People:
Hadi Samer Jomaa, M. Eng.
Office hour:
C138 Spl, upon request
C138 Spl, upon request
Phone, Fax, Email:
Phone: | 05121 / 883-40378 |
Fax: | 05121 / 883-40361 |
e-mail: |
Postal address:
Information Systems and Machine Learning Lab
Universitätsplatz 1
University of Hildesheim
31141 Hildesheim
Germany
Information Systems and Machine Learning Lab
Universitätsplatz 1
University of Hildesheim
31141 Hildesheim
Germany
Visitor address:
Information Systems and Machine Learning Lab
Samelsonplatz 1
University of Hildesheim
31141 Hildesheim
Germany
Information Systems and Machine Learning Lab
Samelsonplatz 1
University of Hildesheim
31141 Hildesheim
Germany
Data sets
Publications:
- Ekrem Oeztuerk, Fabio Ferreira, Hadi S. Jomaa, Lars Schmidt-Thieme, Josif Grabocka, Frank Hutter (2022):
Zero-Shot AutoML with Pretrained Models, in Proceedings of the 39 th International Conference on Machine Learning. - Shayan Jawed, Hadi S. Jomaa, Lars Schmidt-Thieme, Josif Grabocka (2021):
Multi-task Learning Curve Forecasting Across Hyperparameter Configurations and Datasets, in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021). - Hadi S. Jomaa, Josif Grabocka, Lars Schmidt-Thieme (2021):
Dataset2Vec: Learning Dataset Meta-Features, in Data Mining and Knowledge Discovery Journal (The final publication is available at link.springer.com ). https://github.com/hadijomaa/dataset2vec . - Shereen Elsayed, Daniela Thyssens, Shabanaz Chamurally, Arslan Tariq, Hadi S. Jomaa (2020):
Exploring the influence of data aggregation in parking prediction, in International Conference on Database and Expert Systems Applications (DEXA workshop 2020). - Hadi S. Jomaa, Josif Grabocka, Lars Schmidt-Thieme (2019):
In Hindsight: A Smooth Reward for Steady Exploration, in arXiv preprint arXiv:1906.09781 (2019). - Hadi S. Jomaa, Josif Grabocka, Lars Schmidt-Thieme (2019):
Hyp-RL: Hyperparameter Optimization by Reinforcement Learning, in arXiv preprint arXiv:1906.11527 (2019). - Hadi S. Jomaa, Josif Grabocka, Lars Schmidt-Thieme (2019):
A Hybrid Convolutional Approach for Parking Availability Prediction, in International Conference on Convolutional Neural Networks (IJCNN2019) .