Nico Piatkowski
Nico Piatkowski
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
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
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
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
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
Exponential families on resource-constrained systems
NP Piatkowski
Ausgezeichnete Informatikdissertationen 2018, 2019
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
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
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
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
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
Route Planning with Real-Time Traffic Predictions.
T Liebig, N Piatkowski, C Bockermann, K Morik
LWA, 83-94, 2014
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
A QUBO Formulation of the k-Medoids Problem.
C Bauckhage, N Piatkowski, R Sifa, D Hecker, S Wrobel
LWDA, 54-63, 2019
Unification of deconvolution algorithms for cherenkov astronomy
M Bunse, N Piatkowski, K Morik, T Ruhe, W Rhode
2018 IEEE 5th International Conference on Data Science and Advanced …, 2018
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