• An adaptive locally connected neuron model: Focusing neuron 

  Tek, Faik Boray (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 

  Bakay, Özge; Avar, Begüm; Yıldız, Olcay Taner (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 

  Erkoç, Tuğba; Ağdoğan, Didem; Eskil, Mustafa Taner (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 

  Tek, Faik Boray; Benli, Kristin Surpuhi; Deveci, Ezgi (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 

  Ehsani, Razieh; Solak, Ercan; Yıldız, Olcay Taner (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 

  Var, Esra; İnan, Ali (Gazi Univ, Fac Engineering Architecture, 2018)

  Selecting a relevant subset of attributes is one of the most important data preprocessing steps of data mining and machine learning solutions. For the classification task, selection is based on the correlation between an ...

• Construction of a Turkish proposition bank 

  Ak, Koray; Toprak, Cansu; Esgel, Volkan; Yıldız, Olcay Taner (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 

  Çayırcı, Erdal; Özçakır, Lütfü (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 

  Yıldız, Olcay Taner; Okutan, Ahmet (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 

  Yıldız, Olcay Taner (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 

  Yıldız, Olcay Taner (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 

  Yıldız, Olcay Taner (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 

  Veta, Mitko; Van Diest, Paul J.; Willems, Stefan Martin; Wang, Haibo; Madabhushi, Anant; Cruz-Roa, Angel; Gonzalez, Fabio; Larsen, Anders Boesen Lindbo; Vestergaard, Jacob Schack Chack; Dahl, Anders Bjorholm; Cireşan, Dan Claudiu; Schmidhuber, Jürgen U.; Giusti, Alessandro; Gambardella, Luca M.; Tek, Faik Boray; Walter, Thomas C.; Wang, Chingwei; Kondo, Satoshi; Matuszewski, Bogdan J.; Precioso, Frédéric; Snell, Violet; Kittler, Josef; De Campos, Teofilo E.; Khan, Adnan M.; Rajpoot, Nasir Mahmood; Arkoumani, Evdokia; Lacle, Miangela M.; Viergever, Max A.; Pluim, Josien P W (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 

  Okutan, Ahmet; Yıldız, Olcay Taner (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 

  Eskil, Mustafa Taner; Benli, Kristin Surpuhi (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 

  Yıldız, Olcay Taner (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 ...

• Robust localization and identification of African clawed frogs in digital images 

  Tek, Faik Boray; Cannavo, Flavio; Nunnari, Giuseppe; Kale, İzzet (Elsevier Science BV, 2014-09)

  We study the automatic localization and identification of African clawed frogs (Xenopus laevis sp.) in digital images taken in a laboratory environment. We propose a novel and stable frog body localization and skin pattern ...

• Factored particle filtering with dependent and constrained partition dynamics for tracking deformable objects 

  Eskil, Mustafa Taner (Springer, 2014-10)

  In particle filtering, dimensionality of the state space can be reduced by tracking control (or feature) points as independent objects, which are traditionally named as partitions. Two critical decisions have to be made ...

• Nearest neighbor weighted average customization for modeling faces 

  Abeysundera, Hasith Pasindu; Benli, Kristin Surpuhi; Eskil, Mustafa Taner (Springer, 2013-10)

  In this paper, we present an anatomically accurate generic wireframe face model and an efficient customization method for modeling human faces. We use a single 2D image for customization of the generic model. We employ ...

• Omnivariate rule induction using a novel pairwise statistical test 

  Yıldız, Olcay Taner (IEEE Computer Soc, 2013-09)

  Rule learning algorithms, for example, RIPPER, induces univariate rules, that is, a propositional condition in a rule uses only one feature. In this paper, we propose an omnivariate induction of rules where under each ...

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