| Dynamic route planning with real-time traffic predictions T Liebig, N Piatkowski, C Bockermann, K Morik Information Systems 64, 258-265, 2017 | 180 | 2017 |
| Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management. A Artikis, M Weidlich, F Schnitzler, I Boutsis, T Liebig, N Piatkowski, ... EDBT 14, 712-723, 2014 | 139 | 2014 |
| Visual Analytics for Understanding Spatial Situations from Episodic Movement Data N Andrienko, G Andrienko, H Stange, T Liebig, D Hecker KI-Künstliche Intelligenz, 1-11, 2012 | 88 | 2012 |
| Predictive trip planning-smart routing in smart cities. T Liebig, N Piatkowski, C Bockermann, K Morik EDBT/ICDT Workshops, 331-338, 2014 | 78 | 2014 |
| Analytical workflow of monitoring human mobility in big event settings using bluetooth H Stange, T Liebig, D Hecker, G Andrienko, N Andrienko Proceedings of the 3rd ACM SIGSPATIAL international workshop on indoor …, 2011 | 61 | 2011 |
| Using data from location based social networks for urban activity clustering R Rösler, T Liebig Geographic information science at the heart of Europe, 55-72, 2013 | 54 | 2013 |
| Boosting vehicle-to-cloud communication by machine learning-enabled context prediction B Sliwa, R Falkenberg, T Liebig, N Piatkowski, C Wietfeld IEEE Transactions on Intelligent Transportation Systems 21 (8), 3497-3512, 2019 | 46 | 2019 |
| Conditional sum-product networks: Imposing structure on deep probabilistic architectures X Shao, A Molina, A Vergari, K Stelzner, R Peharz, T Liebig, K Kersting International Conference on Probabilistic Graphical Models, 401-412, 2020 | 42 | 2020 |
| Geospatial IoT—The need for event-driven architectures in contemporary spatial data infrastructures M Rieke, L Bigagli, S Herle, S Jirka, A Kotsev, T Liebig, C Malewski, ... ISPRS International Journal of Geo-Information 7 (10), 385, 2018 | 40 | 2018 |
| Pedestrian quantity estimation with trajectory patterns T Liebig, Z Xu, M May, S Wrobel Machine Learning and Knowledge Discovery in Databases: European Conference …, 2012 | 40 | 2012 |
| Efficient machine-type communication using multi-metric context-awareness for cars used as mobile sensors in upcoming 5G networks B Sliwa, T Liebig, R Falkenberg, J Pillmann, C Wietfeld 2018 IEEE 87th Vehicular Technology Conference (VTC Spring), 1-6, 2018 | 34 | 2018 |
| Report from Dagstuhl: the liberation of mobile location data and its implications for privacy research G Andrienko, A Gkoulalas-Divanis, M Gruteser, C Kopp, T Liebig, ... ACM SIGMOBILE Mobile Computing and Communications Review 17 (2), 7-18, 2013 | 32 | 2013 |
| Machine learning based context-predictive car-to-cloud communication using multi-layer connectivity maps for upcoming 5G networks B Sliwa, R Falkenberg, T Liebig, J Pillmann, C Wietfeld 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), 1-7, 2018 | 31 | 2018 |
| Artificial intelligence for hospital health care: Application cases and answers to challenges in European hospitals M Klumpp, M Hintze, M Immonen, F Ródenas-Rigla, F Pilati, ... Healthcare 9 (8), 961, 2021 | 28 | 2021 |
| Heterogeneous stream processing for disaster detection and alarming F Schnizler, T Liebig, S Marmor, G Souto, S Bothe, H Stange 2014 IEEE International Conference on Big Data (Big Data), 914-923, 2014 | 28 | 2014 |
| MODELLING MICROSCOPIC PEDESTRIAN MOBILITY USING BLUETOOTH T Liebig, AU Kemloh Wagoum ICAART, 270-275, 2012 | 26 | 2012 |
| Heterogeneous stream processing and crowdsourcing for traffic monitoring: Highlights F Schnitzler, A Artikis, M Weidlich, I Boutsis, T Liebig, N Piatkowski, ... Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014 | 23 | 2014 |
| System-of-systems modeling, analysis and optimization of hybrid vehicular traffic B Sliwa, T Liebig, T Vranken, M Schreckenberg, C Wietfeld 2019 IEEE International Systems Conference (SysCon), 1-8, 2019 | 21 | 2019 |
| Dynamic map update of non-static facility logistics environment with a multi-robot system N Shaik, T Liebig, C Kirsch, H Müller KI 2017: Advances in Artificial Intelligence: 40th Annual German Conference …, 2017 | 21 | 2017 |
| Combining a Gauss-Markov model and Gaussian process for traffic prediction in Dublin city center. F Schnitzler, T Liebig, S Mannor, K Morik EDBT/ICDT Workshops, 373-374, 2014 | 21 | 2014 |
Katharina MorikProfessor of Computer Science, TU Dortmund UniversityVerified email at tu-dortmund.de
