| A new model selection strategy in time series forecasting with artificial neural networks: IHTS S Aras, İD Kocakoç Neurocomputing 174, 974-987, 2016 | 100 | 2016 |
| Comparative study on retail sales forecasting between single and combination methods S Aras, İ Deveci Kocakoç, C Polat Journal of Business Economics and Management 18 (5), 803-832, 2017 | 74 | 2017 |
| Stacking hybrid GARCH models for forecasting Bitcoin volatility S Aras Expert Systems with Applications 174, 114747, 2021 | 63 | 2021 |
| An interpretable forecasting framework for energy consumption and CO2 emissions S Aras, MH Van Applied energy 328, 120163, 2022 | 34 | 2022 |
| On improving GARCH volatility forecasts for Bitcoin via a meta-learning approach S Aras Knowledge-Based Systems 230, 107393, 2021 | 29 | 2021 |
| Explainable inflation forecasts by machine learning models S Aras, PJG Lisboa Expert Systems with Applications 207, 117982, 2022 | 23 | 2022 |
| A new consensus between the mean and median combination methods to improve forecasting accuracy S Aras, E Gulay Serbian Journal of Management 12 (2), 217-236, 2017 | 9 | 2017 |
| Kripto Para Fiyatlarının Klasik ve Yapay Sinir Ağı Modelleri ile Tahmini S Aras Kafkas Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 10 (20 …, 2019 | 6 | 2019 |
| İzmir'de Kurulu Bir Plastik İşletmesinde Karar Vericinin Optimal Hedeflere Odaklanmasında Toplamsal Model Tabanlı Bulanık Hedef Programlama A Akdeniz, S Aras Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü, 2010 | 6 | 2010 |
| Yapay sinir ağlarında duyarlılık analizleri S Aras PQDT-Global, 2008 | 6 | 2008 |
| Comparing and Combining MLP and NEAT for Time Series Forecasting S Aras, A Nguyen, A White, S He Istanbul University Journal of the School of Business 46 (2), 147-160, 2017 | 5 | 2017 |
| Yapay sinir ağlarıyla zaman serisi tahminlemesinde yeni bir model seçim stratejisi S Aras PQDT-Global, 2013 | 4 | 2013 |
| Bulanık Mantık Tabanlı Ekonometrik Modelleme: Para Talebi-Türkiye Örneği. S Aras, E Gülay Ege Academic Review 11 (3), 2011 | 2 | 2011 |
| Investigating the Effect of Class Balancing Methods on the Performance of Machine Learning Techniques: Credit Risk Application MEF Milli, S Aras, İD Kocakoç İzmir Yönetim Dergisi 5 (1), 55-70, 2024 | 1 | 2024 |
| Fraud Detection by Machine Learning Algorithms: A Case from a Mobile Payment System Ö Güven, S Aras Uluslararası Yönetim İktisat ve İşletme Dergisi 18 (3), 895-911, 2022 | 1 | 2022 |
| Fuzzy Logic Based Econometric Modelling: Money Demand-Evidence From Turkey S Aras, E Gülay Ege Academic Review 11 (3), 349-359, 2011 | 1 | 2011 |
| Does a meta-combining method lead to more accurate forecasts in the decision-making process? E Gulay, S Aras Operations Research and Decisions 34 (3), 101-124, 2024 | | 2024 |
| FRAUD DETECTION BY MACHINE LEARNING ALGORITHMS: A CASE FROM A MOBILE PAYMENT SYSTEM. G Özlem, S ARAS International Journal of Management Economics & Business/Uluslararasi …, 2022 | | 2022 |
| USING TECHNICAL INDICATORS TO PREDICT STOCK PRICE INDEX MOVEMENTS BY MACHINE LEARNING TECHNIQUES S Aras Theory and Research in Social, Human and Administrative Sciences II 1, 249-274, 2020 | | 2020 |
| VOLATILITY MODELLING WITH GARCH HYBRID APPROACH S Aras, E Gulay 6.Yıldız Social Sciences Congress, 239-254, 2019 | | 2019 |
İpek Deveci KocakoçFull Time Professor, Dokuz Eylul UniversityVerified email at deu.edu.tr
