Kurum Yazarı "Günal, Serkan" Makale Koleksiyonu İçin Listeleme
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Automated categorization scheme for digital libraries in distance learning: A pattern recognition approach
Günal, Serkan (2008)Digital libraries play a crucial role in distance learning. Nowadays, they are one of the fundamental information sources for the students enrolled in this learning system. These libraries contain huge amount of instructional ... -
A computational morphological lexicon for Turkish: TrLex
Aslan, Özkan; Günal, Serkan; Dinçer, Bekir Taner (Elsevier Science BV, 2018)A morphological lexicon that is a computational source should be considered together with derivational morphology especially for agglutinative languages. To the best of our knowledge, in the Turkish language there has been ... -
EDTriangles: a high-speed triangle detection algorithm with a false detection control
Berkaya, Selcan Kaplan; Günal, Serkan; Akınlar, Cüneyt (Springer, 2018)We present a high-speed method for triangular object detection. The proposed method utilizes the recently developed, real-time edge segment detection algorithm, Edge Drawing; hence, the name EDTriangles, which consists of ... -
An F-Score-Weighted Indoor Positioning Algorithm Integrating WiFi and Magnetic Field Fingerprints
Keser, Sinem Bozkurt; Yazıcı, Ahmet; Günal, Serkan (Hindawi LTD, 2018)Indoor positioning systems have attracted much attention with the recent development of location-based services. Although global positioning system (GPS) is a widely accepted and accurate outdoor localization system, there ... -
Hybrid feature selection for text classification
Günal, Serkan (Tubitak Scientific & Technical Research Council Turkey, 2012)Feature selection is vital in the field of pattern classification due to accuracy and processing time considerations. The selection of proper features is of greater importance when the initial feature set is considerably ... -
The Impact of Feature Extraction and Selection on SMS Spam Filtering
Uysal, Alper Kurşat; Günal, Serkan; Ergin, Semih; Günal, E. Sora (Kaunas University Technology, 2013)This paper investigates the impact of several feature extraction and feature selection approaches on filtering of short message service (SMS) spam messages in two different languages, namely Turkish and English. The entire ... -
The impact of preprocessing on text classification
Uysal, Alper Kurşat; Günal, Serkan (Elsevier Sci LTD, 2014)Preprocessing is one of the key components in a typical text classification framework. This paper aims to extensively examine the impact of preprocessing on text classification in terms of various aspects such as classification ... -
The Impact of Text Representation and Preprocessing on Author Identification
Pak, Muhammet Yasin; Günal, Serkan (2017)Author identification, one of the popular topics in text classification and natural language processing, basically aims to determine the author of a given text through various analyses. In the literature, different text ... -
A Low-Computational Approach on Gaze Estimation With Eye Touch System
Topal, Cihan; Günal, Serkan; Kocdeviren, Onur; Doğan, Atakan; Gerek, Ömer Nezih (IEEE-Inst Electrical Electronics Engineers Inc, 2014)Among various approaches to eye tracking systems, light-reflection based systems with non-imaging sensors, e.g., photodiodes or phototransistors, are known to have relatively low complexity; yet, they provide moderately ... -
A Multi-Criteria Decision Strategy to Select a Machine Learning Method for Indoor Positioning System
Yazıcı, Ahmet; Keser, Sinem Bozkurt; Günal, Serkan; Yayan, Uğur (World Scientific Publ Co Pte LTD, 2018)Indoor positioning system is an active research area. There are various performance metrics such as accuracy, computation time, precision, and f-score in machine learning based indoor positioning systems. The aim of this ... -
A novel probabilistic feature selection method for text classification
Uysal, Alper Kurşat; Günal, Serkan (Elsevier Science BV, 2012)High dimensionality of the feature space is one of the most important concerns in text classification problems due to processing time and accuracy considerations. Selection of distinctive features is therefore essential ... -
On circular traffic sign detection and recognition
Berkaya, Selcan Kaplan; Gündüz, Hüseyin; Özşen, Özgür; Akınlar, Cüneyt; Günal, Serkan (Pergamon-Elsevier Science LTD, 2016)Automatic traffic sign detection and recognition play crucial roles in several expert systems such as driver assistance and autonomous driving systems. In this work, novel approaches for circular traffic sign detection and ... -
On constituent chunking for Turkish
Aslan, Özkan; Günal, Serkan; Dinçer, Bekir Taner (Elsevier Sci LTD, 2018)Chunking is a task which divides a sentence into non-recursive structures. The primary aim is to specify chunk boundaries and classes. Although chunking generally refers to simple chunks, it is possible to customize the ... -
The search for optimal feature set in power quality event classification
Günal, Serkan; Gerek, Ömer Nezih; Ece, Doğan Gökhan; Edizkan, Rıfat (Pergamon-Elsevier Science LTD, 2009)The significance of detection and classification of power quality (PQ) events that disturbs the voltage and/or current waveforms in the electrical power distribution networks is well known. Consequently, in spite of a large ... -
Sentiment Classification based on Domain Prediction
Pak, Muhammet Yasin; Günal, Serkan (Kaunas University Technology, 2016)Sentiment classification has received increasing attention in recent years. Supervised learning methods for sentiment classification require considerable amount of labeled data for training purposes. As the number of domains ... -
Subspace based feature selection for pattern recognition
Günal, Serkan; Edizkan, Rıfat (Elsevier Science Inc, 2008)Feature selection is an essential topic in the field of pattern recognition. The feature selection strategy has a direct influence on the accuracy and processing time of pattern recognition applications. Features can be ... -
A survey on ECG analysis
Berkaya, Selcan Kaplan; Uysal, Alper Kurşat; Günal, Efnan Sora; Ergin, Semih; Günal, Serkan; Gülmezoğlu, M. Bilginer (Elsevier Sci LTD, 2018)The electrocardiogram (ECG) signal basically corresponds to the electrical activity of the heart. In the literature, the ECG signal has been analyzed and utilized for various purposes, such as measuring the heart rate, ... -
SWCD: a sliding window and self-regulated learning-based background updating method for change detection in videos
Işık, Şahin; Özkan, Kemal; Günal, Serkan; Gerek, Ömer Nezih (Is&T & Spie, 2018)Change detection with background subtraction process remains to be an unresolved issue and attracts research interest due to challenges encountered on static and dynamic scenes. The key challenge is about how to update ... -
Text classification using genetic algorithm oriented latent semantic features
Uysal, Alper Kurşat; Günal, Serkan (Pergamon-Elsevier Science LTD, 2014)In this paper, genetic algorithm oriented latent semantic features (GALSF) are proposed to obtain better representation of documents in text classification. The proposed approach consists of feature selection and feature ...