(A-1)
1-) Aydar Erkan, Çubukçu Hüseyin Evren, Bal Çağatay, Cluzel Nicolas, Aladağ Çağdaş Hakan, Ersoy Orkun, Laporte Didier, 2024. Volcanic jets to commercial jets: synopsis and diagnosis. BULLETIN OF VOLCANOLOGY
(A-4)
1-) Gökçeoğlu Candan, Bal Çağatay, Aladağ Çağdaş Hakan, 2023. Modeling of Tunnel Boring Machine Performance Employing Random Forest Algorithm. GEOTECHNICAL AND GEOLOGICAL ENGINEERING
2-) Bal Çağatay, Demir Serdar, 2020. JMASM 55: MATLAB Algorithms and Source Codes of'cbnet'Function for Univariate Time Series Modeling with Neural Networks (MATLAB). The Journal of Modern Applied Statistical Method
3-) Bal Çağatay, Demir Serdar, 2017. Forecasting TRY/USD Exchange Rate with Various Artificial Neural Network Models. Journal of Association for Information Communication Technologies, Education and Science
(A-5)
1-) Bal Çağatay, Demir Serdar, 2017. A Comparative Study of Artificial Neural Network Models forForecasting USD/EUR-GBP-JPY-NOK Exchange Rates. Journal of Emerging Issues in Economics, Finance and Banking
2-) Bal Çağatay, Demir Serdar, Aladağ Çağdaş Hakan, 2016. A Comparison of Different Model SelectionCriteria for Forecasting EURO USD ExchangeRates by Feed Forward Neural Network. International Journal of Computing, Communication and Instrumentation Engineering (IJCCIE)
(A-7)
1-) Bal Çağatay, Yılmaz Ersin, 2022. Modelling Right-Censored Data with Partially Linear Model and Feed Forward Neural Networks: A Methodological Study. Türkiye Klinikleri Biyoistatistik Dergisi
(B-1)
1-) Yılmaz Ersin, Bal Çağatay, Eren Zeynep Filiz, 2019. Completing right-censored data in time-series modelling. International Conference on Artificial Intelligence and Data Processing
2-) Bal Çağatay, Demir Serdar, 2018. Adaptive Weighted Performance Criterion for Artificial Neural Networks. 2018 International Conference on Artificial Intelligence and Data Processing (IDAP)
(B-2)
1-) Bal Çağatay, 2024. Comparison Of Cbnet Function With Toolbox In Matlab For Univariate Time Series Forecasting. Anadolu 16. Uluslararası Uygulamalı Bilimler Kongresi
2-) Bal Çağatay, 2024. Investigation Of Artificial Neural Networks Architecture Selection For USD/JPY Exchange Rate. Anadolu 16. Uluslararası Uygulamalı Bilimler Kongresi
(B-3)
1-) Bal Çağatay, Demir Serdar, Aladağ Çağdaş Hakan, 2022. Using Kullback–Leibler Divergence As Loss Function In Convolutional Neural Networks For Distribution Comparison. The 12th International Statistics Days Conference
2-) Bal Çağatay, Demir Serdar, 2019. Investigation of Criteria for The Best Architecture Selection of Artificial Neural Networks. 2nd International Conference on Data Science and Applications
3-) Bal Çağatay, Yılmaz Ersin, 2017. Comparison of Feed Forward Neural Networks and Partially Linear Model for Estimation of Right-Censored Data. International Conference on Mathematics and Engineering
4-) Bal Çağatay, Demir Serdar, 2017. A Study on Generalization of Extended Weighted Performance Criterion for Artificial Neural Networks. International Conference On Mathematics and Engineering
5-) Bal Çağatay, Demir Serdar, 2017. Using Artificial Neural Networks for Forecasting of Municipal Solid Waste Per Capita. 1st International Web Conference on Forecasting
6-) Bal Çağatay, Demir Serdar, 2017. On the Behaviour of Artificial Neural Networks Parameters. 1st International Web Conference on Forecasting
7-) Bal, C., Demır, S., 2016. An Extended Weighted Information Criterion for Artificial Neural Networks. 10th International Statistics Days Conference (ISDC’2016)
