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Meoni, G. (author), Märtens, Marcus (author), Derksen, Dawa (author), See, Kenneth (author), Lightheart, Toby (author), Sécher, Anthony (author), Martin, Arnaud (author), Rijlaarsdam, David (author), Fanizza, Vincenzo (author), Izzo, Dario (author)
While novel artificial intelligence and machine learning techniques are evolving and disrupting established terrestrial technologies at an unprecedented speed, their adaptation onboard satellites is seemingly lagging. A major hindrance in this regard is the need for high-quality annotated data for training such systems, which makes the...
journal article 2024
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Märtens, M. (author)
This thesis is a contribution to a deeper understanding of how information propagates and what this process entails. At its very core is the concept of the network: a collection of nodes and links, which describes the structure of the systems under investigation. The network is a mathematical model which allows to focus on a very fundamental...
doctoral thesis 2018
document
Kuipers, F.A. (author), Märtens, M. (author), van der Hoeven, Ernst (author), Iosup, A. (author)
Within the vast and rich field of online gaming, a new generation of Online Social Games (OSGs) is emerging that have in common a core of social interaction, sometimes explicit, other times implicit. This common core of social experience promises to become at least as important as the experience derived from the game-­‐world itself. In this...
book chapter 2018
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Märtens, M. (author), Meier, J.M. (author), Hillebrand, Arjan (author), Tewarie, Prejaas (author), Van Mieghem, P.F.A. (author)
Recent work has revealed frequency-dependent global patterns of information flow by a network analysis of magnetoencephalography data of the human brain. However, it is unknown which properties on a small subgraph-scale of those functional brain networks are dominant at different frequencies bands. Motifs are the building blocks of networks on...
journal article 2017
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Märtens, M. (author), Kuipers, F.A. (author), Van Mieghem, P.F.A. (author)
Networks are continuously growing in complexity, which creates challenges for determining their most important characteristics. While analytical bounds are often too conservative, the computational effort of algorithmic approaches does not scale well with network size. This work uses Cartesian Genetic Programming for symbolic regression to...
conference paper 2017
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Märtens, M. (author), Shen, S. (author), Iosup, A. (author), Kuipers, F.A. (author)
Social interactions in multiplayer online games are an essential feature for a growing number of players world-wide. However, this interaction between the players might lead to the emergence of undesired and unintended behavior, particularly if the game is designed to be highly competitive. Communication channels might be abused to harass and...
conference paper 2015
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