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Dekobild im Seitenkopf ISMLL
 
People: Hadi Samer Jomaa, M. Eng.
Office hour:
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

Visitor address:
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. PDF
  • 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). PDF
  • 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 . PDF
  • 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). PDF
  • Hadi S. Jomaa, Josif Grabocka, Lars Schmidt-Thieme (2019):
    Hyp-RL: Hyperparameter Optimization by Reinforcement Learning, in arXiv preprint arXiv:1906.11527 (2019). PDF
  • 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) . PDF