Ahmed Rashed

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Hierarchical Classification

Item Recommendation

Academic Community

Financial Services

Top Venues

Publications

Shereen Elsayed, Ahmed Rashed, Lars Schmidt-Thieme
HMAR: Hierarchical Masked Attention for Multi-Behaviour Recommendation. CoRR (2024)
Nourhan Ahmed, Ahmed Rashed, Lars Schmidt-Thieme
Learning attentive attribute-aware node embeddings in dynamic environments. Int. J. Data Sci. Anal. 17 (2) (2024)
Shereen Elsayed, Ahmed Rashed, Lars Schmidt-Thieme
HMAR: Hierarchical Masked Attention for Multi-behaviour Recommendation. PAKDD (5) (2024)
Shereen Elsayed, Ahmed Rashed, Lars Schmidt-Thieme
Context-Aware Sequential Model for Multi-Behaviour Recommendation. CoRR (2023)
Mariam Ayman, Youssef El-harty, Ahmed Rashed, Ahmed Fathy, Ahmed Abdullah, Omar Wassim, Walid Gomaa
BlockCampus: A Blockchain-Based DApp for enhancing Student Engagement and Reward Mechanisms in an Academic Community for E-JUST University. CoRR (2023)
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
A.I. and Data-Driven Mobility at Volkswagen Financial Services AG. CoRR (2022)
Ahmed Rashed, Shereen Elsayed, Lars Schmidt-Thieme
CARCA: Context and Attribute-Aware Next-Item Recommendation via Cross-Attention. CoRR (2022)
Ahmed Rashed, Shereen Elsayed, Lars Schmidt-Thieme
Context and Attribute-Aware Sequential Recommendation via Cross-Attention. RecSys (2022)
Shereen Elsayed, Daniela Thyssens, Ahmed Rashed, Lars Schmidt-Thieme, Hadi Samer Jomaa
Do We Really Need Deep Learning Models for Time Series Forecasting? CoRR (2021)
Ahmed Rashed, Josif Grabocka, Lars Schmidt-Thieme
A Guided Learning Approach for Item Recommendation via Surrogate Loss Learning. SIGIR (2021)
Ahmed Rashed, Shayan Jawed, Lars Schmidt-Thieme, Andre Hintsches
MultiRec: A Multi-Relational Approach for Unique Item Recommendation in Auction Systems. RecSys (2020)
Ahmed Rashed, Shayan Jawed, Jens Rehberg, Josif Grabocka, Lars Schmidt-Thieme, Andre Hintsches
A Deep Multi-task Approach for Residual Value Forecasting. ECML/PKDD (3) (2019)
Shayan Jawed, Ahmed Rashed, Lars Schmidt-Thieme
Multi-step Forecasting via Multi-task Learning. IEEE BigData (2019)
Luis Alberto Barradas Chacon, Artem Fedoskin, Ekaterina Shcheglakova, Sutthida Neamsup, Ahmed Rashed
Emotion Analysis Using Heart Rate Data. DEXA Workshops (2019)
Ahmed Rashed, Josif Grabocka, Lars Schmidt-Thieme
Attribute-aware non-linear co-embeddings of graph features. RecSys (2019)
Ahmed Rashed, Josif Grabocka, Lars Schmidt-Thieme
Weighted Personalized Factorizations for Network Classification with Approximated Relation Weights. ICAART (Revised Selected Papers) (2019)
Ahmed Rashed, Josif Grabocka, Lars Schmidt-Thieme
Multi-Relational Classification via Bayesian Ranked Non-Linear Embeddings. KDD (2019)
Ahmed Rashed, Josif Grabocka, Lars Schmidt-Thieme
Multi-Label Network Classification via Weighted Personalized Factorizations. CoRR (2019)
Ahmed Rashed, Josif Grabocka, Lars Schmidt-Thieme
Multi-Label Network Classification via Weighted Personalized Factorizations. ICAART (2) (2019)