| Exploring the relationship between refactoring and code debt indicators R Halepmollasi, A Tosun Journal of Software: Evolution and Process, e2447, 2022 | 5 | 2022 |
| A Comparison of Source Code Representation Methods to Predict Vulnerability Inducing Code Changes R Halepmollası, K Hanifi, RF Fouladi, A Tosun ENASE, 2023 | 4 | 2023 |
| A Comparative Study on Cloud-based and Edge-Based Digital Twin Frameworks for Prediction of Cardiovascular Disease H Dervişoğlu, B Ülver, RA Yurtoglu, R Halepmollasi, M Haklidir 9th International Conference on Information and Communication Technologies …, 2023 | 3 | 2023 |
| Towards Federated Learning in Identification of Medical Images: A Case Study R Halepmollası, MZ Kaya, E Eyvaz, R Arkan, A Genc, İ Bilgen, M Haklidir Artificial Intelligence Theory and Applications, 2-4, 2021 | 3 | 2021 |
| A composed technical debt identification methodology to predict software vulnerabilities R Halepmollasi Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 3 | 2020 |
| Alt Sekans Profil Haritaları Kullanılarak Protein Katlanması Tanıma R Halepmollası Fen Bilimleri Enstitüsü, 2016 | 3 | 2016 |
| Federated Learning in Predicting Heart Disease B Ülver, RA Yurtoğlu, H Dervişoğlu, R Halepmollası, M Haklıdır 2023 31st Signal Processing and Communications Applications Conference (SIU …, 2023 | 2 | 2023 |
| Profiling developers to predict vulnerable code changes T Coskun, R Halepmollasi, K Hanifi, RF Fouladi, PC De Cnudde, A Tosun Proceedings of the 18th International Conference on Predictive Models and …, 2022 | 2 | 2022 |
| A Deep Reinforcement Learning Approach to Explore Optimal Policies for Covid-19 Pandemic Mitigation: Preliminary Analysis ML Ozbilen, E Egriboz, R Halepmollasi, I Bilgen, M Haklidir II. International Artificial Intelligence in Health Congress, 2021 | 2 | 2021 |
| Glasses detection in face images using histogram of Oriented Gradients H Gündüz, R Halepmollasi, ÖS Saraç 2014 22nd Signal Processing and Communications Applications Conference (SIU …, 2014 | 2 | 2014 |
| Enhancing Credit Risk Assessment with Federated Learning through A Comparative Study M Aktaş, R Halepmollası, BU Töreyin 8th EAI International Conference on Robotic Sensor Networks, 2024 | | 2024 |
| Predicting Agitation in Dementia Patients Using AI and IoT for Enhanced Real-Time Monitoring and Care MM Dolan, B Ülver, K Basım, R Halepmollası, M Haklıdır IV. International Artificial Intelligence in Health Congress, 2024 | | 2024 |
| Benchmarking Machine Learning and Deep Learning Models for Deepfake Detection in Lung CT Scans M Zeybel, H Dervişoğlu, E Özcan, E Eyvaz, R Hallepmollası, İ Baz, ... IV. International Artificial Intelligence in Health Congress, 2024 | | 2024 |
| Federated Learning for Diabetes Prediction in Healthcare RA Yurtoglu, H Dervişoğlu, M Aktaş, M Daşçılar, R Hallepmollası, İ Baz, ... IV. International Artificial Intelligence in Health Congress, 2024 | | 2024 |
| AI-Driven Detection of Parkinson’s Disease through Vocal Feature Optimization ML Özbilen, F Özen, AŞ Kındap, H Gündüz, R Halepmollası, M Haklıdır1 IV. International Artificial Intelligence in Health Congress, 2024 | | 2024 |
| Experimental Analysis of Synthetic Data Generation Techniques for Privacy-Preserving AI in Medical Imaging S Yolcu, E Özcan, H Dervişoğlu, R Halepmollası, M Haklıdır IV. International Artificial Intelligence in Health Congress, 2024 | | 2024 |
| A Novel Transformation Through Digital Twin and Federated Learning Integration: A Case Study on Cardiovascular Disease Prediction RA Yurtoğlu, H Dervişoğlu, B Ülver, R Halepmollası, M Haklıdır Springer Nature Switzerland, Communications in Computer and Information …, 2024 | | 2024 |
| Artificial Intelligence Approaches for Sustainable Geothermal Energy Systems: With A Case Study FST Haklıdır, F Özen, R Halepmollası, Z Korkmaz, M Haklıdır 49th Workshop on Geothermal Reservoir Engineering, Stanford University, 2023 | | 2023 |
| ENERJİDE YAPAY ZEKÂNIN ROLÜ RAPORU İ Dinçer, PDE Arcaklıoğlu, MA Ezan | | 2022 |
| Unfairness of Deep Learning Methods Arising Gender Bias in Covid-19 Diagnosis of Medical Images H DERVIŞOĞLU, İ BILGEN, R HALEPMOLLASI, B CAN, M HAKLIDIR ARTIFICIAL INTELLIGENCE THEORY, 2021 | | 2021 |
