MF - Makale Koleksiyonu | Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Recent Submissions
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Improved microphone array design with statistical speaker verification
(Elsevier Ltd, 2021-04)Conventional microphone array implementations aim to lock onto a source with given location and if required, tracking it. It is a challenge to identify the intended source when the location of the source is unknown and ... -
Türkçe WordNet oluşturulması ve makine çevirisinde kullanılması
(Tübitak, 2019-12)Princeton kelime ağının üretilmesinden beri, diğer dillerde birçok kelime ağı üretilmiştir. Türkçe için en kapsamlı kelime ağı olan KeNet şu anda 80,000 synset içermektedir. Bu synsetler birbirleriyle anlamsal ve diller ... -
Uyarlanır yerel bağlı nöron modelinin incelemesi
(2019-04-10)Bu çalışmada uyarlanır yerel bağlı (odaklanan) nöron modelinin bir incelemesi sunulmuştur. Öncelikle bu modelin varolan diğer nöron modelleri ile ilişkisi incelenmiştir. Daha sonra modelin ileri beslemede çalışması ve ... -
Crossing minimization in weighted bipartite graphs
(Elsevier B.V., 2009-12)Given a bipartite graph G = (L0, L1, E) and a fixed ordering of the nodes in L0, the problem of finding an ordering of the nodes in L1 that minimizes the number of crossings has received much attention in literature. The ... -
An adaptive locally connected neuron model: Focusing neuron
(Elsevier B.V., 2021-01-02)This paper presents a new artificial neuron model capable of learning its receptive field in the topological domain of inputs. The experiments include tests of focusing neuron networks of one or two hidden layers on synthetic ... -
A tree-based approach for English-to-Turkish translation
(Tubitak Scientific & Technical Research Council Turkey, 2019)In this paper, we present our English-to-Turkish translation methodology, which adopts a tree-based approach. Our approach relies on tree analysis and the application of structural modification rules to get the target side ... -
An observation based muscle model for simulation of facial expressions
(Elsevier Science BV, 2018-05)This study presents a novel facial muscle model for coding of facial expressions. We derive this model from unintrusive observation of human subjects in the progress of the surprise expression. We use a generic and ... -
Implicit theories and self-efficacy in an introductory programming course
(Institute of Electrical and Electronics Engineers Inc, 2018-08)Contribution: This paper examined student effort and performance in an introductory programming course with respect to student-held implicit theories and self-efficacy. Background: Implicit theories and self-efficacy help ... -
Constructing a WordNet for Turkish using manual and automatic annotation
(Assoc Computing Machinery, 2018-05)In this article, we summarize the methodology and the results of our 2-year-long efforts to construct a comprehensive WordNet for Turkish. In our approach, we mine a dictionary for synonym candidate pairs and manually mark ... -
Sınıflandırma için diferansiyel mahremiyete dayalı öznitelik seçimi
(Gazi Univ, Fac Engineering Architecture, 2018)Veri madenciliği ve makine öğrenmesi çözümlerinin en önemli ön aşamalarından biri yapılacak analizde kullanılacak verinin özniteliklerinin uygun bir alt kümesini belirlemektir. Sınıflandırma yöntemleri için bu işlem, bir ... -
Construction of a Turkish proposition bank
(Tubitak Scientific & Technical Research Council, 2018)This paper describes our approach to developing the Turkish PropBank by adopting the semantic role-labeling guidelines of the original PropBank and using the translation of the English Penn-TreeBank as a resource. We discuss ... -
Modeling and simulation support to the defense planning process
(Sage Publications Inc, 2017-04-01)Defense planning is a crucial part of the defense process. It identifies the capabilities required for the future defense environment, analyzes the capability shortfalls, prioritizes them, and provides the fundamental ... -
A novel kernel to predict software defectiveness
(Elsevier Science Inc, 2016-09)Although the software defect prediction problem has been researched for a long time, the results achieved are not so bright. In this paper, we propose to use novel kernels for defect prediction that are based on the ... -
Tree Ensembles on the induced discrete space
(Institute of Electrical and Electronics Engineers Inc., 2016-05)Decision trees are widely used predictive models in machine learning. Recently, K-tree is proposed, where the original discrete feature space is expanded by generating all orderings of values of k discrete attributes and ... -
VC-dimension of univariate decision trees
(IEEE-INST Electrical Electronics Engineers Inc, 2015-02-25)In this paper, we give and prove the lower bounds of the Vapnik-Chervonenkis (VC)-dimension of the univariate decision tree hypothesis class. The VC-dimension of the univariate decision tree depends on the VC-dimension ... -
Quadratic programming for class ordering in rule induction
(Elsevier Science BV, 2015-03-01)Separate-and-conquer type rule induction algorithms such as Ripper, solve a K>2 class problem by converting it into a sequence of K - 1 two-class problems. As a usual heuristic, the classes are fed into the algorithm in ... -
Assessment of algorithms for mitosis detection in breast cancer histopathology images
(Elsevier Science BV, 2015-02)The proliferative activity of breast tumors, which is routinely estimated by counting of mitotic figures in hematoxylin and eosin stained histology sections, is considered to be one of the most important prognostic markers. ... -
Software defect prediction using Bayesian networks
(Springer, 2014-02)There are lots of different software metrics discovered and used for defect prediction in the literature. Instead of dealing with so many metrics, it would be practical and easy if we could determine the set of metrics ... -
Facial expression recognition based on anatomy
(Academic Press Inc Elsevier Science, 2014-02)In this study, we propose a novel approach to facial expression recognition that capitalizes on the anatomical structure of the human face. We model human face with a high-polygon wireframe model that embeds all major ... -
On the feature extraction in discrete space
(Elsevier Sci Ltd, 2014-05)In many pattern recognition applications, feature space expansion is a key step for improving the performance of the classifier. In this paper, we (i) expand the discrete feature space by generating all orderings of values ...