| BRIGHT—Drift-aware demand predictions for taxi networks A Saadallah, L Moreira-Matias, R Sousa, J Khiari, E Jenelius, J Gama IEEE Transactions on Knowledge and Data Engineering 32 (2), 234-245, 2018 | 59 | 2018 |
| Real-time prediction of process forces in milling operations using synchronized data fusion of simulation and sensor data F Finkeldey, A Saadallah, P Wiederkehr, K Morik Engineering Applications of Artificial Intelligence 94, 103753, 2020 | 50 | 2020 |
| A drift-based dynamic ensemble members selection using clustering for time series forecasting A Saadallah, F Priebe, K Morik Joint European conference on machine learning and knowledge discovery in …, 2019 | 41 | 2019 |
| Stability prediction in milling processes using a simulation-based Machine Learning approach A Saadallah, F Finkeldey, K Morik, P Wiederkehr Procedia CIRP 72, 1493-1498, 2018 | 41 | 2018 |
| Explainable online deep neural network selection using adaptive saliency maps for time series forecasting A Saadallah, M Jakobs, K Morik Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | 37 | 2021 |
| Simulation and sensor data fusion for machine learning application A Saadallah, F Finkeldey, J Buß, K Morik, P Wiederkehr, W Rhode Advanced Engineering Informatics 52, 101600, 2022 | 33 | 2022 |
| Explainable online ensemble of deep neural network pruning for time series forecasting A Saadallah, M Jakobs, K Morik Machine Learning 111 (9), 3459-3487, 2022 | 31 | 2022 |
| Explainable predictive quality inspection using deep learning in electronics manufacturing A Saadallah, J Büscher, O Abdulaaty, T Panusch, J Deuse, K Morik Procedia CIRP 107, 594-599, 2022 | 27 | 2022 |
| Online ensemble aggregation using deep reinforcement learning for time series forecasting A Saadallah, K Morik 2021 IEEE 8th International Conference on Data Science and Advanced …, 2021 | 23 | 2021 |
| Active learning for accurate settlement prediction using numerical simulations in mechanized tunneling A Saadallah, A Egorov, BT Cao, S Freitag, K Morik, G Meschke Procedia CIRP 81, 1052-1058, 2019 | 21 | 2019 |
| AutoXPCR: Automated multi-objective model selection for time series forecasting R Fischer, A Saadallah Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 18 | 2024 |
| An actor-critic ensemble aggregation model for time-series forecasting A Saadallah, M Tavakol, K Morik 2021 IEEE 37th International Conference on Data Engineering (ICDE), 2255-2260, 2021 | 17 | 2021 |
| Online geological anomaly detection using machine learning in mechanized tunneling BT Cao, A Saadallah, A Egorov, S Freitag, G Meschke, K Morik International Conference of the International Association for Computer …, 2021 | 17 | 2021 |
| Early quality prediction using deep learning on time series sensor data A Saadallah, O Abdulaaty, J Büscher, T Panusch, K Morik, J Deuse Procedia CIRP 107, 611-616, 2022 | 13 | 2022 |
| Explainable adaptive tree-based model selection for time-series forecasting M Jakobs, A Saadallah 2023 IEEE International Conference on Data Mining (ICDM), 180-189, 2023 | 11 | 2023 |
| Active sampling for learning interpretable surrogate machine learning models A Saadallah, K Morik 2020 IEEE 7th International Conference on Data Science and Advanced …, 2020 | 10 | 2020 |
| Big data and simulation–A new approach for real-time TBM steering G Meschke, BT Cao, S Freitag, A Egorov, A Saadallah, K Morik Tunnels and Underground Cities: Engineering and Innovation meet Archaeology …, 2020 | 7 | 2020 |
| Online explainable model selection for time series forecasting A Saadallah 2023 IEEE 10th International Conference on Data Science and Advanced …, 2023 | 6 | 2023 |
| Towards active simulation data mining M Bunse, A Saadallah, K Morik European Conference on Machine Learning and Principles and Practice of …, 2019 | 6 | 2019 |
| Online deep hybrid ensemble learning for time series forecasting A Saadallah, M Jakobs Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 4 | 2023 |
Felix FinkeldeyPost-Doc, Lamarr Institute for Machine Learning and Artificial Intelligence, TU Dortmund UniversityVerified email at tu-dortmund.de
