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Ahmed Rashed
Ahmed Rashed
Data Scientist & Research Assistant at Information Systems and Machine Learning Lab (ISMLL)
Verified email at ismll.uni-hildesheim.de
Title
Cited by
Cited by
Year
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
332021
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
282019
MultiRec: A multi-relational approach for unique item recommendation in auction systems
A Rashed, S Jawed, L Schmidt-Thieme, A Hintsches
Fourteenth ACM Conference on Recommender Systems, 230-239, 2020
112020
Enabling Semantic User Context to Enhance Twitter Location Prediction.
A Galal, A Elkorany
ICAART (1), 223-230, 2016
62016
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
32019
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
32019
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
2*2022
A Deep Multi-task Approach for Residual Value Forecasting
A Rashed, S Jawed, J Rehberg, J Grabocka, L Schmidt-Thieme, ...
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019
22019
Dynamic Modeling of Twitter Users.
A Galal, A ElKorany
ICEIS (2), 585-593, 2015
22015
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
12022
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
12021
Weighted Personalized Factorizations for Network Classification with Approximated Relation Weights
A Rashed, J Grabocka, L Schmidt-Thieme
International Conference on Agents and Artificial Intelligence, 100-117, 2019
1*2019
Emotion Analysis Using Heart Rate Data
Luis Alberto Barradas, Artem Fedoskin, Ekaterina Shcheglakova, Sutthida ...
Database and Expert Systems Applications. DEXA 2019 1062, 2019
2019
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