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Elife Öztürk Kıyak
Elife Öztürk Kıyak
Department of Computer Engineering (PhD), Dokuz Eylul University
cs.deu.edu.tr üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Comparison of image-based and text-based source code classification using deep learning
EO Kiyak, AB Cengiz, KU Birant, D Birant
SN Computer Science 1 (5), 266, 2020
122020
An improved version of multi-view k-nearest neighbors (MVKNN) for multipleview learning
EÖ KIYAK, D Birant, KU BİRANT
Turkish Journal of Electrical Engineering and Computer Sciences 29 (3), 1401 …, 2021
102021
Comparison of multi-label classification algorithms for code smell detection
EO Kiyak, D Birant, KU Birant
2019 3rd International Symposium on Multidisciplinary Studies and Innovative …, 2019
92019
Data mining and machine learning for software engineering
EO Kiyak
Data Mining-Methods, Applications and Systems, 119, 2020
82020
An Ordinal Classification Approach for Software Bug Prediction
E ÖZTÜRK, KU Birant, D Birant
Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi 21 …, 2019
42019
High-Level K-Nearest Neighbors (HLKNN): A Supervised Machine Learning Model for Classification Analysis
E Ozturk Kiyak, B Ghasemkhani, D Birant
Electronics 12 (18), 3828, 2023
32023
Partial Decision Tree Forest: A Machine Learning Model for the Geosciences
E Ozturk Kiyak, G Tuysuzoglu, D Birant
Minerals 13 (6), 800, 2023
22023
Prediction of crime occurrence in case of scarcity of labeled data
V Kiranoglu, G TÜYSÜZOĞLU, EÖ KIYAK
Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi 23 …, 2021
22021
Application of data mining techniques in software engineering
EO Kiyak
Dokuz Eylül Üniversitesi Fen Bilimleri Enstitüsü, 2023
2023
Multi-view learning for software defect prediction
E Öztürk Kıyak, D Birant, KU Birant
e-Informatica Software Engineering Journal 15 (1), 163-184, 2021
2021
Analysis of feature pattern mining approaches on social network: A case study on Facebook
E Öztürk
PQDT-Global, 2017
2017
A Comparison Study of Apriori, Eclat, FP-Growth and Max-Miner Itemset Mining Algorithms in terms of Dataset Characteristics
E Öztürk, S Şahin
8th International Advanced Technologies Symposium (IATS’17), 1568-1575, 2017
2017
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Makaleler 1–12