Bilgisayar Mühendisliği

YAYINLAR

2022

  • M. M. İLMAN, Ş. YAVUZ, and P. YILDIRIM TAŞER, “Generalized Input Preshaping Vibration Control Approach for Multi-Link Flexible Manipulators using Machine Intelligence,” Mechatronics, vol. 82, pp. 0–0, Apr. 2022.  https://dx.doi.org/10.1016/j.mechatronics.2021.102735

 

2021

  • F. BOZYİĞİT, A. Taşkın, K. Akar, and D. KILINÇ, “A Deep Learning-Based Hotel Image Classifier for Online Travel Agencies,” Deu Muhendislik Fakultesi Fen ve Muhendislik, vol. 23, no. 67, pp. 257–264, Jan. 2021. https://dx.doi.org/10.21205/deufmd.2021236722
  • S. Usluoğlu, D. KILINÇ, and F. BOZYİĞİT, “E-commerce Product Categorization Using Big Data Analytics ,” Artificial Intelligence Theory and Applications, vol. 1, no. 3, pp. 1–8, Sep. 2021. https://dergipark.org.tr/en/download/article-file/2515767
  • C. ALTIN, H. ULUTAŞ, E. ORHAN, O. ER, and V. AKDOĞAN, “Internet of Things Technology Based Agricultural Spraying Drone Design for Remote Farming Applications,” Celal Bayar Üniversitesi Fen Bilimleri Dergisi, vol. 17, no. 3, pp. 253–260, Sep. 2021. https://dx.doi.org/10.18466/cbayarfbe.781368
  • R. S. ARSLAN, E. OLMEZ, and O. ER, “AFWDroid  Android Kötücül Yazılım Tespitinde Derin Özellik Çıkarımı ve Ağırlıklandırma,” DÜMF Mühendislik Dergisi, vol. 12, no. 2, pp. 237–245, Mar. 2021. https://dx.doi.org/10.24012/dumf.875036
  • Özbay Karakuş, M., & Er, O. (2022). A comparative study on prediction of survival event of heart failure patients using machine learning algorithms. Neural Computing and Applications, 1-14. https://link.springer.com/article/10.1007/s00521-022-07201-9
  • R. S. ARSLAN, E. OLMEZ, and O. ER, “Use of SMOTE Method in Histological Staging Problem of Hepatitis-C Disease,” Artificial Intelligence Theory and Applications, vol. 1, no. 2, pp. 95–101, May 2021.
  • E. OLMEZ, O. ARETA, and O. ER, “Classification of Breast Cancer using Artificial Neural Network Algorithms,” Artificial Intelligence Theory and Applications, vol. 1, no. 1, pp. 57–68, May 2021. https://dergipark.org.tr/en/pub/aita/issue/70741/1137836
  • P. YILDIRIM TAŞER and V. Khalilpour Akram, “Kapalı Ortamlarda Gerçek Zamanlı Kişi Tespitinde Makine Öğrenmesi Algoritmalarının Karşılaştırmalı Başarım Analizi,” Academic Platform Journal of Engineering and Science, vol. 9, no. 1, pp. 182–193, Jan. 2021. https://dx.doi.org/10.21541/apjes.765795
  • D. KILINÇ and Ö. AKTAŞ, “Linking software requirements and conceptual models  A systematic literature review,” Engineering Science and Technology, an International Journal, vol. 24, pp. 0–0, Jan. 2021. https://dx.doi.org/10.1016/j.jestch.2020.11.006
  • P. YILDIRIM TAŞER and O. DOĞAN, “Sequential Rule Mining for Analysis of Customer Movements in Different Visits,” presented at the 4th European International Conference on Industrial Engineering and Operations Management (IEOM), Roma, 2021. (Tam Metin Bildiri)
  • C. Küçük, D. BİRANT, and P. YILDIRIM TAŞER, “An intelligent multi-output regression model for soil moisture prediction,” presented at the 3rd International Conference on Intelligent and Fuzzy Systems (INFUS 2021), İstanbul, 2021. (Tam Metin Bildiri) https://dx.doi.org/10.1007/978-3-030-85577-2_56
  • O. ER, “Yapay Zekaya Nereden Başlamalıyız ,” presented at the 3. Uluslararası Dr. Behçet Uz Kongresi, İzmir, 2021. (Tam Metin Bildiri)
  • E. B. ÇİMEN, İ. Kurban, Ö. Selmanoğlu, M. ŞAHİN, and D. KILINÇ, “A Hybrid Stock optimization Approach for Inventory Management,” presented at the 2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) , 2021. (Tam Metin Bildiri)

 

