• Medium access control and routing in industrial wireless sensor networks 

  Erman, Ayşegül Tüysüz; İncel, Özlem Durmaz (CRC Press, 2017-01-01)

  Wireless Sensor Networks (WSNs) appear as a promising solution for industrial applications, especially for monitoring purposes, due to the advantages that they provide [19]. First of all, they overcome the wiring constraints ...

• An incremental model selection algorithm based on cross-validation for finding the architecture of a Hidden Markov model on hand gesture data sets 

  Yıldız, Olcay Taner; Ulaş, Aydın (IEEE, 2009-12-13)

  In a multi-parameter learning problem, besides choosing the architecture of the learner, there is the problem of finding the optimal parameters to get maximum performance. When the number of parameters to be tuned increases, ...

• A robust localization framework to handle noisy measurements in wireless sensor networks 

  Erten, Cesim; Karataş, Ömer (IEEE, 2009-09-14)

  We construct a robust localization framework to handle noisy measurements in wireless sensor networks. Traditionally many approaches employ the distance information gathered from ranging devices of the sensor nodes to ...

• Calculating the VC-dimension of decision trees 

  Yıldız, Olcay Taner; Aslan, Özlem; Alpaydın, Ethem (IEEE, 2009-09-14)

  We propose an exhaustive search algorithm that calculates the VC-dimension of univariate decision trees with binary features. The VC-dimension of the univariate decision tree with binary features depends on (i) the ...

• Soft Decision Trees 

  İrsoy, Ozan; Yıldız, Olcay Taner; Alpaydın, Ethem (IEEE, 2012-11-11)

  We discuss a novel decision tree architecture with soft decisions at the internal nodes where we choose both children with probabilities given by a sigmoid gating function. Our algorithm is incremental where new nodes are ...

• Automated cell nucleus detection for large-volume electron microscopy of neural tissue 

  Tek, Faik Boray; Kroeger, Thorben; Hamprecht, Fred A.; Mikula, Shawn (IEEE, 2014-04-29)

  Volumetric electron microscopy techniques, such as serial block-face electron microscopy (SBEM), generate massive amounts of image data that are used for reconstructing neural circuits. Typically, this requires time-intensive ...

• Sadece kaynak kod kullanarak otomatik yorum oluşturma 

  Yıldız, Eren; Ekin, Emine (IEEE, 2017)

  In this study, automatic comment generation for Java methods is described. It is sufficient that the codes conform to the syntax rules of the Java programming language, and it is not expected to be runnable. In order to ...

• Vikipedi ve Vikisözlük'ten Hypernym çıkarma 

  Şaşmaz, Emre; Ehsani, Razieh; Yıldız, Olcay Taner (IEEE, 2017)

  Large scale dictionaries such as wordnets are one of the important structures used in natural language processing. Wordnet is a comprehensive dictionary containing semantic relations including synonyms, antonyms, etc. In ...

• Kural bazlı otomatik haber etiketleme 

  Özenç, Berke; Solak, Ercan (IEEE, 2017)

  In this study, a rule based application that collects news from public network sources and automatically tags these news gathered has been implemented. The sub-goal of the study is to measure which features are more ...

• Odaklanan nöron 

  Çam, İlker; Tek, Faik Boray (IEEE, 2017)

  The traditional neural network topology is not flexible to change during the training process. Every neuron and it's independent weights in the network are part of the solution function. The proposed focusing neuron model ...

• Elektronik bateri oyunu için somut bir kullanıcı arayüzü 

  Ay, Fahrettin; Engin, İlkan; İnce, Gökhan (IEEE, 2017)

  Along with the widespread use of technology, there have been many studies on human-computer relation recently. Study of the effects of computer systems on human education can be shown as an example of this. In this paper, ...

• An experimental evaluation of prior polarities in sentiment lexicons 

  Kanburoğlu, Ali Buğra; Solak, Ercan (IEEE, 2017)

  We present the results of an experiment to assess the validity of prior polarities available in sentiment lexicons. We designed a ranking task that was elicited through pairwise comparisons and compared the results to those ...

• Bulanık mantık kullanılarak sese duyarlı aydınlatma 

  Kanburoğlu, Ali Buğra; Şaşmaz, Emre (IEEE, 2017)

  Sanayileşmenin ve teknolojinin gelişmesiyle birlikte, geçmişte çözülememiş olan problemler daha kolay çözülebilir hale gelmiştir. İnsan beyninin çalışma mekanizması çeşitli metotlar halinde bilgisayarlarda uygulanmaya ...

• All-words word sense disambiguation for Turkish 

  Açıkgöz, Onur; Gürkan, Ali Tunca; Ertopçu, Burak; Topsakal, Ozan; Özenç, Berke; Kanburoğlu, Ali Buğra; Çam, İlker; Avar, Begüm; Ercan, Gökhan; Yıldız, Olcay Taner (IEEE, 2017)

  Identifying the sense of a word within a context is a challenging problem and has many applications in natural language processing. This assignment problem is called word sense disambiguation(WSD). Many papers in the ...

• Shallow parsing in Turkish 

  Topsakal, Ozan; Açıkgöz, Onur; Gürkan, Ali Tunca; Kanburoğlu, Ali Buğra; Ertopçu, Burak; Özenç, Berke; Çam, İlker; Avar, Begüm; Ercan, Gökhan; Yıldız, Olcay Taner (IEEE, 2017)

  In this study, shallow parsing is applied on Turkish sentences. These sentences are used to train and test the per-formances of various learning algorithms with various features specified for shallow parsing in Turkish.

• Incremental construction of rule ensembles using classifiers produced by different class orderings 

  Yıldız, Olcay Taner; Ulaş, Aydın (IEEE, 2016)

  In this paper, we discuss a novel approach to incrementally construct a rule ensemble. The approach constructs an ensemble from a dynamically generated set of rule classifiers. Each classifier in this set is trained by ...

• A new approach for named entity recognition 

  Ertopçu, Burak; Kanburoğlu, Ali Buğra; Topsakal, Ozan; Açıkgöz, Onur; Gürkan, Ali Tunca; Özenç, Berke; Avar, Begüm; Ercan, Gökhan; Yıldız, Olcay Taner; Çam, İlker (IEEE, 2017)

  Many sentences create certain impressions on people. These impressions help the reader to have an insight about the sentence via some entities. In NLP, this process corresponds to Named Entity Recognition (NER). NLP ...

• Subset selection for tuning of hyper-parameters in artificial neural networks 

  Aki, K. K.Emre; Erkoç, Tuğba; Eskil, Mustafa Taner (IEEE, 2017)

  Hyper-parameters of a machine learning architecture define its design. Tuning of hyper-parameters is costly and for large data sets outright impractical, whether it is performed manually or algorithmically. In this study ...

• 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 ...

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