Nina Wiedemann

According to our database, Nina Wiedemann authored at least 22 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Where you go is who you are: a study on machine learning based semantic privacy attacks.

Nina Wiedemann, Krzysztof Janowicz, Martin Raubal, Ourania Kounadi

J. Big Data, December, 2024

An ontology-based approach for harmonizing metrics in bike network evaluations.

Ayda Grisiute, Nina Wiedemann, Pieter Herthogs, Martin Raubal

Comput. Environ. Urban Syst., 2024

On the potential of Optimal Transport in Geospatial Data Science.

Nina Wiedemann, Théo Uscidda, Martin Raubal

CoRR, 2024

Bike network planning in limited urban space.

Nina Wiedemann, Christian Nöbel, Henry Martin, Lukas Ballo, Martin Raubal

CoRR, 2024

2023

Metropolitan Segment Traffic Speeds From Massive Floating Car Data in 10 Cities.

Moritz Neun, Christian Eichenberger, Yanan Xin, Cheng Fu, Nina Wiedemann, Henry Martin, Martin Tomko, Lukas Ambühl, Luca Hermes, Michael Kopp

IEEE Trans. Intell. Transp. Syst., November, 2023

Influence of tracking duration on the privacy of individual mobility graphs.

Nina Wiedemann, Henry Martin, Esra Suel, Ye Hong, Yanan Xin

J. Locat. Based Serv., October, 2023

Trackintel: An open-source Python library for human mobility analysis.

Henry Martin, Ye Hong, Nina Wiedemann, Dominik Bucher, Martin Raubal

Comput. Environ. Urban Syst., April, 2023

Graph-based mobility profiling.

Henry Martin, Nina Wiedemann, Daniel J. Reck, Martin Raubal

Comput. Environ. Urban Syst., March, 2023

National-scale bi-directional EV fleet control for ancillary service provision.

Lorenzo Nespoli, Nina Wiedemann, Esra Suel, Yanan Xin, Martin Raubal, Vasco Medici

Energy Inform., January, 2023

Vehicle-to-grid for car sharing - A simulation study for 2030.

Nina Wiedemann, Yanan Xin, Vasco Medici, Lorenzo Nespoli, Esra Suel, Martin Raubal

CoRR, 2023

Uncertainty Quantification for Image-based Traffic Prediction across Cities.

Alexander Timans, Nina Wiedemann, Nishant Kumar, Ye Hong, Martin Raubal

CoRR, 2023

Spatially-Aware Car-Sharing Demand Prediction.

Dominik J. Mühlematter, Nina Wiedemann, Yanan Xin, Martin Raubal

CoRR, 2023

Training Efficient Controllers via Analytic Policy Gradient.

Nina Wiedemann, Valentin Wüest, Antonio Loquercio, Matthias Müller, Dario Floreano, Davide Scaramuzza

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Benchmarking Regression Models Under Spatial Heterogeneity.

Nina Wiedemann, Henry Martin, René Westerholt

Proceedings of the 12th International Conference on Geographic Information Science, 2023

Predicting visit frequencies to new places (Short Paper).

Nina Wiedemann, Ye Hong, Martin Raubal

Proceedings of the 12th International Conference on Geographic Information Science, 2023

2021

Traffic Forecasting on Traffic Moving Snippets.

Nina Wiedemann, Martin Raubal

CoRR, 2021

An Optimization Framework for Power Infrastructure Planning.

Nina Wiedemann, David Adjiashvili

CoRR, 2021

Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes.

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

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

2020

Accelerating COVID-19 Differential Diagnosis with Explainable Ultrasound Image Analysis.

Jannis Born, Nina Wiedemann, Gabriel Brändle, Charlotte Buhre, Bastian Rieck, Karsten M. Borgwardt

CoRR, 2020

POCOVID-Net: Automatic Detection of COVID-19 From a New Lung Ultrasound Imaging Dataset (POCUS).

Jannis Born, Gabriel Brändle, Manuel Cossio, Marion Disdier, Julie Goulet, Jérémie Roulin, Nina Wiedemann

CoRR, 2020

A Tracking System For Baseball Game Reconstruction.

Nina Wiedemann, Carlos A. Dietrich, Cláudio T. Silva

CoRR, 2020

2019

Towards a Framework for Predictive Maintenance Strategies in Mechanical Engineering - A Method-Oriented Literature Analysis.

Nina Wiedemann, Friedemann Kammler, Andreas Varwig, Oliver Thomas

Proceedings of the Human Practice. Digital Ecologies. Our Future. 14. Internationale Tagung Wirtschaftsinformatik (WI 2019), 2019