| 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 | 51 | 2018 |
| 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 | 38 | 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 | 34 | 2020 |
| A drift-based dynamic ensemble members selection using clustering for time series forecasting A Saadallah, F Priebe, K Morik Machine learning and knowledge discovery in databases: European conference …, 2020 | 30 | 2020 |
| Method to control vehicle fleets to deliver on-demand transportation services L Moreira-Matias, A Saadallah, J Khiari US Patent 10,192,448, 2019 | 26 | 2019 |
| 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 | 24 | 2021 |
| 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 | 18 | 2022 |
| 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 | 17 | 2019 |
| 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 | 16 | 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 | 16 | 2021 |
| 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 | 15 | 2022 |
| 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 | 12 | 2021 |
| Online geological anomaly detection using machine learning in mechanized tunneling BT Cao, A Saadallah, A Egorov, S Freitag, G Meschke, K Morik Challenges and Innovations in Geomechanics: Proceedings of the 16th …, 2021 | 10 | 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 | 8 | 2022 |
| Active sampling for learning interpretable surrogate machine learning models A Saadallah, K Morik 2020 IEEE 7th International Conference on Data Science and Advanced …, 2020 | 7 | 2020 |
| 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 | 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 |
| 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 | 5 | 2020 |
| Learning Ensembles in the Presence of Imbalanced Classes A Saadallah, N Piatkowski, F Finkeldey, P Wiederkehr, K Morik ICPRAM 2019 – 8th International Conference on Pattern Recognition …, 2019 | 3 | 2019 |
| Informed versus non-informed taxi drivers: Agent-based simulation framework for assessing their performance J Grau, L Moreira-Matias, A Saadallah, P Tzenos, G Aifadopoulou, ... Proc. Transport. Res. Board 97th Annu. Meeting, 2018 | 3 | 2018 |
Felix FinkeldeyPost-Doc, Lamarr Institute for Machine Learning and Artificial Intelligence, TU Dortmund UniversityVerified email at tu-dortmund.de
