Yazar "Uysal, Alper Kurşat" için listeleme
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Classification of Medical Documents According to Diseases
Parlak, Bekir; Uysal, Alper Kurşat (IEEE, 2015)Medical text classification is still one of the popular research problems inside text classification domain. Apart from some text data compiled from hospital records, most of the researchers in this field evaluate their ... -
Classification of medical documents according to diseases [Tibbi dokümanlarin hastaliklara göre siniflandirilmasi]
Parlak, Bekir; Uysal, Alper Kurşat (Institute of Electrical and Electronics Engineers Inc., 2015)Medical text classification is still one of the popular research problems inside text classification domain. Apart from some text data compiled from hospital records, most of the researchers in this field evaluate their ... -
Detection of SMS spam messages on mobile phones [Mobi·l telefonlarda i·stenmeyen SMS mesajlarinin beli·rlenmesi·]
In this study, a novel "SMS spam message filter" utilizing effective feature selection and pattern classification techniques is proposed. The proposed filter detects and filters out SMS spam messages in a smart manner ... -
ECG Based Biometric Authentication Using Ensemble of Features
Ergin, Semih; Uysal, Alper Kurşat; Günal, Efnan Sora; Günal, Serkan; Gülmezoğlu, M. Bilginer (IEEE, 2014)In this work, the efficacy of various features on electrocardiogram (ECG) based biometric authentication process is thoroughly examined. In particular, the features acquired from temporal analysis, wavelet transformation, ... -
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 ... -
An improved global feature selection scheme for text classification
Uysal, Alper Kurşat (Pergamon-Elsevier Science LTD, 2016)Feature selection is known as a good solution to the high dimensionality of the feature space and mostly preferred feature selection methods for text classification are filter-based ones. In a common filter-based feature ... -
A novel framework for SMS spam filtering
A novel framework for SMS spam filtering is introduced in this paper to prevent mobile phone users from unsolicited SMS messages. The framework makes use of two distinct feature selection approaches based on information ... -
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 classification of abstracts obtained from medical journals
Parlak, Bekir; Uysal, Alper Kurşat (SAGE Publications LTD, 2019)Classification of medical documents was mostly carried out on English data sets and these studies were performed on hospital records rather than academic texts. The main reasons behind this situation are the lack of publicly ... -
On feature weighting and selection for medical document classification
Parlak, Bekir; Uysal, Alper Kurşat (Springer Verlag, 2018)Medical document classification is still one of the popular research problems inside text classification domain. In this study, the impact of feature selection and feature weighting on medical document classification is ... -
On Two-Stage Feature Selection Methods for Text Classification
Uysal, Alper Kurşat (IEEE-Inst Electrical Electronics Engineers Inc, 2018)Text classification is a high dimensional pattern recognition problem where feature selection is an important step. Although researchers still propose new feature selection methods, there exist many two-stage feature ... -
Sentiment classification: Feature selection based approaches versus deep learning
Uysal, Alper Kurşat; Murphey, Yi Lu (IEEE, 2017)Classification of text documents is commonly carried out using various models of bag-of-words that are generated using feature selection methods. In these models, selected features are used as input to well-known classifiers ... -
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, ... -
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 ...