2020

  • M. C. ATLIOĞLU, M. BOLAT, M. ŞAHİN, V. TUNALI, and D. KILINÇ, “Supervised Learning Approaches to Flight Delay Prediction,” Sakarya University Journal of Science, vol. 24, no. 6, pp. 1223–1231, Dec. 2020.https://doi.org/10.16984/saufenbilder.710107
  • F. YÜCALAR, A. ÖZÇİFT, E. BORANDAĞ, and D. KILINÇ, “Multiple-classifiers in software quality engineering  Combining predictors to improve software fault prediction ability,” Engineering Science and Technology, an International Journal, vol. 23, no. 4, pp. 938–950, Aug. 2020. https://doi.org/10.1016/j.jestch.2019.10.005
  • M. Erşahin, S. UTKU, D. KILINÇ, and B. ERŞAHİN, “Information retrieval-based bug localization approach with adaptive attribute weighting,” TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, vol. 29, pp. 1598–1614, Jan. 2021. https://dx.doi.org/10.3906/elk-2006-14
  • F. BOZYİĞİT, Ö. AKTAŞ, and D. KILINÇ, “Linking software requirements and conceptual models  A systematic literature review,” Engineering Science and Technology, an International Journal, vol. 24, no. 1, pp. 71–82, Jan. 2021. https://dx.doi.org/10.1016/j.jestch.2020.11.006
  • Ölmez, E., Akdoğan, V., Korkmaz, M., & Er, O. (2020). Automatic segmentation of meniscus in multispectral MRI using regions with convolutional neural network (R-CNN). Journal of Digital Imaging, 33(4), 916-929. https://dx.doi.org/10.1007/s10278-020-00329-x
  • V. Khalilpour Akram and P. YILDIRIM TAŞER, “Telsiz Duyarga Ağlarda Bizans Saldırılarının Topluluk Öğrenme-tabanlı Tespiti,” Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi, pp. 0–0, Sep. 2020. https://doi.org/10.21205/deufmd.2020226624
  • P. YILDIRIM TAŞER, K. U. BİRANT, and D. BİRANT, “Multitask-based association rule mining,” Turkish Journal of Electrical Engineering and Computer Sciences, vol. 28, no. 2, pp. 933–955, Mar. 2020. https://dx.doi.org/10.3906/elk-1905-88
  • Başaran, K., Bozyiğit, F., Siano, P., Yıldırım Taşer, P., & Kılınç, D. (2020). Systematic literature review of photovoltaic output power forecasting. IET Renewable Power Generation, 14(19), 3961-3973. https://doi.org/10.1049/iet-rpg.2020.0351
  • F. BOZYİĞİT, M. ŞAHİN, F. ERDEMİR, and D. KILINÇ, “Classification of electrocardiogram  ECG  data using deep learning methods,” presented at the 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) , 2020. (Tam Metin Bildiri) https://dx.doi.org/10.1109/ISMSIT50672.2020.9255000
  • Y. YANIKOĞLU, D. KIZILKAYAK, S. AYDOĞDU, F. BOZYİĞİT, D. KILINÇ, and A. O. DURAHİM, “EVOLUTIONARY ALGORITHM FOR RESOURCE CONSTRAINT PROJECT SCHEDULING PROBLEM,” presented at the International Management Information Systems Conference (IMISC) 2019 , 2019. (Tam Metin Bildiri)
  • P. YILDIRIM TAŞER, “Application of bagging and boosting approaches using decision tree-based algorithms in diabetes risk prediction,” presented at the 7th International Management Information Systems Conference , 2020. (Tam Metin Bildiri)
  • G. ÖNSAL, P. YILDIRIM TAŞER, and O. UĞURLU, “FTALOSİYANİN KATKILI NEMATİK SIVI KRİSTAL KOMPOZİT YAPILARIN ÖZELLİKLERİNİN ARAŞTIRILMASI VE MAKİNE ÖĞRENMESİ ALGORİTMALARI KULLANILARAK DİELEKTRİK SABİTİNİN TAHMİNİ,” presented at the MAS INTERNATIONAL EUROPEANCONFERENCE ON MATHEMATICSENGINEERING-NATURAL MEDICAL SCIENCES-XII , 2020. (Özet Bildiri)

 

