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David Jonietz
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2020 – today
- 2022
- [c15]Bo Xu, David Jonietz, Rohit Gupta, Ali Soleymani, Kevin Malm, Reinhard Köhn:
STAMP: An Approach to ETA Prediction by Spatio-temporal Discretization and Machine Learning. ITSC 2022: 893-900 - [i2]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 abs/2203.17070 (2022) - [i1]David Jonietz, Monika Sester, Kathleen Stewart, Stephan Winter, Martin Tomko, Yanan Xin:
Urban Mobility Analytics (Dagstuhl Seminar 22162). Dagstuhl Reports 12(4): 26-53 (2022) - 2021
- [j6]Pengxiang Zhao, David Jonietz, Martin Raubal:
Applying frequent-pattern mining and time geography to impute gaps in smartphone-based human-movement data. Int. J. Geogr. Inf. Sci. 35(11): 2187-2215 (2021) - [c14]Dominik Bucher, Henry Martin, David Jonietz, Martin Raubal, René Westerholt:
Estimation of Moran's I in the Context of Uncertain Mobile Sensor Measurements. GIScience (I) 2021: 2:1-2:15 - [c13]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: 97-112 - 2020
- [c12]Michael Kopp, David P. Kreil, Moritz Neun, David Jonietz, Henry Martin, Pedro Herruzo, Aleksandra Gruca, Ali Soleymani, Fanyou Wu, Yang Liu, Jingwei Xu, Jianjin Zhang, Jay Santokhi, Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis, Pak Hay Kwok, Qi Qi, Sepp Hochreiter:
Traffic4cast at NeurIPS 2020 ? yet more on theunreasonable effectiveness of gridded geo-spatial processes. NeurIPS (Competition and Demos) 2020: 325-343
2010 – 2019
- 2019
- [c11]David Jonietz, Michael Kopp:
Towards Modeling Geographical Processes with Generative Adversarial Networks (GANs) (Short Paper). COSIT 2019: 27:1-27:9 - [c10]David P. Kreil, Michael K. Kopp, David Jonietz, Moritz Neun, Aleksandra Gruca, Pedro Herruzo, Henry Martin, Ali Soleymani, Sepp Hochreiter:
The surprising efficiency of framing geo-spatial time series forecasting as a video prediction task - Insights from the IARAI Traffic4cast Competition at NeurIPS 2019. NeurIPS (Competition and Demos) 2019: 232-241 - 2018
- [j5]Dominik Bucher, Francesca Mangili, Claudio Bonesana, David Jonietz, Francesca Cellina, Martin Raubal:
Demo Abstract: Extracting eco-feedback information from automatic activity tracking to promote energy-efficient individual mobility behavior. Comput. Sci. Res. Dev. 33(1-2): 267-268 (2018) - [j4]Jorim Urner, Dominik Bucher, Jing Yang, David Jonietz:
Assessing the Influence of Spatio-Temporal Context for Next Place Prediction using Different Machine Learning Approaches. ISPRS Int. J. Geo Inf. 7(5): 166 (2018) - [c9]David Jonietz, Dominik Bucher, Henry Martin, Martin Raubal:
Identifying and Interpreting Clusters of Persons with Similar Mobility Behaviour Change Processes. AGILE Conf. 2018: 291-307 - [c8]David Jonietz, Dominik Bucher:
Continuous Trajectory Pattern Mining for Mobility Behaviour Change Detection. LBS 2018: 211-230 - 2017
- [j3]David Jonietz, Vyron Antoniou, Linda See, Alexander Zipf:
Highlighting Current Trends in Volunteered Geographic Information. ISPRS Int. J. Geo Inf. 6(7): 202 (2017) - [c7]David Jonietz, Peter Kiefer:
Uncertainty in Wayfinding: A Conceptual Framework and Agent-Based Model. COSIT 2017: 15:1-15:14 - [c6]Ioannis Giannopoulos, David Jonietz, Martin Raubal, Georgios Sarlas, Lisa Stähli:
Timing of Pedestrian Navigation Instructions. COSIT 2017: 16:1-16:13 - 2016
- [b1]David Jonietz:
From Space to Place: A Computational Model of Functional Place. University of Augsburg, Germany, 2016 - [j2]Jonathan Bitsch, David Jonietz, Sabine Timpf:
Eine agentenbasierte Fußgängersimulation zur Bewertung der Bewegungs- und Nutzungsmuster eines städtischen Platzes. AGIT Journal Angew. Geoinformatik 2: 353-363 (2016) - [j1]David Jonietz, Alexander Zipf:
Defining Fitness-for-Use for Crowdsourced Points of Interest (POI). ISPRS Int. J. Geo Inf. 5(9): 149 (2016) - [c5]David Jonietz:
Personalizing Walkability: A Concept for Pedestrian Needs Profiling Based on Movement Trajectories. AGILE Conf. 2016: 279-295 - [c4]Dominik Bucher, David Jonietz, Martin Raubal:
A Heuristic for Multi-modal Route Planning. LBS 2016: 211-229 - 2014
- [c3]Carolin von Groote-Bidlingmaier, David Jonietz, Sabine Timpf:
Calculating Route Probability from Uncertain Origins to a Destination. LBS 2014: 19-32 - 2013
- [c2]David Jonietz, Wolfgang Schuster, Sabine Timpf:
Modelling the Suitability of Urban Networks for Pedestrians: An Affordance-Based Framework. AGILE Conf. 2013: 369-382 - [c1]David Jonietz, Sabine Timpf:
An Affordance-Based Simulation Framework for Assessing Spatial Suitability. COSIT 2013: 169-184
Coauthor Index
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