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Daniela Thyssens
Daniela Thyssens
Research Assistant at Information Systems and Machine Learning Lab (ISMLL)
Bestätigte E-Mail-Adresse bei ismll.de
Titel
Zitiert von
Zitiert von
Jahr
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
852021
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
52022
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
32022
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
12022
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
12020
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
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