Nico Piatkowski
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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
Dynamic route planning with real-time traffic predictions
T Liebig, N Piatkowski, C Bockermann, K Morik
Information Systems 64, 258-265, 2017
Predictive Trip Planning-Smart Routing in Smart Cities.
T Liebig, N Piatkowski, C Bockermann, K Morik
EDBT/ICDT Workshops, 331-338, 2014
Towards intelligent team composition and maneuvering in real-time strategy games
M Preuss, N Beume, H Danielsiek, T Hein, B Naujoks, N Piatkowski, ...
IEEE Transactions on Computational Intelligence and AI in Games 2 (2), 82-98, 2010
Spatio-temporal random fields: compressible representation and distributed estimation
N Piatkowski, S Lee, K Morik
Machine learning 93 (1), 115-139, 2013
Integer undirected graphical models for resource-constrained systems
N Piatkowski, S Lee, K Morik
Neurocomputing 173, 9-23, 2016
Predicting next network cell IDs for moving users with Discriminative and Generative Models
S Michaelis, N Piatkowski, K Morik
Proceedings of the Mobile Data Challenge by Nokia Workshop in Conjunction …, 2012
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
Machine learning based uplink transmission power prediction for LTE and upcoming 5G networks using passive downlink indicators
R Falkenberg, B Sliwa, N Piatkowski, C Wietfeld
2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), 1-7, 2018
Heterogeneous stream processing and crowdsourcing for traffic monitoring: Highlights
F Schnitzler, A Artikis, M Weidlich, I Boutsis, T Liebig, N Piatkowski, ...
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2014
Exponential families on resource-constrained systems
NP Piatkowski
Intelligent anti-grouping in real-time strategy games
N Beume, T Hein, B Naujoks, N Piatkowski, M Preuss, S Wessing
2008 IEEE Symposium On Computational Intelligence and Games, 63-70, 2008
Efficiently approximating the probability of deadline misses in real-time systems
G von der Brüggen, N Piatkowski, KH Chen, JJ Chen, K Morik
30th Euromicro Conference on Real-Time Systems (ECRTS 2018), 2018
Route Planning with Real-Time Traffic Predictions.
T Liebig, N Piatkowski, C Bockermann, K Morik
LWA, 83-94, 2014
The PRIMPING routine—Tiling through proximal alternating linearized minimization
S Hess, K Morik, N Piatkowski
Data Mining and Knowledge Discovery 31 (4), 1090-1131, 2017
LIMITS: Lightweight machine learning for IoT systems with resource limitations
B Sliwa, N Piatkowski, C Wietfeld
ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-7, 2020
Towards adjusting mobile devices to user’s behaviour
P Fricke, F Jungermann, K Morik, N Piatkowski, O Spinczyk, M Stolpe, ...
Analysis of Social Media and Ubiquitous Data, 99-118, 2010
Parallel inference on structured data with crfs on gpus
N Piatkowski, K Morik
International Workshop at ECML PKDD on Collective Learning and Inference on …, 2011
The Integer Approximation of Undirected Graphical Models.
N Piatkowski, S Lee, K Morik
ICPRAM, 296-304, 2014
A QUBO Formulation of the k-Medoids Problem.
C Bauckhage, N Piatkowski, R Sifa, D Hecker, S Wrobel
LWDA, 54-63, 2019
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