Information Systems and Machine Learning Lab, University of Hildesheim, Germany

People: Shereen ElSayed

Office hour:
t.b.a. Spl, upon request

Phone, Fax, Email:

Phone:	t.b.a.
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

Publications:

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).
Shereen Elsayed, Lukas Brinkmeyer, Lars Schmidt-Thieme (2022):
End-to-End Image-Based Fashion Recommendation., in arXiv preprint arXiv:2205.02923.
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.
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).