| 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 | 196 | 2021 |
| 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 | 89 | 2022 |
| 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 | 55 | 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 | 19 | 2020 |
| 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 | 10 | 2021 |
| 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 | 8 | 2019 |
| Enabling Semantic User Context to Enhance Twitter Location Prediction. A Galal, A Elkorany ICAART (1), 223-230, 2016 | 8 | 2016 |
| 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 | 5 | 2019 |
| Learning attentive attribute-aware node embeddings in dynamic environments N Ahmed, A Rashed, L Schmidt-Thieme International Journal of Data Science and Analytics 17 (2), 189-201, 2024 | 3 | 2024 |
| 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 | 3 | 2019 |
| Dynamic Modeling of Twitter Users A Galal, A El-Korany International Conference on Enterprise Information Systems 2, 585-593, 2015 | 2 | 2015 |
| Multi-Behavioral Sequential Recommendation S Elsayed, A Rashed, L Schmidt-Thieme Proceedings of the 18th ACM Conference on Recommender Systems, 902-906, 2024 | 1 | 2024 |
| HMAR: Hierarchical Masked Attention for Multi-behaviour Recommendation S Elsayed, A Rashed, L Schmidt-Thieme Pacific-Asia Conference on Knowledge Discovery and Data Mining, 131-143, 2024 | 1 | 2024 |
| Context-Aware Sequential Model for Multi-Behaviour Recommendation S Elsayed, A Rashed, L Schmidt-Thieme arXiv preprint arXiv:2312.09684, 2023 | 1 | 2023 |
| 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 | 1 | 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 | 1* | 2019 |
| Enhanced Item Recommendation with Auxiliary Information A Rashed Stiftung Universität Hildesheim, 2023 | | 2023 |
| Emotion Analysis Using Heart Rate Data Luis Alberto Barradas, Artem Fedoskin, Ekaterina Shcheglakova, Sutthida ... Database and Expert Systems Applications. DEXA 2019 1062, 2019 | | 2019 |
Lars Schmidt-ThiemeUniversity of Hildesheim, GermanyVerified email at ismll.uni-hildesheim.de
