| Dynamic route planning with real-time traffic predictions T Liebig, N Piatkowski, C Bockermann, K Morik Information Systems 64, 258-265, 2017 | 200 | 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 | 142 | 2014 |
| Predictive trip planning-smart routing in smart cities. T Liebig, N Piatkowski, C Bockermann, K Morik EDBT/ICDT Workshops, 331-338, 2014 | 82 | 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 | 57 | 2010 |
| 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 | 56 | 2019 |
| Spatio-temporal random fields: compressible representation and distributed estimation N Piatkowski, S Lee, K Morik Machine learning 93, 115-139, 2013 | 51 | 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 |
| 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 | 46 | 2020 |
| 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 | 44 | 2018 |
| 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 | 42 | 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 | 41 | 2018 |
| Integer undirected graphical models for resource-constrained systems N Piatkowski, S Lee, K Morik Neurocomputing 173, 9-23, 2016 | 38 | 2016 |
| Feature selection on quantum computers S Mücke, R Heese, S Müller, M Wolter, N Piatkowski Quantum Machine Intelligence 5 (1), 11, 2023 | 37 | 2023 |
| 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 | 27 | 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 |
| 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 | 25 | 2018 |
| 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 | 22* | 2022 |
| Learning Bit by Bit: Extracting the Essence of Machine Learning. S Mücke, N Piatkowski, K Morik LWDA, 144-155, 2019 | 22 | 2019 |
| Exponential families on resource-constrained systems NP Piatkowski Ausgezeichnete Informatikdissertationen 2018, 181-190, 2019 | 22 | 2019 |
Katharina MorikProfessor of Computer Science, TU Dortmund UniversityVerified email at tu-dortmund.de
