| From concept drift to model degradation: An overview on performance-aware drift detectors F Bayram, BS Ahmed, A Kassler Knowledge-Based Systems 245, 108632, 2022 | 121 | 2022 |
| A systematic mapping study of source code representation for deep learning in software engineering HP Samoaa, F Bayram, P Salza, P Leitner IET Software 16 (4), 351-385, 2022 | 13 | 2022 |
| DA-LSTM: A dynamic drift-adaptive learning framework for interval load forecasting with LSTM networks F Bayram, P Aupke, BS Ahmed, A Kassler, A Theocharis, J Forsman Engineering Applications of Artificial Intelligence 123, 106480, 2023 | 10 | 2023 |
| AIDA—A holistic AI-driven networking and processing framework for industrial IoT applications H Chahed, M Usman, A Chatterjee, F Bayram, R Chaudhary, A Brunstrom, ... Internet of Things 22, 100805, 2023 | 6 | 2023 |
| Predicting tennis match outcomes with network analysis and machine learning F Bayram, D Garbarino, A Barla SOFSEM 2021: Theory and Practice of Computer Science: 47th International …, 2021 | 6 | 2021 |
| A Drift Handling Approach for Self-Adaptive ML Software in Scalable Industrial Processes F Bayram, BS Ahmed, E Hallin, A Engman 37th IEEE/ACM International Conference on Automated Software Engineering, 1-5, 2022 | 2 | 2022 |
| A domain-region based evaluation of ML performance robustness to covariate shift F Bayram, BS Ahmed Neural Computing and Applications 35 (24), 17555-17577, 2023 | 1 | 2023 |
| DQSOps: Data Quality Scoring Operations Framework for Data-Driven Applications F Bayram, BS Ahmed, E Hallin, A Engman 27th International Conference on Evaluation and Assessment in Software …, 2023 | | 2023 |
| Towards Robust and Adaptive Machine Learning: A Fresh Perspective on Evaluation and Adaptation Methodologies in Non-Stationary Environments F Bayram Karlstads universitet, 2023 | | 2023 |
Bestoun S. AhmedProfessor in Computer Science, Karlstad UniversityVerified email at kau.se
