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 | 85 | 2021 |
Do we really need deep learning models for time series forecasting? arXiv 2021 S Elsayed, D Thyssens, A Rashed, HS Jomaa, L Schmidt-Thieme arXiv preprint arXiv:2101.02118, 0 | 12 | |
Large neighborhood search based on neural construction heuristics JK Falkner, D Thyssens, L Schmidt-Thieme arXiv preprint arXiv:2205.00772, 2022 | 5 | 2022 |
Supervised permutation invariant networks for solving the CVRP with bounded fleet size D Thyssens, J Falkner, L Schmidt-Thieme arXiv preprint arXiv:2201.01529, 2022 | 3 | 2022 |
Learning to Control Local Search for Combinatorial Optimization JK Falkner, D Thyssens, A Bdeir, L Schmidt-Thieme Joint European Conference on Machine Learning and Knowledge Discovery in …, 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 |
DeepStay: Stay Region Extraction from Location Trajectories using Weak Supervision C Löwens, D Thyssens, E Andersson, C Jenkins, L Schmidt-Thieme arXiv preprint arXiv:2306.06068, 2023 | | 2023 |