Multi-step Forecasting via Multi-task Learning. - Shayan Jawed; Ahmed Rashed; Lars Schmidt-Thieme (IEEE BigData, 2019)

Emotion Analysis Using Heart Rate Data. - Luis Alberto Barradas Chacon; Artem Fedoskin; Ekaterina Shcheglakova; Sutthida Neamsup; Ahmed Rashed (DEXA Workshops, 2019)

Multi-Label Network Classification via Weighted Personalized Factorizations. - Ahmed Rashed; Josif Grabocka; Lars Schmidt-Thieme (ICAART (2), 2019)

Weighted Personalized Factorizations for Network Classification with Approximated Relation Weights. - Ahmed Rashed; Josif Grabocka; Lars Schmidt-Thieme (ICAART (Revised Selected Papers), 2019)

Multi-Relational Classification via Bayesian Ranked Non-Linear Embeddings. - Ahmed Rashed; Josif Grabocka; Lars Schmidt-Thieme (KDD, 2019)

A Deep Multi-task Approach for Residual Value Forecasting. - Ahmed Rashed; Shayan Jawed; Jens Rehberg; Josif Grabocka; Lars Schmidt-Thieme; Andre Hintsches (ECML/PKDD (3), 2019)

Attribute-aware non-linear co-embeddings of graph features. - Ahmed Rashed; Josif Grabocka; Lars Schmidt-Thieme (RecSys, 2019)

MultiRec: A Multi-Relational Approach for Unique Item Recommendation in Auction Systems. - Ahmed Rashed; Shayan Jawed; Lars Schmidt-Thieme; Andre Hintsches (RecSys, 2020)

A Guided Learning Approach for Item Recommendation via Surrogate Loss Learning. - Ahmed Rashed; Josif Grabocka; Lars Schmidt-Thieme (SIGIR, 2021)

Do We Really Need Deep Learning Models for Time Series Forecasting? - Shereen Elsayed; Daniela Thyssens; Ahmed Rashed; Lars Schmidt-Thieme; Hadi Samer Jomaa (CoRR, 2021)

Context and Attribute-Aware Sequential Recommendation via Cross-Attention. - Ahmed Rashed; Shereen Elsayed; Lars Schmidt-Thieme (RecSys, 2022)

A.I. and Data-Driven Mobility at Volkswagen Financial Services AG. - 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 (CoRR, 2022)

CARCA: Context and Attribute-Aware Next-Item Recommendation via Cross-Attention. - Ahmed Rashed; Shereen Elsayed; Lars Schmidt-Thieme (CoRR, 2022)

BlockCampus: A Blockchain-Based DApp for enhancing Student Engagement and Reward Mechanisms in an Academic Community for E-JUST University. - Mariam Ayman; Youssef El-harty; Ahmed Rashed; Ahmed Fathy; Ahmed Abdullah; Omar Wassim; Walid Gomaa 001 (CoRR, 2023)

Context-Aware Sequential Model for Multi-Behaviour Recommendation. - Shereen Elsayed; Ahmed Rashed; Lars Schmidt-Thieme (CoRR, 2023)

Enhanced Item Recommendation with Auxiliary Information. - Ahmed Rashed (2023)

HMAR: Hierarchical Masked Attention for Multi-behaviour Recommendation. - Shereen Elsayed; Ahmed Rashed; Lars Schmidt-Thieme (PAKDD (5), 2024)

Multi-Behavioral Sequential Recommendation. - Shereen Elsayed; Ahmed Rashed; Lars Schmidt-Thieme (RecSys, 2024)

Analyzing Fairness of Classification Machine Learning Model with Structured Dataset. - Ahmed Rashed; Abdelkrim Kallich; Mohamed Eltayeb (CoRR, 2024)

Analyzing Fairness of Computer Vision and Natural Language Processing Models. - Ahmed Rashed; Abdelkrim Kallich; Mohamed Eltayeb (CoRR, 2024)

Learning attentive attribute-aware node embeddings in dynamic environments. - Nourhan Ahmed; Ahmed Rashed; Lars Schmidt-Thieme (Int. J. Data Sci. Anal., 2024)

Bank Risks, and Bank Stability: The Moderating Role of State Ownership in the MENA Region. - Ahmed Rashed; Dexiang Wu (FEMIB, 2025)

EfficientVITON: An Efficient Virtual Try-On Model using Optimized Diffusion Process. - Mostafa Atef; Mariam Ayman; Ahmed Rashed; Ashrakat Saeed; Abdelrahman Saeed; Ahmed Fares (CoRR, 2025)