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  • 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 ...
  • A multilayer annotated corpus for Turkish 

    Yıldız, Olcay Taner; Ak, Koray; Ercan, Gökhan; Topsakal, Ozan; Asmazoğlu, Cengiz (IEEE, 2018-01-01)
    In this paper, we present the first multilayer annotated corpus for Turkish, which is a low-resourced agglutinative language. Our dataset consists of 9,600 sentences translated from the Penn Treebank Corpus. Annotated ...
  • An all-words sense annotated Turkish corpus 

    Akçakaya, Sinan; Yıldız, Olcay Taner (IEEE, 2018-01-01)
    This paper reports our efforts in constructing of a sense labeled Turkish corpus with respect to Turkish Language Institution's dictionary, using the traditional method of manual tagging. We tagged a pre-built parallel ...
  • Creating Important Statement Type Comments in Autocomment: Automatic Comment Generation Framework 

    Yıldız, Eren; Ekin, Emine (IEEE, 2018-01-01)
    This study explains important statement comments generated by Autocomment, which is an automatic comment generation framework described in [1]. To create the comments, the source code is not expected to be runnable, but ...
  • Detection of DHCP Starvation Attacks in Software Defined Networks: A Case Study 

    Toprak, Cansu; Türker, Cem; Tüysüz Erman, Ayşegül (IEEE, 2018-01-01)
    Software Defined Networking (SDN) is an emerging concept that maintains and analyzes the network status with its centralized architecture. This facility ensures network operators to monitor and manage the network elements ...
  • Animal Sound Classification Using A Convolutional Neural Network 

    Şaşmaz, Emre; Tek, Faik Boray (IEEE, 2018-01-01)
    In this paper, we investigate the problem of animal sound classification using deep learning and propose a system based on convolutional neural network architecture. As the input to the network, sound files were preprocessed ...
  • A Haar Classifier B ased C all N umber Detection and Counting Method for Library Books 

    Kanburoğlu, Ali Buğra; Tek, Faik Boray (IEEE, 2018-01-01)
    Counting and organization of books in libraries is a routine and time-consuming task The task gets more complicated by misplaced books in shelves. In order to solve these problems, we propose an automated visual call number ...
  • Comparison of Turkish Proposition Banks by Frame Matching 

    Ak, Koray; Bakay, Özge; Yıldız, Olcay Taner (IEEE, 2018-01-01)
    By indicating semantic relations between a predicate and its associated participants in a sentence and identifying the role-bearing constituents, SRL provides an extensive dataset to understand natural languages and to ...
  • Data Set Generation for Analysing of Turkish Semantic and Sentence Similarity 

    Ercan, Gökhan; Erkek, Orcun; Açıkgöz, Onur; Özçelik, Rıza; Parlar, Selen; Yıldız, Olcay Taner (IEEE, 2018-01-01)
    The aim of paper is generate a data set for analysing of Turkish semenatic and sentence similarity.
  • Malaria Parasite Detection with Deep Transfer Learning 

    Var, Esra; Tek, Faik Boray (IEEE, 2018-01-01)
    This study aims to automatically detect malaria parasites (Plasmodium sp) on images taken from Giemsa stained blood smears. Deep learning methods provide limited performance when sample size is low. In transfer learning, ...
  • İlişkisel veri tabanlarında mükerrer kayıtların makine öǧrenmesiyle tespiti 

    Bayrak, Ahmet Tuğrul; Yılmaz, Aykut İnan; Yılmaz, Kemal Burak; Düzağaç, Remzi; Yıldız, Olcay Taner (Institute of Electrical and Electronics Engineers Inc., 2018-07-05)
    Veri miktarının artışına paralel olarak, ilişkisel veri tabanlarında mükerrer kayıtlar da artmaktadır. Artan bu kayıtlar kullanıldıkları rapor veya analizlerde tutarsızlığa sebep olabilmektedir. Bu sorunu en aza indirgemek ...
  • Müşterilerin GSP analizi kullanarak kümelenmesi 

    Pakyürek, Muhammet; Sezgin, Mehmet Selman; Kestepe, Sedat; Bora, Büşra; Düzağaç, Remzi; Yıldız, Olcay Taner (Institute of Electrical and Electronics Engineers Inc., 2018-07-05)
    In this study, customers' behaviors are determined by detecting natural clusterings using existing reservation and customer data. We also customize their services and sales strategies according to these behaviors. The basic ...
  • Doǧrudan pazarlama amaçli hedef kitle analizi 

    Kegeci, Sinan; Özbek, Eyüp Erkan; Türkel, Mustafa Sertaç; Düzag̃aç, Remzi; Yıldız, Olcay Taner (Institute of Electrical and Electronics Engineers Inc., 2018-07-05)
    Direct marketing, which is one of the most popular marketing approaches in the recent years, can be defined as the shortest and most accurate way of matching suitable products with the appropriate people. In this paper, ...
  • Evcil hayvanlar için eylem tanima ve izleme sistemi 

    Demir, Güneycan; Erman, Ayşegül Tüysüz (Institute of Electrical and Electronics Engineers Inc., 2018-07-05)
    In our country, as in the world, domestic animal ownership rate is increasing day by day. Pet owners use a variety of tools and methods to monitor their animals' health. One of the most commonly used methods to track animal ...
  • Implicit theories and self-efficacy in an introductory programming course 

    Tek, Faik Boray; Benli, Kristin Surpuhi; Deveci, Ezgi (IEEE-Inst Electrical Electronics Engineers Inc, 2018-08-01)
    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 ...
  • Constructing a WordNet for Turkish using manual and automatic annotation 

    Ehsani, Razieh; Solak, Ercan; Yıldız, Olcay Taner (Assoc Computing Machinery, 2018-05-01)
    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 ...
  • Differentially private attribute selection for classification 

    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 ...
  • Bagging soft decision trees 

    Yıldız, Olcay Taner; Alpaydın, Ahmet İbrahim Ethem; İrsoy, Ozan (Springer Verlag, 2016)
    The decision tree is one of the earliest predictive models in machine learning. In the soft decision tree, based on the hierarchical mixture of experts model, internal binary nodes take soft decisions and choose both ...

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