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Dekobild im Seitenkopf ISMLL
 
Personen: Ahmed Rashed
Sprechstunde:
C038 Spl, n. V.
Telefon, Fax, E-Mail:
Telefon: 05121 / 883-40380
E-Mail:
Postanschrift:
Wirtschaftsinformatik und Maschinelles Lernen
Universitätsplatz 1
Universität Hildesheim
31141 Hildesheim
Besuchsadresse:
Wirtschaftsinformatik und Maschinelles Lernen
Samelsonplatz 1
Universität Hildesheim
31141 Hildesheim

Publikationen:

  • Ahmed Rashed, Shayan Jawed, Lars Schmidt-Thieme (2020):
    MultiRec: A Multi-Relational Approach for Unique Item Recommendation in Auction Systems, in Accepted in The 14th ACM Recommender Systems Conference (RecSys 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
  • Luis Alberto Barradas Chacon, Artem Fedoskin, Ekaterina Shcheglakova, Sutthida Neamsup, Ahmed Rashed (2019):
    Emotion Analysis Using Heart Rate Data, in Database and Expert Systems Applications. (MLKgraphs@DEXA 2019).
  • Ahmed Rashed, Josif Grabocka, Lars Schmidt-Thieme (2019):
    Attribute-Aware Non-Linear Co-Embeddings of Graph Features, in Accepted in The 13th ACM Recommender Systems Conference (RecSys 2019). PDF
  • Ahmed Rashed, Josif Grabocka, Lars Schmidt-Thieme (2019):
    Multi-Relational Classification via Bayesian Ranked Non-Linear Embeddings, in Accepted in The 25th ACM SIGKDD conference on knowledge discovery and data mining (SIGKDD 2019). Acceptance Rate: 14.1% (170 out of 1200). PDF
  • Ahmed Rashed, Josif Grabocka, Lars Schmidt-Thieme (2019):
    Multi-Label Network Classification via Weighted Personalized Factorizations, in International Conference on Agents and Artificial Intelligence (ICAART 2019). PDF
  • Ahmed Galal, Abeer El-Korany (2016):
    Enabling Semantic User Context to Enhance Twitter Location Prediction , in International Conference on Agents and Artificial Intelligence, ICAART, Scitepress.