Search Results - "Tüfekci, Pınar"

Prediction of full load electrical power output of a base load operated combined cycle power plant using machine learning methods by Tuefekci, Pinar

“…•A comparison of regression analysis for predicting electrical power output of a power plant.•Determination of the best subset among all feature subsets of the…”
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Kötü Amaçlı Yazılım Tespiti için Makine Öğrenmesi Algoritmalarının Kullanımı by TÜFEKCİ, Pınar, ÖNAL, Çetin Mutlu

“…Gelişen teknoloji sayesinde bilgiye kolay erişim sağlansa da, bu durum kötü amaçlı eylemlerin artışına da sebep olmuştur. Android işletim sistemlerinde…”
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Biological gender identification in Turkish news text using deep learning models by Tüfekci, Pınar, Bektaş Kösesoy, Melike

“…Identifying the biological gender of authors based on the content of their written work is a crucial task in Natural Language Processing (NLP). Accurate…”
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Author and genre identification of Turkish news texts using deep learning algorithms by TÜFEKCİ, PINAR, BEKTAŞ, MELİKE

“…Nowadays, the increasing amount of data has brought the need to classify the data. Text classification is the process of categorizing similar text data. This…”
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A model for predicting drying time period of wool yarn bobbins using computational intelligence techniques by Akyol, Ugur, Tüfekci, Pınar, Kahveci, Kamil, Cihan, Ahmet

“…In this study, a predictive model has been developed using computational intelligence techniques for the prediction of drying time in the wool yarn bobbin…”
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A novel algorithm for extracting the user reviews from web pages by Uçar, Erdem, Uzun, Erdinç, Tüfekci, Pınar

“…Extracting the user reviews in websites such as forums, blogs, newspapers, commerce, trips, etc. is crucial for text processing applications (e.g. sentiment…”
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Virtual reality based 9 Hole Peg Test by Tufekci, Pinar, Gungor, Halil Ibrahim, Yilmaz, Alican

“…A physical test called the "9-Hole Peg Test" (9-HPT) is being used to measure progress in neurological disease, physiotherapy and rehabilitation treatment…”
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Author detection by using different term weighting schemes by Tufekci, P., Uzun, E.

“…In this study, the impact of term weighting on author detection as a type of text classification is investigated. The feature vector being used to represent…”
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