Nina Wiedemann

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 25

Top Topics

Differential Diagnosis

Floating Car Data

Vehicular Traffic

Top Venues

Comput. Environ. Urban Syst.

Publications

Nina Wiedemann, Christian Nöbel, Henry Martin, Lukas Ballo, Martin Raubal
Bike network planning in limited urban space. CoRR (2024)
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) (2024)
Alexander Timans, Nina Wiedemann, Nishant Kumar, Ye Hong, Martin Raubal
Uncertainty Quantification for Image-based Traffic Prediction across Cities. CoRR (2023)
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 (2023)
Nina Wiedemann, Yanan Xin, Vasco Medici, Lorenzo Nespoli, Esra Suel, Martin Raubal
Vehicle-to-grid for car sharing - A simulation study for 2030. CoRR (2023)
Nina Wiedemann, Henry Martin, René Westerholt
Benchmarking Regression Models Under Spatial Heterogeneity. GIScience (2023)
Moritz Neun, Christian Eichenberger, Yanan Xin, Cheng Fu, Nina Wiedemann, Henry Martin, Martin Tomko, Lukas Ambühl, Luca Hermes, Michael Kopp
Metropolitan Segment Traffic Speeds From Massive Floating Car Data in 10 Cities. IEEE Trans. Intell. Transp. Syst. 24 (11) (2023)
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) (2023)
Henry Martin, Ye Hong, Nina Wiedemann, Dominik Bucher, Martin Raubal
Trackintel: An open-source Python library for human mobility analysis. Comput. Environ. Urban Syst. 101 (2023)
Nina Wiedemann, Valentin Wüest, Antonio Loquercio, Matthias Müller, Dario Floreano, Davide Scaramuzza
Training Efficient Controllers via Analytic Policy Gradient. ICRA (2023)
Dominik J. Mühlematter, Nina Wiedemann, Yanan Xin, Martin Raubal
Spatially-Aware Car-Sharing Demand Prediction. CoRR (2023)
Nina Wiedemann, Ye Hong, Martin Raubal
Predicting visit frequencies to new places (Short Paper). GIScience (2023)
Moritz Neun, Christian Eichenberger, Yanan Xin, Cheng Fu, Nina Wiedemann, Henry Martin, Martin Tomko, Lukas Ambühl, Luca Hermes, Michael Kopp
Metropolitan Segment Traffic Speeds from Massive Floating Car Data in 10 Cities. CoRR (2023)
Henry Martin, Nina Wiedemann, Daniel J. Reck, Martin Raubal
Graph-based mobility profiling. Comput. Environ. Urban Syst. 100 (2023)
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) (2023)
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, Hai L. Vu, Reza Mohajerpoor, Chen Cai, Inhi Kim, Luca Hermes, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling, Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis, Jay Santokhi, Dylan Hillier, Yiming Yang, Joned Sarwar, Anna Jordan, Emil Hewage, David Jonietz, Fei Tang, Aleksandra Gruca, Michael Kopp, David P. Kreil, Sepp Hochreiter
Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. CoRR (2022)
Nina Wiedemann, Valentin Wüest, Antonio Loquercio, Matthias Müller, Dario Floreano, Davide Scaramuzza
Training Efficient Controllers via Analytic Policy Gradient. CoRR (2022)
Lorenzo Nespoli, Nina Wiedemann, Esra Suel, Yanan Xin, Martin Raubal, Vasco Medici
National-scale bi-directional EV fleet control for ancillary service provision. CoRR (2022)
Nina Wiedemann, Martin Raubal
Traffic Forecasting on Traffic Moving Snippets. CoRR (2021)
Nina Wiedemann, David Adjiashvili
An Optimization Framework for Power Infrastructure Planning. CoRR (2021)
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, Hai L. Vu, Reza Mohajerpoor, Chen Cai, Inhi Kim, Luca Hermes, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling, Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis, Jay Santokhi, Dylan Hillier, Yiming Yang, Joned Sarwar, Anna Jordan, Emil Hewage, David Jonietz, Fei Tang, Aleksandra Gruca, Michael Kopp, David P. Kreil, Sepp Hochreiter
Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. NeurIPS (Competition and Demos) (2021)
Jannis Born, Nina Wiedemann, Gabriel Brändle, Charlotte Buhre, Bastian Rieck, Karsten M. Borgwardt
Accelerating COVID-19 Differential Diagnosis with Explainable Ultrasound Image Analysis. CoRR (2020)
Nina Wiedemann, Carlos A. Dietrich, Cláudio T. Silva
A Tracking System For Baseball Game Reconstruction. CoRR (2020)
Jannis Born, Gabriel Brändle, Manuel Cossio, Marion Disdier, Julie Goulet, Jérémie Roulin, Nina Wiedemann
POCOVID-Net: Automatic Detection of COVID-19 From a New Lung Ultrasound Imaging Dataset (POCUS). CoRR (2020)
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)