Nico Piatkowski

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Katharina MorikProfessor of Computer Science, TU Dortmund UniversityVerified email at tu-dortmund.de
Sascha MückeTU Dortmund UniversityVerified email at tu-dortmund.de
Christian BauckhageProf. of Computer Science, University of Bonn, Fraunhofer IAIS, LAMARR InstituteVerified email at bit.uni-bonn.de
Thomas LiebigTU DortmundVerified email at tu-dortmund.de
Christian BockermannProfessor @ HS Bochum University of Applied SciencesVerified email at hs-bochum.de
Christian WietfeldProfessor for Communication Networks, TU Dortmund UniversityVerified email at tu-dortmund.de
Benjamin SliwaDr.-Ing. | Senior Software Engineer | Volkswagen Infotainment GmbHVerified email at tu-dortmund.de
Boris NaujoksCologne University of Applied SciencesVerified email at fh-koeln.de
Thore GerlachResearch Scientist (PhD student), Fraunhofer IAIS, University of BonnVerified email at iais.fraunhofer.de
Raoul HeeseResearch Fellow at Fraunhofer ITWMVerified email at itwm.fraunhofer.de
François SchnitzlerSenior Scientist, InterDigitalVerified email at interdigital.com
Vana KalogerakiProfessor, Department of Informatics, Athens University of Economics and Business, Athens, GreeceVerified email at aueb.gr
Mike PreussUniversiteit LeidenVerified email at liacs.leidenuniv.nl
Moritz WolterHigh Performance Computing and Analytics Lab, Bonn UniversityVerified email at cs.uni-bonn.de
Sangkyun LeeSchool of Cybersecurity, Korea UniversityVerified email at korea.ac.kr
Dimitrios GunopulosNational and Kapodistrian University of AthensVerified email at di.uoa.gr
Avigdor GalTechnion -- Israel Institute of TechnologyVerified email at technion.ac.il
Ioannis BoutsisAthens University of Economics and BusinessVerified email at aueb.gr
Shie MannorProfessor of Electrical Engineering @ Technion & Researcher @ NvidiaVerified email at technion.ac.il
Matthias WeidlichHumboldt-Universität zu BerlinVerified email at hu-berlin.de

Nico Piatkowski

Fraunhofer IAIS

Verified email at iais.fraunhofer.de

Probabilistic Machine Learning Regularization Quantum Computing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Dynamic route planning with real-time traffic predictions T Liebig, N Piatkowski, C Bockermann, K Morik Information Systems 64, 258-265, 2017	204	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	141	2014
Predictive trip planning-smart routing in smart cities. T Liebig, N Piatkowski, C Bockermann, K Morik EDBT/ICDT Workshops, 331-338, 2014	85	2014
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	57	2019
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	57	2010
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	53	2020
Spatio-temporal random fields: compressible representation and distributed estimation N Piatkowski, S Lee, K Morik Machine learning 93, 115-139, 2013	53	2013
A QUBO Formulation of the k-Medoids Problem. C Bauckhage, N Piatkowski, R Sifa, D Hecker, S Wrobel LWDA, 54-63, 2019	50	2019
Efficiently approximating the probability of deadline misses in real-time systems G Von Der Brüggen, N Piatkowski, KH Chen, JJ Chen, K Morik Leibniz International Proceedings in Informatics, LIPIcs, 2018	47	2018
Feature selection on quantum computers S Mücke, R Heese, S Müller, M Wolter, N Piatkowski Quantum Machine Intelligence 5 (1), 11, 2023	44	2023
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	43	2020
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	43	2018
Integer undirected graphical models for resource-constrained systems N Piatkowski, S Lee, K Morik Neurocomputing 173, 9-23, 2016	40	2016
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	30*	2022
The PRIMPING routine—Tiling through proximal alternating linearized minimization S Hess, K Morik, N Piatkowski Data Mining and Knowledge Discovery 31, 1090-1131, 2017	30	2017
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	26	2014
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	26	2012
Learning Bit by Bit: Extracting the Essence of Machine Learning. S Mücke, N Piatkowski, K Morik LWDA, 144-155, 2019	25	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	24	2018
Exponential families on resource-constrained systems NP Piatkowski Ausgezeichnete Informatikdissertationen 2018, 181-190, 2019	23	2019

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