Amal Saadallah
Research Topics
- Online Time Series Analysis and Forecasting
- Ensemble Learning
- Explainable AI for Time Series Analysis
- Industry 4.0
Selected Publications
- 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, Amal and Jakobs, Matthias and Morik, Katharina. Explainable Online Ensemble of Deep Neural Network Pruning for Time Series Forecasting, Journa of Machine Learning, 2022.
- 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, 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.
Social Media
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Other Scientific Activities
- Co-organizer, XAI-TS Workshop, ECML-PKDD 2023
Supervised Theses
- Donghui He, 2018 (B.Sc.): Automated Model Selection for Settlement Prediction in mechanized Tunneling processes
- Florian Priebe, 2019 (M.Sc.): Dynamic Model Selection for Automated Machine Learning in Time Series
- Hanna Mykula, 2021 (B.Sc.): Online Adaptive Multivariate Time Series Forecasting