|
Email:
amal.saadallah
cs.tu-dortmund.de
Telefon: 0231/755-6490 Telefax: 0231/755-5105 Raumnummer: JvF25 R106 Bild Reprovorlage |
| Saadallah/etal/2022c | Saadallah, Amal and Abdulaaty, Omar and Büscher, Jan and Panusch,Thorben and Morik, Katharina and Deuse,Jochen. Early Quality Prediction using Deep Learning on Time Series Sensor Data. In 55th CIRP conference on Manufacturing Systems, Elsevier, 2022. |
| Saadallah/etal/2022b |
Saadallah, Amal and Jakobs, Matthias and Morik, Katharina.
Explainable Online Ensemble of Deep Neural Network Pruning for Time Series Forecasting.
2022.
|
| Saadallah/etal/2022a | Saadallah, Amal and Büscher, Jan and Abdulaaty, Omar and Panusch,Thorben and Deuse,Jochen and Morik, Katharina. Explainable Predictive Quality Inspection using Deep Learning in Electronics Manufacturing. In 55th CIRP conference on Manufacturing Systems, Elsevier, 2022. |
| Saadallah/Mykula/2022a | Saadallah, Amal and Mykula, Hanna and Katharina, Morik. Online Adaptive Multivariate Time Series Forecasting. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2022. |
| Saadallah/etal/2022d | Saadallah, Amal and Finkeldey, Felix and Buß, Jens and Morik, Katharina and Wiederkehr, Petra and Rhode, Wolfgang. Simulation and Sensor Data Fusion for Machine Learning Application. In Advanced Engineering Informatics, Vol. 52, Seiten 101600, 2022. |
| Saadallah/Morik/2021b | Saadallah, Amal and Katharina, Morik. Online Ensemble Aggregation using Deep Reinforcement Learning for Time Series Forecasting. In IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2021. |
| Saadallah/etal/2021a | Saadallah, Amal and Tavakol, Maryam and Katharina, Morik. An Actor-Critic Ensemble Aggregation Model for Time-Series Forecasting. In The 37th IEEE International Conference on Data Engineering (ICDE), 2021. |
| Saadallah/2021a | Saadallah, Amal and Jakobs, Matthias and Morik, Katharina. Explainable Online Deep Neural Network Selection using Adaptive Saliency Maps for Time Series Forecasting. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2021. |
| Saadallah/Morik/2021a | Saadallah, Amal and Katharina, Morik. Meta-Adversarial Training of Neural Networks for Binary Classification. In IJCNN International Joint Conference on Neural Networks, 2021. |
| Cao/etal/2021a |
Cao, Ba-Tung and Saadallah, Amal and Egorov, Alexey and Freitag, Steffen and Meschke, Günther and Morik, Katharina.
Online Geological Anomaly Detection Using Machine Learning in Mechanized Tunneling.
In
In: Barla M., Di Donna A., Sterpi D. (eds) (editors),
Challenges and Innovations in Geomechanics,
Vol. vol 125.,
Seiten 323--330,
Springer,
2021.
|
| Saadallah/Morik/2020g | Saadallah, Amal and Katharina, Morik. Active Sampling for Learning Interpretable Surrogate Machine Learning Models. In IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2020. |
| Finkeldey/etal/2020a | Finkeldey, Felix and Saadallah, Amal and Wiederkehr, Petra and Morik, Katharina. Real-time prediction of process forces in milling operations using synchronized data fusion of simulation and sensor data. In Engineering Applications of Artificial Intelligence, Vol. 94, 2020. |
| Saadallah/Priebe/2019c | Saadallah, Amal and Priebe, Florian and Katharina, Morik. A Drift-based Dynamic Ensemble Members Selection using Clustering for Time Series Forecasting. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases ECML PKDD 2019, Würzburg, Germany, 2019. |
| Saadallah/etal/2019a | Saadallah, Amal and Egorov, Alexey and Cao, Ba-Trung and Freitag, Steffen and Morik, Katharina and Meschke, Günther. Active Learning for Accurate Settlement Prediction Using Numerical Simulations in Mechanized Tunneling. In CIRP Manufacturing Systems Conference 2019, Vol. 81, Seiten 1052--1058, 2019. |
| Meschke/etal/2019a | Meschke, Günther and Cao, Ba Trung and Egorov, Alexey and Saadallah, Amal and Freitag, Steffen and Morik, Katharina. Big data and simulation -- A new approach for real-time TBM steering.. In Peila, D.; Viggiani, G.; Celestino, T. (eds.), Tunnels and Underground Cities. Engineering and Innovation Meet Archaeology, Architecture and Art, Proceedings of the WTC 2019 ITA-AITES World Tunnel Congress (WTC 2019), Naples, Italy, Taylor & Francis, London, No. DOI: 10.1201/9780429424441-284, Seiten 2681 – 2690, 2019. |
| Saadallah/Moreira/2019a | Saadallah, A. and Moreira-Matias, L. and Sousa, R. and Khiari, J. and Jenelius, E. and Gama, J.. BRIGHT - Drift-Aware Demand Predictions for Taxi Networks (Extended Abstract). In 35th IEEE International Conference on Data Engineering (ICDE 2019), Vol. 32, No. 2, Seiten 234-245, 2019. |
| Saadallah/Piatkowski/2019a |
Saadallah, Amal and Piatkowski, Nico and Finkeldey, Felix and Wiederkehr, Petra and Morik, Katharina.
Learning Ensembles in the Presence of Imbalanced Classes.
In
ICPRAM: 8th international conference on pattern recognition applications and methods - icpram 2019,
2019.
|
| Bunse/etal/2019a |
Bunse, Mirko and Saadallah, Amal and Morik, Katharina.
Towards Active Simulation Data Mining.
In
Kottke, Daniel and Lemaire, Vincent and Calma, Adrian and Krempl, Georg and Holzinger, Andreas (editors),
Proc. of the 3rd Int. Tutorial and Workshop on Interactive Adaptive Learning at ECML-PKDD 2019,
Vol. 2444,
Seiten 104--107,
CEUR Workshop Proceedings,
2019.
|
| Saadallah/Moreira/2018a | Saadallah, A. and Moreira-Matias, L. and Sousa, R. and Khiari, J. and Jenelius, E.and Gama, J.. BRIGHT - Drift-Aware Demand Predictions for Taxi Networks. IEEE Transactions on Knowledge and Data Engineering, 2018. |
| Grau/Moreira/2018a |
Josep Maria Salanova Grau, Luis Moreira-Matias, Amal Saadallah, Panagiotis Tzenos, Georgia Aifadopoulou, Emmanouil Chaniotakis, Miquel Estrada.
Informed Versus Noninformed Taxi Drivers: Agent-Based Simulation Framework for Assessing Their Performance.
Seiten 16,
Transportation Research Board 97th Annual Meeting,
2018.
|
| Saadallah/2018a |
Luis Moreira Matias, Amal Saadallah, Jihed Khiari.
Method to control vehicle fleets to deliver on-demand transportation services..
In
United States patent application US 15/281,142,
2018.
|
| Saadallah/etal/2018a | Saadallah, Amal and Finkeldey, Felix and Morik, Katharina and Wiederkehr, Petra. Stability prediction in milling processes using a simulation-based machine learning approach. In 51st CIRP conference on Manufacturing Systems, Elsevier, 2018. |