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Dekobild im Seitenkopf ISMLL
 
Personen: Shayan Jawed, M.Sc.
Kontakt:
Telefon:05121 / 883-40398
E-Mail:

Postanschrift:
Wirtschaftsinformatik und Maschinelles Lernen
Universitätsplatz 1
Universität Hildesheim
31141 Hildesheim

Besuchsadresse:
Wirtschaftsinformatik und Maschinelles Lernen
Samelsonplatz 1
Universität Hildesheim
31141 Hildesheim


Teaching:

Peer-Reviewed Conference Papers:

  • Shayan Jawed, Josif Grabocka, Lars Schmidt-Thieme (2020):
    Self-Supervised Learning for Semi-Supervised Time Series Classification, in Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2020). PDF
  • Mohsan Jameel, Shayan Jawed, Lars Schmidt-Thieme (2020):
    Optimal Topology Search for Fast Model Averaging in Decentralized Parallel SGD, in Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2020). PDF
  • Shayan Jawed, Ahmed Rashed, Lars Schmidt-Thieme (2019):
    Multi-step Forecasting via Multi-task Learning, in Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData 2019) In The IEEE Big Data Conference 2019. PDF
  • Ahmed Rashed, Shayan Jawed, Jens Rehberg, Josif Grabocka, Lars Schmidt-Thieme, Andre Hintsches (2019):
    A Deep Multi-Task Approach for Residual Value Forecasting, in Accepted In The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2019). PDF
  • Shayan Jawed, Eya Boumaiza, Josif Grabocka, Lars Schmidt-Thieme (2018):
    Data-Driven Vehicle Trajectory Forecasting, in Accepted In The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases Workshop on (KNOWMe@ECML PKDD 2018). PDF