Követés
Nico Piatkowski
Nico Piatkowski
Fraunhofer IAIS
E-mail megerősítve itt: iais.fraunhofer.de
Cím
Hivatkozott rá
Hivatkozott rá
Év
Dynamic route planning with real-time traffic predictions
T Liebig, N Piatkowski, C Bockermann, K Morik
Information Systems 64, 258-265, 2017
2002017
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
Predictive trip planning-smart routing in smart cities.
T Liebig, N Piatkowski, C Bockermann, K Morik
EDBT/ICDT Workshops, 331-338, 2014
812014
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
562010
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
512019
Spatio-temporal random fields: compressible representation and distributed estimation
N Piatkowski, S Lee, K Morik
Machine learning 93, 115-139, 2013
512013
A QUBO Formulation of the k-Medoids Problem.
C Bauckhage, N Piatkowski, R Sifa, D Hecker, S Wrobel
LWDA, 54-63, 2019
492019
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
462020
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
412018
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
412018
The channel as a traffic sensor: Vehicle detection and classification based on radio fingerprinting
B Sliwa, N Piatkowski, C Wietfeld
IEEE Internet of Things Journal 7 (8), 7392-7406, 2020
402020
Integer undirected graphical models for resource-constrained systems
N Piatkowski, S Lee, K Morik
Neurocomputing 173, 9-23, 2016
372016
Feature selection on quantum computers
S Mücke, R Heese, S Müller, M Wolter, N Piatkowski
Quantum Machine Intelligence 5 (1), 11, 2023
322023
The PRIMPING routine—Tiling through proximal alternating linearized minimization
S Hess, K Morik, N Piatkowski
Data Mining and Knowledge Discovery 31, 1090-1131, 2017
302017
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
262014
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
262012
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
252018
Learning Bit by Bit: Extracting the Essence of Machine Learning.
S Mücke, N Piatkowski, K Morik
LWDA, 144-155, 2019
222019
Exponential families on resource-constrained systems
NP Piatkowski
Ausgezeichnete Informatikdissertationen 2018, 181-190, 2019
222019
Quantum circuit evolution on nisq devices
L Franken, B Georgiev, S Mucke, M Wolter, R Heese, C Bauckhage, ...
2022 IEEE congress on evolutionary computation (CEC), 1-8, 2022
20*2022
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