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 | 97 | 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 | 29 | 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 | 4 | 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 |
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 | | 2023 |