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

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

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)

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

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)

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

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)

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

1-) Mathematical Problems in Engineering - 2015

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

1-) Modeling of Tunnel Boring Machine Performance Employing Random Forest Algorithm - Atıf Yılı: 2024 Atıf Sayısı: 4

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

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

1-) A Comparative Study of Artificial Neural Network Models forForecasting USD/EUR-GBP-JPY-NOK Exchange Rates - Atıf Yılı: 2024 Atıf Sayısı: 1

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

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:

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

1-) Kurum Adı: . Honorarium for Cagatay Bal Guest lecture. 2024

1-) SINAV KOMITESI. Türkiye. . 2024

1-) Estimating the İnitial Parameters in Artificial Neural Networks for Time Series with Kernel Density Estimator. ABD. . 2024