2019

  • Deniz Kılınç, A Spark-based Big Data analysis framework for real-time sentiment prediction on streaming data, Software: Practice and Experience, Vol. 49 Issue 9, pp. 1352-1364., 2019.
  • Kivanc Basaran, Akın Özçift, Deniz Kılınç, A new approach for prediction of solar radiation with using ensemble learning algorithm, ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, Vol. 44, Issue 8, pp. 7159-71, 2019.
  • Fatma Bozyigit, Özlem Aktaş, Deniz Kılınç, Automatic concept identification of software requirements in Turkish, TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, Vol.27, Issue.1, pp.453-470, 2019.
  • Buket Erşahin, Özlem Aktaş, Deniz Kılınç, Mustafa Erşahin, A hybrid sentiment analysis method for Turkish, TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, Vol.27, Issue.3, 1780-1793, 2019.
  • Emin Borandag, Fatih Yücalar, Akın Özçift, Deniz Kılınç, Majority Vote Feature Selection Algorithm in Software Fault Prediction, Computer Science and Information Systems (COMSIS) , Vol. 16, Issue.2,pp 515-539, 2019.
  • Akın Özçift, Deniz Kılınç, Fatma Bozyiğit. “Application of grid search parameter optimized bayesian logistic regression algorithm to detect cyberbullying in Turkish microblog data”, Academic Platform-Journal of Engineering and Science, accepted (2019).
  • Fatih Mehmet Yildirim, Selin Nur Öztürk, Abdullah Kaya and Deniz Kılınç, "A Real-World Text Classification Application for an E-commerce Platform", Conference on Innovations in Intelligent Systems and Applications (ASYU 2019), 31 October-02 November 2019, İzmir.
  • Serdar Korhan Konaray, Aykut Toprak, Gamze Mat Pek, Hüseyin Akçekoce and Deniz Kılınç, "Detecting File Types Using Machine Learning Algorithms", Conference on Innovations in Intelligent Systems and Applications (ASYU 2019), 31 October-02 November 2019, İzmir.
  • Fatih Mehmet Yildirim, Abdullah Kaya and Deniz Kılınç, "A Fashion Image Product Recommendation System using Deep Learning", International Conference on Data Science and Applications (ICONDATA 2019), 03-06 October 2019, Balıkesir.
  • Kübra Akgözlüoğlu, Deniz Kılınç and Fatma Bozyiğit, "An Expert System of Price Forecasting for Second Hand Cars Using Regression Models ", International Conference on Data Science and Applications (ICONDATA 2019), 03-06 October 2019, Balıkesir.
  • Didem Genç, Emrah Tomur, Yusuf Murat Erten, “Context-Aware Operation-Based Access Control for Internet of Things Applications”, 2019 International Symposium on Networks, Computers and Communications (ISNCC), 19-20 June 2019, Istanbul
  • Kökten Ulaş Birant, Pelin Yıldırım, Derya Birant, “EMIC: An Ensemble Approach for Improving Multi-Instance Classification”, 3rd International Conference on Engineering Technology and Innovation, 17-21 April 2019, Belgrade, Serbia, 2019.
  • Akın Özçift, Deniz Kılınç, Fatma Bozyiğit. “Application of grid search parameter optimized bayesian logistic regression algorithm to detect cyberbullying in Turkish microblog data”, Academic Platform-Journal of Engineering and Science, accepted (2019).
  • P. YILDIRIM TAŞER, K. U. BİRANT, and D. BİRANT, “Comparison of Ensemble-Based Multiple Instance Learning Approaches,” presented at the 2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA), Sofya, 2019. (Tam Metin Bildiri) https://dx.doi.org/10.1109/INISTA.2019.8778273
  • K. U. BİRANT, P. YILDIRIM TAŞER, H. Ö. DİNDAR, and D. BİRANT, “Recommendation System with Association Rule Mining and Mobile Augmented Reality,” presented at the 2019 Innovations in Intelligent Systems and Applications Conference (ASYU), Izmir, 2019. (Tam Metin Bildiri) https://dx.doi.org/10.1109/ASYU48272.2019.8946401
  • K. U. BİRANT, P. YILDIRIM TAŞER, and D. BİRANT, “EMIC  An Ensemble Approach for Improving Multi-Instance Classification,” presented at the 3rd International Conference on Engineering Technology and Innovation, Belgrad, 2019. (Tam Metin Bildiri)
  • S. KONARAY, A. TOPRAK, G. PEK, H. AKÇEKOCE, and D. KILINÇ, “Detecting File Types Using Machine Learning Algorithms,” presented at the Conference on Innovations in Intelligent Systems and Applications (ASYU 2019) , 2019.(Tam Metin Bildiri)
  • M. YILDIRIM, S. ÖZTÜRK, A. KAYA, and D. KILINÇ, “A Real-World Text Classification Application for an E-commerce Platform,” presented at the Conference on Innovations in Intelligent Systems and Applications (ASYU 2019) , 2019. (Tam Metin Bildiri)
  • Y. YANIKOĞLU, D. KIZILKAYAK, S. AYDOĞDU, F. BOZYİĞİT, D. KILINÇ, and A. O. DURAHİM, “EVOLUTIONARY ALGORITHM FOR RESOURCE CONSTRAINT PROJECT SCHEDULING PROBLEM,” presented at the International Management Information Systems Conference (IMISC) 2019 , 2019. (Tam Metin Bildiri)
  • M. YILDIRIM, A. KAYA, and D. KILINÇ, “An Expert System of Price Forecasting for Second Hand Cars Using Regression Models,” presented at the International Conference on Data Science and Applications (ICONDATA 2019) , 2019. (Özet Bildiri)
  • M. YILDIRIM, A. KAYA, and D. KILINÇ, “A Fashion Image Product Recommendation System using Deep Learning,” presented at the International Conference on Data Science and Applications (ICONDATA 2019) , 2019. (Özet Bildiri)