Dependency Structure-Based Cognitive Data Analysis

Dependence based program transformations for parallelism enhancement Ercil, Nergis; Akman, İbrahim; Department of Computer Engineering (1991)
Dependency redivivus: the relevance of dependency theory in understanding contemporary capitalism and the crisis in Europe / Savaş, Ayşe; Alpan, Başak Zeynep; Department of Political Science and Public Administration (2015) Following the 2008 Economic Crisis, it has become apparent that some countries, while they had been applauded to be developing for decades, were far from becoming part of the developed core of the capitalist world economy. While it was shelved during for the most of last thirty year, Dependency Theory proposes a good explanation for the situation of these countries. In this thesis, it was argued that contemporary capitalism and the post-2008 situation in Europe can be explained with Dependency Theory and th...
Dependence Analysis with Normally Distributed Aggregate Claims in Stop Loss Insurance Mert, Özenç Murat; Kestel, Sevtap Ayşe (null; 2017-12-08) The reinsurance contracts in the insurance market have been playing an important role in the last couple of decades. One of the most important reinsurance contracts is the stop-loss reinsurance. It has an interesting property from the insurer point of view such that it is optimal if the criterion of minimizing the variance of the cost of the insurer is used. The word ‘optimality’ takes many researcher’s attention so that optimal reinsurance contracts under different assumptions have been investigated for de...
Constraint handling in genetic algorithm integrated structural optimization Hasançebi, Oğuzhan (Springer Science and Business Media LLC, 2000-01-01) This paper is concerned with constraint handling techniques in GA integrated structural optimization. A modified version of Joines and Houck's [18] penalty function method is introduced and studied with respect to discrete optimization of truss structures. Three test cases are designed and numerically examined to reflect three distinct situations of loading and constraints. Certain recommendations are reached for penalty parameter values. Furthermore, the considered penalty function is reformulated to elimi...
Functional Mesh Learning for Pattern Analysis of Cognitive Processes Firat, Orhan; Ozay, Mete; Onal, Itir; GİLLAM, İLKE; Yarman Vural, Fatoş Tunay (2013-07-18) We propose a statistical learning model for classifying cognitive processes based on distributed patterns of neural activation in the brain, acquired via functional magnetic resonance imaging (fMRI). In the proposed learning machine, local meshes are formed around each voxel. The distance between voxels in the mesh is determined by using functional neighborhood concept. In order to define functional neighborhood, the similarities between the time series recorded for voxels are measured and functional connec...

Citation Formats

S. Çakar and F. Gökalp Yavuz, “Dependency Structure-Based Cognitive Data Analysis,” presented at the 5th International Conference on Data Science and Applications (ICONDATA’22), Fethiye, Türkiye, 2022, Accessed: 00, 2022. [Online]. Available: http://www.icondata.org/uploads/kcfinder/upload/files/ICONDATA'22%20Abstract%20Proceedings%20Book.pdf.