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Dekobild im Seitenkopf ISMLL
 
Personen: Shereen ElSayed
Sprechstunde:
t.b.a. Spl, n. V.
Telefon, Fax, E-Mail:
Telefon: t.b.a.
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, Shereen Elsayed, Lars Schmidt-Thieme (2022):
    CARCA: Context and Attribute-Aware Next-Item Recommendation via Cross-Attention., in arXiv preprint arXiv:2204.06519 (accepted at RecSys 2022). PDF
  • Shereen Elsayed, Lukas Brinkmeyer, Lars Schmidt-Thieme (2022):
    End-to-End Image-Based Fashion Recommendation., in arXiv preprint arXiv:2205.02923. PDF
  • Shayan Jawed, Mofassir ul Islam Arif, Ahmed Rashed, Kiran Madhusudhanan, Shereen Elsayed, Mohsan Jameel, Alexei Volk, Andre Hintsches, Marlies Kornfeld, Katrin Lange, Lars Schmidt-Thieme (2022):
    AI and Data-Driven Mobility at Volkswagen Financial Services AG, in arXiv. PDF
  • Shereen Elsayed, Daniela Thyssens, Ahmed Rashed, Lars Schmidt-Thieme, Hadi S Jomaa (2021):
    Do We Really Need Deep Learning Models for Time Series Forecasting?, in arXiv preprint arXiv:2101.02118 (2021).
  • Shereen Elsayed, Lars Schmidt-Thieme (2022):
    Deep Multi-Representation Model for Click-Through Rate Prediction, in arXiv preprint.
  • 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).