the collaborative nature of role-based and decentralized process modeling, negotiations among the actors who play different roles have a crucial impact on modeling activity of overall process. Based on the communication and negotiation time among the actors, these types of pr...
Citation Formats
G. CANBEK, T. Taşkaya Temizel, and Ş. SAĞIROĞLU, “TasKar: A Research and Education Tool for Calculation and Representation of Binary Classification Performance Instruments,” presented at the International Conference on Computer Science and Engineering (UBMK), Türkiye, 2021, Accessed: 00, 2022. [Online]. Available: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9654359.