| 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 | 129 | 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 | 53 | 2022 |
| End-to-End Image-Based Fashion Recommendation S Elsayed, L Brinkmeyer, L Schmidt-Thieme Recommender Systems in Fashion and Retail: Proceedings of the Fourth …, 2023 | 9 | 2023 |
| Deep Multi-Representation Model for Click-Through Rate Prediction S Elsayed, L Schmidt-Thieme 2023 International Joint Conference on Neural Networks (IJCNN), 1-9, 2023 | 2 | 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 |
| Exploring the influence of data aggregation in parking prediction S Elsayed, D Thyssens, S Chamurally, A Tariq, HS Jomaa Database and Expert Systems Applications: DEXA 2020 International Workshops …, 2020 | 1 | 2020 |
| 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 | | 2024 |
| Context-Aware Sequential Model for Multi-Behaviour Recommendation S Elsayed, A Rashed, L Schmidt-Thieme arXiv preprint arXiv:2312.09684, 2023 | | 2023 |
