Ahmed Rashed
Ahmed Rashed
Data Scientist & Research Assistant at Information Systems and Machine Learning Lab (ISMLL)
Verified email at
Cited by
Cited by
Do we really need deep learning models for time series forecasting?
S Elsayed, D Thyssens, A Rashed, HS Jomaa, L Schmidt-Thieme
arXiv preprint arXiv:2101.02118, 2021
Attribute-aware non-linear co-embeddings of graph features
A Rashed, J Grabocka, L Schmidt-Thieme
Proceedings of the 13th ACM conference on recommender systems, 314-321, 2019
MultiRec: A multi-relational approach for unique item recommendation in auction systems
A Rashed, S Jawed, L Schmidt-Thieme, A Hintsches
Proceedings of the 14th ACM Conference on Recommender Systems, 230-239, 2020
Context and Attribute-Aware Sequential Recommendation via Cross-Attention
A Rashed, S Elsayed, L Schmidt-Thieme
Proceedings of the 16th ACM Conference on Recommender Systems, 71-80, 2022
Enabling Semantic User Context to Enhance Twitter Location Prediction.
A Galal, A Elkorany
ICAART (1), 223-230, 2016
A Deep Multi-task Approach for Residual Value Forecasting
A Rashed, S Jawed, J Rehberg, J Grabocka, L Schmidt-Thieme, ...
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2020
Multi-step forecasting via multi-task learning
S Jawed, A Rashed, L Schmidt-Thieme
2019 IEEE International Conference on Big Data (Big Data), 790-799, 2019
Multi-relational classification via bayesian ranked non-linear embeddings
A Rashed, J Grabocka, L Schmidt-Thieme
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
A Guided Learning Approach for Item Recommendation via Surrogate Loss Learning
A Rashed, J Grabocka, L Schmidt-Thieme
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
Dynamic Modeling of Twitter Users.
A Galal, A ElKorany
ICEIS (2), 585-593, 2015
AI and Data-Driven Mobility at Volkswagen Financial Services AG
S Jawed, A Rashed, K Madhusudhanan, S Elsayed, M Jameel, A Volk, ...
arXiv preprint arXiv:2202.04411, 2022
Weighted Personalized Factorizations for Network Classification with Approximated Relation Weights
A Rashed, J Grabocka, L Schmidt-Thieme
Agents and Artificial Intelligence: 11th International Conference, ICAART …, 2019
Emotion Analysis Using Heart Rate Data
Luis Alberto Barradas, Artem Fedoskin, Ekaterina Shcheglakova, Sutthida ...
Database and Expert Systems Applications. DEXA 2019 1062, 2019
The system can't perform the operation now. Try again later.
Articles 1–13