• Deep learning and word embedding-based heterogeneous classifier ensembles for text classification 

  Kilimci, Zeynep Hilal; Akyokuş, Selim (Hindawi, 2018)

  The use of ensemble learning, deep learning, and effective document representation methods is currently some of the most common trends to improve the overall accuracy of a tex classification/categorization system. Ensemble ...

• An agent cooperation model and dependency measurement based on merge and synthesis on shared timed task environments 

  Kılıç, Hürevren (Springer, 2018)

  In this paper, we analyze cooperation phenomena based on agent synthesis on merge of timed two-input discrete transition systems. The model allows handling of possible incomplete task environment descriptions and representation ...

• Extended feature spaces based classifier ensembles for sentiment analysis of short texts 

  Kilimci, Zeynep Hilal; Omurca, Sevinç İlhan (Kaunas University of Technology, 2018)

  Sentiment classification has become very popular to analyze opinions about events, products, and so on, especially for social networks such as Twitter. Due to the size limitation of expressing ideas on social networks, the ...

• The evaluation of heterogeneous classifier ensembles for Turkish texts 

  Kilimci, Zenep Hilal; Akyokuş, Selim; Omurca, Sevinç İlhan (IEEE, 2017)

  The basic idea behind the classifier ensembles is to use more than one classifier by expecting to improve the overall accuracy. It is known that the classifier ensembles boost the overall classification performance by ...

• Büyük verilerde finansal piyasa tahmini: derin öğrenme 

  Hasan, Afan; Kalıpsız, Oya; Akyokuş, Selim (IEEE, 2017)

  Derin Öğrenme, büyük miktarda etiketsiz / denetlenmemiş veriden öğrenmeyi başarılı bir şekilde gerçekleştirebildiğinden, büyük verilerden anlamlı gösterimler ve desenler çıkartmayı cazip hale getiriyor. En nasit tanımıyla ...

• Ensemble approach for time series analysis in demand forecasting: Ensemble learning 

  Akyüz, A. Okay; Uysal, Mitat; Bülbül, Berna Atak; Uysal, M. Ozan (IEEE, 2017)

  Demand forecasting for replenishment is one of the main issue for retail industry in terms of optimizing stocks, minimizing costs and also for reducing stock out problem. Better forecasting for demands, means maximizing ...

• SSD efficiency at multiple data frequencies: application on the OECD countries 

  Uğurlu, Umut; Taş, Oktay; Güran, Celal Barkan; Güran, Aysun (Vysoka Skola Ekonomicka, 2018)

  The second order stochastic dominance (SSD) has become exceedingly popular in recent years, due to its ability to determine the dominance of one asset over another for all risk-averse investors without a strict requirement ...

• Switching strategy in tracking constant references for linear time-varying delay systems with actuator failures 

  Li, Qing-Kui; Dimirovski, Georgi M.; Fu, Jun; Wang, Jiuhe (Taylor and Francis, 2017-12)

  Tracking of command constant references is a tracking control problem of fundamental importance. This problem for linear time-varying delay systems in the presence of actuator failures is solved in this article. The linear ...

• Exponential stability for multi-area power systems with time delays under load frequency controller failures 

  Li, Xu; Wang, Rui; Wu, Shu-Nan; Dimirovski, Georgi M. (Wiley, 2017-03)

  This paper investigates the exponential stability problem for a class of multi-area power systems with time delays under load frequency controller failures (LFCFs). For describing the phenomenon of LFCFs, the considered ...

• Adaptive impulsive observers for a class of switched nonlinear systems with unknown parameter 

  Li, Jinghan; Ma, Ruicheng; Dimirovski, Georgi M. (Wiley, 2017-05)

  This work investigates and solves the design of adaptive impulsive observers for a class of uncertain switched nonlinear systems with unknown parameter. Sufficient conditions are derived for designing such observers for ...

• Model-based acceleration control of turbofan engines with a hammerstein-wiener representation 

  Wang, Jiqiang; Ye, Zhifeng; Hu, Zhongzhi Z.; Wu, Xin; Dimirovski, Georgi M.; Yue, Hong (De Gruyter, 2017-05)

  Acceleration control of turbofan engines is conventionally designed through either schedule-based or acceleration-based approach. With the widespread acceptance of model-based design in aviation industry, it becomes necessary ...

• Disturbance attenuation in linear systems revisited 

  Wang, Jiqiang; Yue, Hong; Dimirovski, Georgi M. (Springer, 2017-08)

  A variety of methods have been proposed for attenuating or rejecting disturbances in linear systems. Most of the approaches, however, are targeting the performance either near resonance or across the whole frequency range. ...

• An additive FAHP based sentence score function for text summarization 

  Güran, Aysun; Uysal, Mitat; Ekinci, Yeliz; Güran, Celal Barkan (Kaunas University of Technology, 2017)

  This study proposes a novel additive Fuzzy Analytical Hierarchy Process (FAHP) based sentence score function for Automatic Text Summarization (ATS), which is a method to handle growing amounts of textual data. ATS aims to ...

• Unsupervised and supervised term weigthing methods for character n-gram based author categorization 

  Naiboğlu, H. Selahattin; Kaptıkaçtı, Oğuz; Sardal, E. Cemre; Güran, Aysun; Uysal, Mitat (Computers and Industrial Engineering, 2014)

  Author categorization considers the problem of identifying the author of an anonymous article. The goal of this work is to identify authors of articles by using different character n-gram based representations of documents. ...

• Dwell-time-based stabilization of switched linear singular systems with all unstable-mode subsystems 

  Li, Jinghan; Ma, Ruicheng; Dimirovski, Georgi M.; Fu, Jun (Elsevier, 2017-05)

  The global stabilization design of a class of switched linear singular systems via a novel dwell-time switching is investigated and solved in this work. The distinguishing feature of the proposed method is that stability ...

• Exponential stability for multi-area power systems with time delays under load frequency controller failures 

  Li, Xu; Wang, Rui; Wu, Shu-Nan; Dimirovski, Georgi M. (Wiley-Blackwell, 2017-03)

  This paper investigates the exponential stability problem for a class of multi-area power systems with time delaysunder load frequency controller failures (LFCFs). For describing the phenomenon of LFCFs, the considered ...

• Helmholtz principle based supervised and unsupervised feature selection methods for text mining 

  Tutkan, Melike; Ganiz, Murat Can; Akyokuş, Selim (Elsevier, 2016-09)

  One of the important problems in text classification is the high dimensionality of the feature space. Feature selection methods are used to reduce the dimensionality of the feature space by selecting the most valuable ...

• Quasi-non-linear deformation modeling of a human liver based on artificial and experimental data 

  Doğan, Fırat; Çelebi, Mustafa Serdar (Wiley-Blackwell, 2016-09)

  Background Researchers working on error-prevention theories have shown that the use of replica models within simulation systems has improved operating skills, resulting in better patient outcomes.Methods This study aims ...

• New results on stochastic stability of discrete-time Unscented Kalman Filter 

  Dimirovski, Georgi M. (IEEE, 2012-07)

  Performance of the Unscented Kalman Filter, UKF, for nonlinear stochastic discrete-time systems is investigated. It is proved that under certain conditions, the estimation error of the UKF remains bounded. Furthermore, it ...

• Recent advances in analysis and control design for switched fuzzy systems: A review 

  Ojleska, Vesna; Kolemisevska-Gugulovska, Tatjana D.; Dimirovski, Georgi M. (IEEE, 2012-09)

  This paper overviews recent advances in the field of switched fuzzy systems, switched systems whose subsystems are fuzzy systems, followed by the comparative study for this kind of systems. Starting with the basic ideas ...

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