8-) Bal, C., Demır, S., Aladag, C.H., 2016. Earthquake Forecast Modeling Comparison with Artificial Neural Networks and Conventional Time Series Approaches In Case Of Mugla, Turkey. 2. Uluslararası Araştırmacılar, İstatistikçiler ve Genç İstatistikçiler Kongresine (2. UAİGİ - 2016)
9-) Bal, C., Demır, S., Aladag, C.H., 2016. Forecasting TRY/USD Exchange Rate with Different Artificial Neural Network Models. 2. Uluslararası Araştırmacılar, İstatistikçiler ve Genç İstatistikçiler Kongresine (2. UAİGİ - 2016)
10-) Bal, C., Demır, S., Aladag, C.H., 2015. Forecasting EURO/USD Exchange Rates with Different Model Selection Criteria. 2015 The 4th International Conference on Pure and Applied Mathematics (ICPAM 2015)
(C-5)
1-) Bal Çağatay, Aladağ Çağdaş Hakan, 2022. Modeling and Advanced Techniques in Modern Economics/Time Series Modeling with Deep Neural Networks. Yayın Evi: WORLD SCIENTIFIC Editör Adı: Aladağ Çağdaş Hakan, Potas Nihan
2-) Bal Çağatay, Demir Serdar, 2022. Modeling and Advanced Techniques in Modern Economics/Criteria for Best Architecture Selection in Artificial Neural Networks. Yayın Evi: WORLD SCIENTIFIC Editör Adı: Aladağ Çağdaş Hakan, Potas Nihan
(D-10) Hakemlikler
1-) Mathematical Problems in Engineering - 2015
(D-11) Hakemlikler
1-) An Official Journal of Turkish Fuzzy Systems Association - 2015
2-) Aloy Journal of Soft Computing and Applications - 2015
3-) Journal of Computer Science - 2015
(E-1)
1-) Modeling of Tunnel Boring Machine Performance Employing Random Forest Algorithm - Atıf Yılı: 2024 Atıf Sayısı: 4
(E-2)
1-) Modeling of Tunnel Boring Machine Performance Employing Random Forest Algorithm - Atıf Yılı: 2024 Atıf Sayısı: 1
2-) Forecasting TRY/USD Exchange Rate with Various Artificial Neural Network Models - Atıf Yılı: 2024 Atıf Sayısı: 1
3-) A Comparison of Different Model SelectionCriteria for Forecasting EURO USD ExchangeRates by Feed Forward Neural Network - Atıf Yılı: 2023 Atıf Sayısı: 1
4-) JMASM 55: MATLAB Algorithms and Source Codes of'cbnet'Function for Univariate Time Series Modeling with Neural Networks (MATLAB) - Atıf Yılı: 2023 Atıf Sayısı: 1
(E-3)
1-) Modeling of Tunnel Boring Machine Performance Employing Random Forest Algorithm - Atıf Yılı: 2024 Atıf Sayısı: 1
2-) Adaptive Weighted Performance Criterion for Artificial Neural Networks - Atıf Yılı: 2024 Atıf Sayısı: 1
3-) JMASM 55: MATLAB Algorithms and Source Codes of'cbnet'Function for Univariate Time Series Modeling with Neural Networks (MATLAB) - Atıf Yılı: 2023 Atıf Sayısı: 1
(E-4)
1-) A Comparative Study of Artificial Neural Network Models forForecasting USD/EUR-GBP-JPY-NOK Exchange Rates - Atıf Yılı: 2024 Atıf Sayısı: 1
(E-5)
1-) Adaptive Weighted Performance Criterion for Artificial Neural Networks - Atıf Yılı: 2024 Atıf Sayısı: 1
2-) Modeling of Tunnel Boring Machine Performance Employing Random Forest Algorithm - Atıf Yılı: 2024 Atıf Sayısı: 1
3-) A Comparison of Different Model SelectionCriteria for Forecasting EURO USD ExchangeRates by Feed Forward Neural Network - Atıf Yılı: 2023 Atıf Sayısı: 1
(E-8)
1-) JMASM 55: MATLAB Algorithms and Source Codes of'cbnet'Function for Univariate Time Series Modeling with Neural Networks (MATLAB) - Atıf Yılı: 2023 Atıf Sayısı:
(G-11)
1-) Proje Durum: Tamamlandı. Projedeki Görev: Araştırmacı. Konu: Yapay Sinir Ağlarında En İyi Mimari Seçimi . Proje Türü: Yükseköğretim Kurumları tarafından destekli bilimsel araştırma projesi. Yapay Sinir Ağlarında En İyi Mimari Seçimi İçin Kullanılan Kriterlerinin İncelenmesi. 2016-2016
(Ğ-9)
1-) Kurum Adı: . Honorarium for Cagatay Bal Guest lecture. 2024
(L-10)
1-) SINAV KOMITESI. Türkiye. . 2024
(L-24)
1-) Estimating the İnitial Parameters in Artificial Neural Networks for Time Series with Kernel Density Estimator. ABD. . 2024