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ORCIDNiklas Strauß
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2020 – today
- 2024
[c12]Maximilian Bernhard, Tanveer Hannan, Niklas Strauß, Matthias Schubert:
Context Matters: Leveraging Spatiotemporal Metadata for Semi-Supervised Learning on Remote Sensing Images. ECAI 2024: 2186-2193- [c11]Niklas Strauß, Matthias Schubert:
Spatial-Aware Deep Reinforcement Learning for the Traveling Officer Problem. SDM 2024: 869-877 - [i6]Niklas Strauß, Matthias Schubert:
Spatial-Aware Deep Reinforcement Learning for the Traveling Officer Problem. CoRR abs/2401.05969 (2024) - [i5]Niklas Strauß, Lukas Rottkamp, Sebastian Schmoll, Matthias Schubert:
Efficient Parking Search using Shared Fleet Data. CoRR abs/2404.10646 (2024) - [i4]David Winkel, Niklas Strauß, Matthias Schubert, Thomas Seidl:
Simplex Decomposition for Portfolio Allocation Constraints in Reinforcement Learning. CoRR abs/2404.10683 (2024) - [i3]Maximilian Bernhard, Tanveer Hannan, Niklas Strauß, Matthias Schubert:
Context Matters: Leveraging Spatiotemporal Metadata for Semi-Supervised Learning on Remote Sensing Images. CoRR abs/2404.18583 (2024) - [i2]David Winkel, Niklas Strauß, Maximilian Bernhard, Zongyue Li, Thomas Seidl, Matthias Schubert:
Autoregressive Policy Optimization for Constrained Allocation Tasks. CoRR abs/2409.18735 (2024) - 2023
- [c10]David Winkel
, Niklas Strauß, Matthias Schubert, Thomas Seidl:
Simplex Decomposition for Portfolio Allocation Constraints in Reinforcement Learning. ECAI 2023: 2655-2662 - [c9]Maximilian Bernhard, Niklas Strauß, Matthias Schubert:
MapFormer: Boosting Change Detection by Using Pre-change Information. ICCV 2023: 16791-16800 - [c8]David Winkel, Niklas Strauß, Matthias Schubert, Yunpu Ma, Thomas Seidl:
Constrained Portfolio Management Using Action Space Decomposition for Reinforcement Learning. PAKDD (2) 2023: 373-385 - [c7]Lukas Rottkamp, Niklas Strauß, Matthias Schubert:
DEAR: Dynamic Electric Ambulance Redeployment. SSTD 2023: 11-20 - [i1]Maximilian Bernhard, Niklas Strauß, Matthias Schubert:
MapFormer: Boosting Change Detection by Using Pre-change Information. CoRR abs/2303.17859 (2023) - 2022
- [c6]Lukas Rottkamp, Matthias Schubert, Niklas Strauß:
Efficient on-street parking sensor placement. IWCTS@SIGSPATIAL 2022: 13:1-13:8 - [c5]Niklas Strauß, Max Berrendorf, Tom Haider, Matthias Schubert:
A Comparison of Ambulance Redeployment Systems on Real-World Data. ICDM (Workshops) 2022: 1-8 - [c4]David Winkel, Niklas Strauß, Matthias Schubert, Thomas Seidl:
Risk-Aware Reinforcement Learning for Multi-Period Portfolio Selection. ECML/PKDD (6) 2022: 185-200 - [c3]Niklas Strauß, David Winkel, Max Berrendorf, Matthias Schubert:
Reinforcement Learning for Multi-Agent Stochastic Resource Collection. ECML/PKDD (4) 2022: 200-215 - 2021
- [c2]Niklas Strauß, Lukas Rottkamp, Sebastian Schmoll, Matthias Schubert:
Efficient Parking Search using Shared Fleet Data. MDM 2021: 115-120
2010 – 2019
- 2019
- [c1]Evgeniy Faerman, Manuell Rogalla, Niklas Strauß, Adrian Krüger, Benedict Blümel, Max Berrendorf, Michael Fromm, Matthias Schubert:
Spatial Interpolation with Message Passing Framework. ICDM Workshops 2019: 135-141
Coauthor Index
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last updated on 2024-10-28 20:15 CET by the dblp team
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