Marcus Märtens

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Dario IzzoScientist at the European Space AgencyVerified email at esa.int
Christian SohlerProfessor for Algorithmic Data Analysis, University of CologneVerified email at uni-koeln.de
Luís F. SimõesML AnalyticsVerified email at esa.int
Fernando KuipersProfessor, Delft University of TechnologyVerified email at tudelft.nl
Daniel HennesResearch Scientist, Google DeepMindVerified email at google.com
Piet Van MieghemProfessor, Delft University of TechnologyVerified email at tudelft.nl
Andreas Cord-LandwehrHeinz Nixdorf Institute & Paderborn UniversityVerified email at uni-paderborn.de
Friedhelm Meyer auf der HeideProfessor of Computer Science, University of PaderbornVerified email at upb.de
Dr. Alexander KlaasWissenschaftlicher Mitarbeiter für Wirtschaftsinformatik, Heinz Nixdorf Institut, UniversitätVerified email at upb.de
Peter KlingUniversity of HamburgVerified email at uni-hamburg.de
Alexandru IosupProfessor of Comp.Sci., VU University Amsterdam, and Visiting Professor, TU DelftVerified email at vu.nl
Siqi ShenXiamen UniversityVerified email at xmu.edu.cn
Arjan HillebrandPhysicist/Associate Professor, VUmc, AmsterdamVerified email at vumc.nl
Prejaas TewarieUniversity of Twente/ University of NottinghamVerified email at nottingham.ac.uk
Jil MeierPostdoctoral Researcher at Charité BerlinVerified email at charite.de
Guido de CroonFull professor, Delft University of TechnologyVerified email at tudelft.nl
Krzysztof NowakEuropean Space AgencyVerified email at esa.int
Stefano CampagnolaResearcher at JAXAVerified email at missionanalysis.org
Hadi AsghariHumboldt Institute for Internet and SocietyVerified email at hiig.de
Michel van EetenProfessor, Governance of Cybersecurity, TU DelftVerified email at tudelft.nl

Marcus Märtens

European Space Agency

Verified email at esa.int - Homepage

Artificial Intelligence Complex Networks Computer Science Multi-objective Optimization Trajectory Optimization


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Streamkm++ a clustering algorithm for data streams MR Ackermann, M Märtens, C Raupach, K Swierkot, C Lammersen, ... Journal of Experimental Algorithmics (JEA) 17, 2.1-2.30, 2012	452	2012
A survey on artificial intelligence trends in spacecraft guidance dynamics and control D Izzo, M Märtens, B Pan Astrodynamics 3, 287-299, 2019	194	2019
Satellite pose estimation challenge: Dataset, competition design, and results M Kisantal, S Sharma, TH Park, D Izzo, M Märtens, S D’Amico IEEE Transactions on Aerospace and Electronic Systems 56 (5), 4083-4098, 2020	117	2020
Toxicity detection in multiplayer online games M Märtens, S Shen, A Iosup, F Kuipers 2015 International Workshop on Network and Systems Support for Games …, 2015	94	2015
Designing complex interplanetary trajectories for the global trajectory optimization competitions D Izzo, D Hennes, LF Simões, M Märtens Space Engineering: Modeling and Optimization with Case Studies, 151-176, 2016	55	2016
Collisionless gathering of robots with an extent A Cord-Landwehr, B Degener, M Fischer, M Hüllmann, B Kempkes, ... SOFSEM 2011: Theory and Practice of Computer Science: 37th Conference on …, 2011	55	2011
A new approach for analyzing convergence algorithms for mobile robots A Cord-Landwehr, B Degener, M Fischer, M Hüllmann, B Kempkes, ... Automata, Languages and Programming: 38th International Colloquium, ICALP …, 2011	53	2011
Super-resolution of PROBA-V images using convolutional neural networks M Märtens, D Izzo, A Krzic, D Cox Astrodynamics 3, 387-402, 2019	49	2019
Search for a grand tour of the jupiter galilean moons D Izzo, LF Simões, M Märtens, GCHE de Croon, A Heritier, CH Yam Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013	45	2013
The asynchronous island model and NSGA-II: study of a new migration operator and its performance M Märtens, D Izzo Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013	39	2013
The Kessler run: on the design of the GTOC9 challenge D Izzo, M Märtens Acta Futura 11 (1), 11-24, 2018	35	2018
Interplanetary transfers via deep representations of the optimal policy and/or of the value function D Izzo, E Öztürk, M Märtens Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019	33	2019
SPEED+: Next-generation dataset for spacecraft pose estimation across domain gap TH Park, M Märtens, G Lecuyer, D Izzo, S D'Amico 2022 IEEE Aerospace Conference (AERO), 1-15, 2022	26	2022
Empirical performance of the approximation of the least hypervolume contributor K Nowak, M Märtens, D Izzo Parallel Problem Solving from Nature–PPSN XIII: 13th International …, 2014	26	2014
Brain network clustering with information flow motifs M Märtens, J Meier, A Hillebrand, P Tewarie, P Van Mieghem Applied Network Science 2, 1-18, 2017	22	2017
esa/pagmo2: pagmo 2.9 F Biscani, D Izzo Zenodo, 2018	17	2018
Neural network architecture search with differentiable cartesian genetic programming for regression M Märtens, D Izzo Proceedings of the genetic and evolutionary computation conference companion …, 2019	9	2019
Motif-based analysis of effective connectivity in brain networks J Meier, M Märtens, A Hillebrand, P Tewarie, P Van Mieghem Complex Networks & Their Applications V: Proceedings of the 5th …, 2017	8	2017
GTOC8: results and methods of ESA advanced concepts team and JAXA-ISAS D Izzo, D Hennes, M Märtens, I Getzner, K Nowak, A Heffernan, ... arXiv preprint arXiv:1602.00849, 2016	7	2016
Symbolic regression on network properties M Märtens, F Kuipers, P Van Mieghem Genetic Programming: 20th European Conference, EuroGP 2017, Amsterdam, The …, 2017	6	2017

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