Ahmed Rashed

29 papers A* 2A 4Journal 13Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
An inter- and intra-attention model for multi-behavior recommendation.
Int. J. Data Sci. Anal.
Shereen Elsayed, Ahmed Rashed, Lars Schmidt-Thieme
2025 J jnl
Analyzing Fairness of Computer Vision and Natural Language Processing Models.
Inf.
Ahmed Rashed, Abdelkrim Kallich, Mohamed Eltayeb
2025 — conf
Attribute and Context-Aware Multi-Behavior Model for Unique-Item Recommendation.
ECML/PKDD (9)
Shereen Elsayed, Ngoc Son Le, Ahmed Rashed, Lars Schmidt-Thieme
2025 — conf
Attribute-Aware Sequential Recommendation Model for Used Car Auctions.
ECML/PKDD (9)
Shereen Elsayed, Ngoc Son Le, Ahmed Rashed, Lukas Hestermeyer, Radoslaw Wlodarczyk, Maximilian Stubbemann, Lars Schmidt-Thieme
2025 — conf
Bank Risks, and Bank Stability: The Moderating Role of State Ownership in the MENA Region.
FEMIB
Ahmed Rashed, Dexiang Wu
2025 J jnl
EfficientVITON: An Efficient Virtual Try-On Model using Optimized Diffusion Process.
CoRR
Mostafa Atef, Mariam Ayman, Ahmed Rashed, Ashrakat Saeed, Abdelrahman Saeed, Ahmed Fares
2024 J jnl
Analyzing Fairness of Classification Machine Learning Model with Structured Dataset.
CoRR
Ahmed Rashed, Abdelkrim Kallich, Mohamed Eltayeb
2024 J jnl
Analyzing Fairness of Computer Vision and Natural Language Processing Models.
CoRR
Ahmed Rashed, Abdelkrim Kallich, Mohamed Eltayeb
2024 J jnl
HMAR: Hierarchical Masked Attention for Multi-Behaviour Recommendation.
CoRR
Shereen Elsayed, Ahmed Rashed, Lars Schmidt-Thieme
2024 — conf
HMAR: Hierarchical Masked Attention for Multi-behaviour Recommendation.
PAKDD (5)
Shereen Elsayed, Ahmed Rashed, Lars Schmidt-Thieme
2024 J jnl
Learning attentive attribute-aware node embeddings in dynamic environments.
Int. J. Data Sci. Anal.
Nourhan Ahmed, Ahmed Rashed, Lars Schmidt-Thieme
2024 A conf
Multi-Behavioral Sequential Recommendation.
RecSys
Shereen Elsayed, Ahmed Rashed, Lars Schmidt-Thieme
2023 J jnl
BlockCampus: A Blockchain-Based DApp for enhancing Student Engagement and Reward Mechanisms in an Academic Community for E-JUST University.
CoRR
Mariam Ayman, Youssef El-harty, Ahmed Rashed, Ahmed Fathy, Ahmed Abdullah, Omar Wassim, Walid Gomaa
2023 J jnl
Context-Aware Sequential Model for Multi-Behaviour Recommendation.
CoRR
Shereen Elsayed, Ahmed Rashed, Lars Schmidt-Thieme
2023 — —
Enhanced Item Recommendation with Auxiliary Information.
Ahmed Rashed
2022 J jnl
A.I. and Data-Driven Mobility at Volkswagen Financial Services AG.
CoRR
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 J jnl
CARCA: Context and Attribute-Aware Next-Item Recommendation via Cross-Attention.
CoRR
Ahmed Rashed, Shereen Elsayed, Lars Schmidt-Thieme
2022 A conf
Context and Attribute-Aware Sequential Recommendation via Cross-Attention.
RecSys
Ahmed Rashed, Shereen Elsayed, Lars Schmidt-Thieme
2021 A* conf
A Guided Learning Approach for Item Recommendation via Surrogate Loss Learning.
SIGIR
Ahmed Rashed, Josif Grabocka, Lars Schmidt-Thieme
2021 J jnl
Do We Really Need Deep Learning Models for Time Series Forecasting?
CoRR
Shereen Elsayed, Daniela Thyssens, Ahmed Rashed, Lars Schmidt-Thieme, Hadi Samer Jomaa
2020 A conf
MultiRec: A Multi-Relational Approach for Unique Item Recommendation in Auction Systems.
RecSys
Ahmed Rashed, Shayan Jawed, Lars Schmidt-Thieme, Andre Hintsches
2019 — conf
A Deep Multi-task Approach for Residual Value Forecasting.
ECML/PKDD (3)
Ahmed Rashed, Shayan Jawed, Jens Rehberg, Josif Grabocka, Lars Schmidt-Thieme, Andre Hintsches
2019 A conf
Attribute-aware non-linear co-embeddings of graph features.
RecSys
Ahmed Rashed, Josif Grabocka, Lars Schmidt-Thieme
2019 — conf
Emotion Analysis Using Heart Rate Data.
DEXA Workshops
Luis Alberto Barradas Chacon, Artem Fedoskin, Ekaterina Shcheglakova, Sutthida Neamsup, Ahmed Rashed
2019 — conf
Multi-Label Network Classification via Weighted Personalized Factorizations.
ICAART (2)
Ahmed Rashed, Josif Grabocka, Lars Schmidt-Thieme
2019 J jnl
Multi-Label Network Classification via Weighted Personalized Factorizations.
CoRR
Ahmed Rashed, Josif Grabocka, Lars Schmidt-Thieme
2019 A* conf
Multi-Relational Classification via Bayesian Ranked Non-Linear Embeddings.
KDD
Ahmed Rashed, Josif Grabocka, Lars Schmidt-Thieme
2019 — conf
Multi-step Forecasting via Multi-task Learning.
IEEE BigData
Shayan Jawed, Ahmed Rashed, Lars Schmidt-Thieme
2019 — conf
Weighted Personalized Factorizations for Network Classification with Approximated Relation Weights.
ICAART (Revised Selected Papers)
Ahmed Rashed, Josif Grabocka, Lars Schmidt-Thieme