Phone, Fax, Email:

Phone:	+49 5121/ 883-40380
e-mail:

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).
• 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.
• Ahmed Rashed, Josif Grabocka, Lars Schmidt-Thieme (2021):
  A Guided Learning Approach for Item Recommendation via Surrogate Loss Learning, in Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval.
• 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).
• Ahmed Rashed, Shayan Jawed, Lars Schmidt-Thieme (2020):
  MultiRec: A Multi-Relational Approach for Unique Item Recommendation in Auction Systems, in 14th ACM Recommender Systems Conference (RecSys 2020).
• Ahmed Rashed, Nicolas Schilling, Lars Schmidt-Thieme (2019):
  Weighted Personalized Factorizations for Network Classification with Approximated Relation Weights, in International Conference on Agents and Artificial Intelligence , Springer, Cham, pp. 100-117.
• 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.
• Ahmed Rashed, Shayan Jawed, Jens Rehberg, Josif Grabocka, Lars Schmidt-Thieme, Andre Hintsches (2019):
  A Deep Multi-Task Approach for Residual Value Forecasting, in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2019).
• 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 13th ACM Recommender Systems Conference (RecSys 2019).
• Ahmed Rashed, Josif Grabocka, Lars Schmidt-Thieme (2019):
  Multi-Relational Classification via Bayesian Ranked Non-Linear Embeddings, in 25th ACM SIGKDD conference on knowledge discovery and data mining (SIGKDD 2019). Acceptance Rate: 14.1% (170 out of 1200).
• 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).

• 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.