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Daniela Thyssens
Daniela Thyssens
Research Assistant at Information Systems and Machine Learning Lab (ISMLL)
Verified email at ismll.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
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
5
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
22022
Exploring the influence of data aggregation in parking prediction
S Elsayed, D Thyssens, S Chamurally, A Tariq, HS Jomaa
International Conference on Database and Expert Systems Applications, 85-95, 2020
12020
Learning to Control Local Search for Combinatorial Optimization
JK Falkner, D Thyssens, A Bdeir, L Schmidt-Thieme
arXiv preprint arXiv:2206.13181, 2022
2022
Large Neighborhood Search based on Neural Construction Heuristics
JK Falkner, D Thyssens, L Schmidt-Thieme
arXiv preprint arXiv:2205.00772, 2022
2022
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