People:
Daniela Thyssens
Office hour:
C139 b Spl, upon request
C139 b Spl, upon request
Phone, Email:
Phone: | 05121 / 883-40378 |
e-mail: | ![]() |
Postal address:
Information Systems and Machine Learning Lab
Universitätsplatz 1
University of Hildesheim
31141 Hildesheim
Germany
Information Systems and Machine Learning Lab
Universitätsplatz 1
University of Hildesheim
31141 Hildesheim
Germany
Visitor address:
Information Systems and Machine Learning Lab
Samelsonplatz 1
University of Hildesheim
31141 Hildesheim
Germany
Information Systems and Machine Learning Lab
Samelsonplatz 1
University of Hildesheim
31141 Hildesheim
Germany
Publications:
- Jonas K. Falkner, Daniela Thyssens, Ahmad Bdeir, Lars Schmidt-Thieme (2022):
Learning to Control Local Search for Combinatorial Optimization., in arXiv preprint arXiv:2206.13181 (accepted at ECML 2022). - Jonas K. Falkner, Daniela Thyssens, Lars Schmidt-Thieme (2022):
Large Neighborhood Search based on Neural Construction Heuristics., in arXiv preprint arXiv:2205.00772. - Daniela Thyssens, Jonas K. Falkner, Lars Schmidt-Thieme (2022):
Supervised Permutation Invariant Networks for Solving the CVRP with Bounded Fleet Size., in arXiv preprint arXiv:2201.01529. - Shereen Elsayed, Daniela Thyssens, Ahmed Rashed, Lars Schmidt-Thieme, Hadi S Jomaa (2021):
Do We Really Need Deep Learning Models for Time Series Forecasting?, in arXiv preprint arXiv:2101.02118 (2021). - Shereen Elsayed, Daniela Thyssens, Shabanaz Chamurally, Arslan Tariq, Hadi S. Jomaa (2020):
Exploring the influence of data aggregation in parking prediction, in International Conference on Database and Expert Systems Applications (DEXA workshop 2020).