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Nina Wiedemann
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2020 – today
- 2024
- [j7]Nina Wiedemann, Krzysztof Janowicz, Martin Raubal, Ourania Kounadi:
Where you go is who you are: a study on machine learning based semantic privacy attacks. J. Big Data 11(1): 39 (2024) - [j6]Ayda Grisiute, Nina Wiedemann, Pieter Herthogs, Martin Raubal:
An ontology-based approach for harmonizing metrics in bike network evaluations. Comput. Environ. Urban Syst. 113: 102178 (2024) - [i15]Nina Wiedemann, Christian Nöbel, Henry Martin, Lukas Ballo, Martin Raubal:
Bike network planning in limited urban space. CoRR abs/2405.01770 (2024) - [i14]Nina Wiedemann, Théo Uscidda, Martin Raubal:
On the potential of Optimal Transport in Geospatial Data Science. CoRR abs/2410.11709 (2024) - 2023
- [j5]Lorenzo Nespoli
, Nina Wiedemann, Esra Suel, Yanan Xin, Martin Raubal, Vasco Medici
National-scale bi-directional EV fleet control for ancillary service provision. Energy Inform. 6(1): 40 (2023) - [j4]Nina Wiedemann, Henry Martin, Esra Suel, Ye Hong, Yanan Xin:
Influence of tracking duration on the privacy of individual mobility graphs. J. Locat. Based Serv. 17(4): 370-388 (2023) - [j3]Moritz Neun
Metropolitan Segment Traffic Speeds From Massive Floating Car Data in 10 Cities. IEEE Trans. Intell. Transp. Syst. 24(11): 12821-12830 (2023) - [j2]Henry Martin
Graph-based mobility profiling. Comput. Environ. Urban Syst. 100: 101910 (2023) - [j1]Henry Martin
Trackintel: An open-source Python library for human mobility analysis. Comput. Environ. Urban Syst. 101: 101938 (2023) - [c5]Nina Wiedemann, Henry Martin, René Westerholt
Benchmarking Regression Models Under Spatial Heterogeneity. GIScience 2023: 11:1-11:15 - [c4]Nina Wiedemann, Ye Hong, Martin Raubal:
Predicting visit frequencies to new places (Short Paper). GIScience 2023: 84:1-84:6 - [c3]Nina Wiedemann, Valentin Wüest
Training Efficient Controllers via Analytic Policy Gradient. ICRA 2023: 1349-1356 - [i13]Moritz Neun, Christian Eichenberger
Metropolitan Segment Traffic Speeds from Massive Floating Car Data in 10 Cities. CoRR abs/2302.08761 (2023) - [i12]Dominik J. Mühlematter, Nina Wiedemann, Yanan Xin, Martin Raubal:
Spatially-Aware Car-Sharing Demand Prediction. CoRR abs/2303.14421 (2023) - [i11]Alexander Timans, Nina Wiedemann, Nishant Kumar, Ye Hong, Martin Raubal:
Uncertainty Quantification for Image-based Traffic Prediction across Cities. CoRR abs/2308.06129 (2023) - [i10]Nina Wiedemann, Ourania Kounadi, Martin Raubal, Krzysztof Janowicz:
Where you go is who you are - A study on machine learning based semantic privacy attacks. CoRR abs/2310.17643 (2023) - [i9]Nina Wiedemann, Yanan Xin, Vasco Medici, Lorenzo Nespoli, Esra Suel, Martin Raubal:
Vehicle-to-grid for car sharing - A simulation study for 2030. CoRR abs/2311.07349 (2023) - 2022
- [i8]Christian Eichenberger
Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. CoRR abs/2203.17070 (2022) - [i7]Nina Wiedemann, Valentin Wüest, Antonio Loquercio, Matthias Müller, Dario Floreano, Davide Scaramuzza
Training Efficient Controllers via Analytic Policy Gradient. CoRR abs/2209.13052 (2022) - [i6]Lorenzo Nespoli, Nina Wiedemann, Esra Suel, Yanan Xin, Martin Raubal, Vasco Medici:
National-scale bi-directional EV fleet control for ancillary service provision. CoRR abs/2210.07756 (2022) - 2021
- [c2]Christian Eichenberger, Moritz Neun, Henry Martin, Pedro Herruzo, Markus Spanring, Yichao Lu, Sungbin Choi, Vsevolod Konyakhin, Nina Lukashina, Aleksei Shpilman, Nina Wiedemann, Martin Raubal, Bo Wang
Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. NeurIPS (Competition and Demos) 2021: 97-112 - [i5]Nina Wiedemann, David Adjiashvili:
An Optimization Framework for Power Infrastructure Planning. CoRR abs/2101.03388 (2021) - [i4]Nina Wiedemann, Martin Raubal:
Traffic Forecasting on Traffic Moving Snippets. CoRR abs/2110.14383 (2021) - 2020
- [i3]Nina Wiedemann
A Tracking System For Baseball Game Reconstruction. CoRR abs/2003.03856 (2020) - [i2]Jannis Born
POCOVID-Net: Automatic Detection of COVID-19 From a New Lung Ultrasound Imaging Dataset (POCUS). CoRR abs/2004.12084 (2020) - [i1]Jannis Born, Nina Wiedemann, Gabriel Brändle, Charlotte Buhre, Bastian Rieck, Karsten M. Borgwardt:
Accelerating COVID-19 Differential Diagnosis with Explainable Ultrasound Image Analysis. CoRR abs/2009.06116 (2020)
2010 – 2019
- 2019
- [c1]Nina Wiedemann, Friedemann Kammler, Andreas Varwig, Oliver Thomas:
Towards a Framework for Predictive Maintenance Strategies in Mechanical Engineering - A Method-Oriented Literature Analysis. Wirtschaftsinformatik 2019: 72-76
Coauthor Index
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