Towards a Framework for Predictive Maintenance Strategies in Mechanical Engineering - A Method-Oriented Literature Analysis. - Nina Wiedemann; Friedemann Kammler; Andreas Varwig; Oliver Thomas 001 (Wirtschaftsinformatik, 2019)

A Tracking System For Baseball Game Reconstruction. - Nina Wiedemann; Carlos A. Dietrich; Cláudio T. Silva (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)

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)

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; et al. (NeurIPS (Competition and Demos), 2021)

An Optimization Framework for Power Infrastructure Planning. - Nina Wiedemann; David Adjiashvili (CoRR, 2021)

Traffic Forecasting on Traffic Moving Snippets. - Nina Wiedemann; Martin Raubal (CoRR, 2021)

Unlocking social network analysis methods for studying human mobility. - Nina Wiedemann; Henry Martin; Martin Raubal (AGILE Conf., 2022)

Thinking Geographically about AI Sustainability. - Meilin Shi; Kitty Currier; Zilong Liu; Krzysztof Janowicz; Nina Wiedemann; Judith Verstegen; Grant McKenzie; Anita Graser; Rui Zhu 008; Gengchen Mai (AGILE Conf., 2023)

Predicting visit frequencies to new places (Short Paper). - Nina Wiedemann; Ye Hong; Martin Raubal (GIScience, 2023)

Benchmarking Regression Models Under Spatial Heterogeneity. - Nina Wiedemann; Henry Martin; René Westerholt (GIScience, 2023)

Training Efficient Controllers via Analytic Policy Gradient. - Nina Wiedemann; Valentin Wüest; Antonio Loquercio; Matthias Müller 011; Dario Floreano; Davide Scaramuzza 001 (ICRA, 2023)

Spatially-Aware Car-Sharing Demand Prediction. - Dominik J. Mühlematter; Nina Wiedemann; Yanan Xin 001; 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)

Vehicle-to-grid for car sharing - A simulation study for 2030. - Nina Wiedemann; Yanan Xin 001; Vasco Medici; Lorenzo Nespoli; Esra Suel; Martin Raubal (CoRR, 2023)

National-scale bi-directional EV fleet control for ancillary service provision. - Lorenzo Nespoli; Nina Wiedemann; Esra Suel; Yanan Xin 001; Martin Raubal; Vasco Medici (Energy Inform., 2023)

Graph-based mobility profiling. - Henry Martin; Nina Wiedemann; Daniel J. Reck; Martin Raubal (Comput. Environ. Urban Syst., 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., 2023)

Influence of tracking duration on the privacy of individual mobility graphs. - Nina Wiedemann; Henry Martin; Esra Suel; Ye Hong; Yanan Xin 001 (J. Locat. Based Serv., 2023)

Metropolitan Segment Traffic Speeds From Massive Floating Car Data in 10 Cities. - Moritz Neun; Christian Eichenberger; Yanan Xin 001; Cheng Fu; Nina Wiedemann; Henry Martin; Martin Tomko; Lukas Ambühl; Luca Hermes; Michael Kopp 001 (IEEE Trans. Intell. Transp. Syst., 2023)

MIDGArD: Modular Interpretable Diffusion over Graphs for Articulated Designs. - Quentin Leboutet; Nina Wiedemann; Zhipeng Cai; Michael Paulitsch; Kai Yuan (NeurIPS, 2024)

Bike network planning in limited urban space. - Nina Wiedemann; Christian Nöbel; Henry Martin; Lukas Ballo; Martin Raubal (CoRR, 2024)

On the potential of Optimal Transport in Geospatial Data Science. - Nina Wiedemann; Théo Uscidda; Martin Raubal (CoRR, 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)

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, 2024)