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Thomas Liebig
Titolo
Citata da
Citata da
Anno
Dynamic route planning with real-time traffic predictions
T Liebig, N Piatkowski, C Bockermann, K Morik
Information Systems 64, 258-265, 2017
1952017
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
1402014
Visual Analytics for Understanding Spatial Situations from Episodic Movement Data
N Andrienko, G Andrienko, H Stange, T Liebig, D Hecker
KI-KŘnstliche Intelligenz, 1-11, 2012
902012
Predictive trip planning-smart routing in smart cities.
T Liebig, N Piatkowski, C Bockermann, K Morik
EDBT/ICDT Workshops, 331-338, 2014
792014
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 indoorá…, 2011
632011
Using data from location based social networks for urban activity clustering
R R÷sler, T Liebig
Geographic information science at the heart of Europe, 55-72, 2013
552013
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
492019
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
462020
Artificial intelligence for hospital health care: Application cases and answers to challenges in European hospitals
M Klumpp, M Hintze, M Immonen, F Rˇdenas-Rigla, F Pilati, ...
Healthcare 9 (8), 961, 2021
412021
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
412018
Pedestrian quantity estimation with trajectory patterns
T Liebig, Z Xu, M May, S Wrobel
Machine Learning and Knowledge Discovery in Databases: European Conferenceá…, 2012
402012
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
352018
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
322018
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
322013
Heterogeneous stream processing for disaster detection and alarming
F Schnizler, T Liebig, S Mannor, G Souto, S Bothe, H Stange
2014 IEEE International Conference on Big Data (Big Data), 914-923, 2014
282014
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 Conferenceá…, 2014
262014
MODELLING MICROSCOPIC PEDESTRIAN MOBILITY USING BLUETOOTH
T Liebig, AU Kemloh Wagoum
ICAART, 270-275, 2012
262012
Evaluating machine unlearning via epistemic uncertainty
A Becker, T Liebig
arXiv preprint arXiv:2208.10836, 2022
222022
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
222014
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
212019
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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