Marcus Märtens

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Dario IzzoScientist at the European Space AgencyVerified email at esa.int
Tae Ha ParkNara Space TechnologyVerified email at naraspace.com
Simone D'AmicoStanford UniversityVerified email at stanford.edu
Christian SohlerProfessor for Algorithmic Data Analysis, University of CologneVerified email at uni-koeln.de
Luís F. SimõesML AnalyticsVerified email at esa.int
Pan BinfengProfessor, Northwestern Polytechnical UniversityVerified email at nwpu.edu.cn
Gurvan LecuyerScientist, interdigitalVerified email at interdigital.com
Fernando KuipersProfessor, Delft University of TechnologyVerified email at tudelft.nl
Máté KisantalFounding ML Engineer @ Deligo, former YGT @ ESA Advanced Concepts TeamVerified email at deligovision.com
Daniel HennesResearch Scientist, Google DeepMindVerified email at google.com
Piet Van MieghemProfessor, Delft University of TechnologyVerified email at tudelft.nl
Alexandru IosupProfessor of Comp.Sci., VU University AmsterdamVerified email at vu.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
Bastian DegenerUniversity of PaderbornVerified email at upb.de
Sumant SharmaWisk Aero, LLCVerified email at alumni.stanford.edu
Siqi ShenXiamen UniversityVerified email at xmu.edu.cn
Tat-Jun ChinSmartSat CRC Professorial Chair of Sentient Satellites, The University of AdelaideVerified email at adelaide.edu.au

Marcus Märtens

Australian Institute of Machine Learning

Verified email at adelaide.edu.au - Homepage

Artificial Intelligence Complex Networks Computer Science Multi-objective 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	525	2012
A survey on artificial intelligence trends in spacecraft guidance dynamics and control D Izzo, M Märtens, B Pan Astrodynamics 3 (4), 287-299, 2019	293	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	248	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	141	2015
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	126	2022
Super-resolution of PROBA-V images using convolutional neural networks M Märtens, D Izzo, A Krzic, D Cox Astrodynamics 3, 387-402, 2019	95	2019
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	68	2016
A new approach for analyzing convergence algorithms for mobile robots A Cord-Landwehr, B Degener, M Fischer, M Hüllmann, B Kempkes, ... International Colloquium on Automata, Languages, and Programming, 650-661, 2011	57	2011
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	57	2011
The Kessler run: On the design of the GTOC9 challenge D Izzo, M Märtens Acta Futura 11 (1), 11-24, 2018	55	2018
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	55	2013
Satellite pose estimation competition 2021: Results and analyses TH Park, M Märtens, M Jawaid, Z Wang, B Chen, TJ Chin, D Izzo, ... Acta Astronautica 204, 640-665, 2023	53	2023
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	45	2013
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	41	2019
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	23	2017
esa/pagmo2: pagmo 2.9 F Biscani, D Izzo Zenodo, 2018	21	2018
Next generation spacecraft pose estimation dataset (SPEED+) TH Park, M Märtens, G Lecuyer, D Izzo, S D’Amico Zenodo, October, 2021	19	2021
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	12	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	11	2017

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