Takip et
Fatih KAYAALP
Fatih KAYAALP
Bilgisayar Mühendisliği Doçent, Düzce Üniversitesi
duzce.edu.tr üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Sentiment analysis with machine learning methods on social media
MS Basarslan, F Kayaalp
Ediciones Universidad de Salamanca (España), 2020
692020
Leakage detection and localization on water transportation pipelines: a multi-label classification approach
F Kayaalp, A Zengin, R Kara, S Zavrak
Neural Computing and Applications 28 (10), 2905-2914, 2017
472017
Review of Customer Churn Analysis Studies in Telecommunications Industry
F Kayaalp
Karaelmas Science and Engineering Journal 7 (2), 696-705, 2017
232017
Review of machine learning and deep learning models in agriculture
BAL Fatih, F KAYAALP
International Advanced Researches and Engineering Journal 5 (2), 309-323, 2021
212021
Sentiment analysis on social media reviews datasets with deep learning approach
MS Başarslan, F Kayaalp
Sakarya University Journal of Computer and Information Sciences 4 (1), 35-49, 2021
192021
MBi-GRUMCONV: A novel Multi Bi-GRU and Multi CNN-Based deep learning model for social media sentiment analysis
MS Başarslan, F Kayaalp
Journal of Cloud Computing 12 (1), 5, 2023
172023
A hybrid classification example in the diagnosis of skin disease with cryotherapy and immunotherapy treatment
MS Basarslan, F Kayaalp
2018 2nd International Symposium on Multidisciplinary Studies and Innovative …, 2018
142018
Benchmarking the Clustering Performances of Evolutionary Algorithms: A Case Study on Varying Data Size
F Kayaalp, P Erdogmus
IRBM 41 (5), 267-275, 2020
132020
A hybrid classification example in describing chronic kidney disease
F Kayaalp, MS Basarslan, K Polat
2018 Electric Electronics, Computer Science, Biomedical Engineerings …, 2018
122018
A novel deep learning-based hybrid method for the determination of productivity of agricultural products: Apple case study
F Bal, F Kayaalp
IEEE Access 11, 7808-7821, 2023
102023
A mobile app for algorithms learning in engineering education: Drag and drop approach
F Kayaalp, F Dinc
Computer Applications in Engineering Education 30 (1), 235-250, 2022
102022
Performance analysis of fuzzy rough set-based and correlation-based attribute selection methods on detection of chronic kidney disease with various classifiers
MS Başarslan, F Kayaalp
2019 Scientific Meeting on Electrical-Electronics & Biomedical Engineering …, 2019
102019
TSCBAS: A novel correlation based attribute selection method and application on telecommunications churn analysis
F Kayaalp, MS Başarslan, K Polat
2018 International Conference on Artificial Intelligence and Data Processing …, 2018
82018
Sentiment analysis with ensemble and machine learning methods in multi-domain datasets
MS Başarslan, F Kayaalp
Turkish Journal of Engineering 7 (2), 141-148, 2023
72023
Performance Analysis Of Filter Based Feature Selection Methods On Diagnosis Of Breast Cancer And Orthopedics
F Kayaalp, MS Başarslan
6th International Congress on Fundamental and Applied Sciences 2019 …, 2019
72019
Implementation of DEVS based distributed network simulator for large-scale networks
B Cobanoglu, A Zengin, H Ekiz, F Celik, A Kiraz, F Kayaalp
International Journal of Simulation Modelling IJSIMM 13 (2), 147-158, 2014
72014
Telekomünikasyon Sektöründe Müşteri Kayıp Analizi
MS Başarslan, F Kayaalp
Düzce Üniversitesi Fen Bilimleri Enstitüsü, 2017
62017
Performance Evaluation of Classification Algorithms on Diagnosis of Breast Cancer and Skin Disease
MS Basarslan, F Kayaalp
Deep Learning for Cancer Diagnosis, 27-35, 2020
52020
Android İşletim Sistemi Temelli Oryantiring Oyunu Mobil Uygulaması
F Kayaalp, A Satılmış
Türkiye Bilişim Vakfı Bilgisayar Bilimleri ve Mühendisliği Dergisi 11 (1), 1-6, 2018
5*2018
Open Source Data Mining Programs: A Case Study on R
F Kayaalp, MS Başarslan
Düzce Üniversitesi Bilim ve Teknoloji Dergisi 6 (2), 455-468, 2018
42018
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20