Yazar "Uysal, Alper Kurşat" için Bildiri Koleksiyonu 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, ... -
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 ... -
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 ...