Now showing items 1-5 of 5

  • Applications of machine learning in classification of biological data 

    Authors:Sonlu, Aylin
    Publisher and Date:(Kadir Has University, 2018)
    Machine learning enables computers learn from the data. it has a wide range of application areas. Computational biology and bioinformatics are some areas in which machine learning applications provide accurate solutions to problems. Different types of machine learning tasks are summarized as supervised semi-supervised unsupervised and reinforcement learning. in this thesis we focus on supervised machine learning tasks on biological datasets. We applied multiple machine learning approaches to ...

  • The Effect of Data Augmentation on ADHD Diagnostic Model using Deep Learning 

    Authors:Çiçek, Gülay; Özmen, Atilla; Akan, Aydin
    Publisher and Date:(IEEE, 2019)
    Attention Deficit Hyperactivity Disorder (ADHD) is a neuro-behavioral hyperactivity disorder. It is frequently seen in childhood and youth, and lasts a lifetime unless treated.The ADHD classification model should be objective and robust. Correct diagnosis usually depends on the knowledge and experience of health professionals. In this respect, an automated method to be developed for the ADHD classification model is of great importance for clinicians. In this study, the effect of data augmentation ...

  • On the Classification of Fifth Order Quasi-linear Non-constant Separant Scalar Evolution Equations of the KdV-Type 

    Authors:Özkum, Gülcan; Bilge, Ayşe Hümeyra
    Publisher and Date:(Physical Soc Japan, 2012)
    Fifth order, quasi-linear, non-constant separant evolution equations are of the form u(t) = A(partial derivative(5)u/partial derivative x(5)) + (B) over tilde, where A and (B) over tilde are functions of x, t, u and of the derivatives of u with respect to x up to order 4. We use the existence of a "formal symmetry'', hence the existence of "canonical conservation laws'' rho((i)), i = -1, . . . , 5 as an integrability test. We define an evolution equation to be of the KdV-Type, if all odd numbered ...

  • Performance comparison of locality sensitive hashing and random forest algorithms for handwritten digits recognition 

    Authors:Cayir, Aykut
    Publisher and Date:(Kadir Has University, 2014)
    The significant increase in data created has caused to come out a new concept which is called big data. in addition to that multidimensional data instances in big data sets have many new features. Therefore some problems become much more critical for data analysis in big data sets. One of these very important problems is classification of multidimensional data instances in big data sets in a reasonable time. Classification is also related to K-Nearest Neighbors problem in machine learning and data ...

  • Recommendation of data visualization tools for non-technical people 

    Authors:Omran, Ahmet
    Publisher and Date:(Kadir Has University, 2019)
    Big data analysis and data science are promising trends. Visualization is critical part. It outlines and presents data as information from different perspectives. Consequently, leaders, decision makers, and end users will grasp concepts and identify patterns with new dimensions. However, while time is still a complex dimension, the number of Information Visualization (InfoVis) software tools are increasing rapidly. This research test out how non-technical people select their InfoVis tools. Generally, ...