Fair automated assessment of noncompliance in cargo ship networks

Autor: Bruin, G.J. de, Pereira Barata, A., Herik, H.J. van den, Takes, F.W., Veenman, C.J.

Publikováno v: EPJ Data Science, 11:13. Springer Science and Business Media LLC

Cargo ships navigating global waters are required to be sufficiently safe and compliant with international treaties. Governmental inspectorates currently assess in a rule-based manner whether a ship is potentially noncompliant and thus needs inspecti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eae578878cc2fce9ac8c4a1c9a41dbf8
https://hdl.handle.net/1887/3515265

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Experimental evaluation of train and test split strategies in link prediction

Autor: Bruin, G.J. de, Veenman, C.J., Herik, H.J. van den, Takes, F.W., Benito, R.M., Cherifi, C., Cherifi, H., Moro, E., Rocha, L.M., Sales-Pardo, M.

Publikováno v: Complex networks & their applications IX, 79-91. Cham: Springer
STARTPAGE=79;ENDPAGE=91;TITLE=Complex networks & their applications IX

In link prediction, the goal is to predict which links will appear in the future of an evolving network. To estimate the performance of these models in a supervised machine learning model, disjoint and independent train and test sets are needed. Howe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::04f0b03566ab4b36cba65a675a879c66
https://hdl.handle.net/1887/3243035

Understanding Dynamics of Truck Co-Driving Networks

Autor: Bruin, G.J. de, Veenman, C.J., Herik, H.J. van den, Takes, F.W., Cherifi, H., Gaito, S., Fernendo, Mendes J., Moro, E., Mateus, Rocha L.

Publikováno v: Studies in Computational Intelligence, 8th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2019, 10 December 2019 through 12 December 2019, 140-151
Complex Networks and Their Applications VIII Complex Networks 2019, 140-151. Cham: Springer
STARTPAGE=140;ENDPAGE=151;TITLE=Complex Networks and Their Applications VIII Complex Networks 2019

The goal of this paper is to learn the dynamics of truck co-driving behaviour. Understanding this behaviour is important because co-driving has a potential positive impact on the environment. In the so-called co-driving network, trucks are nodes whil

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3768daa30bd3bd74525b29d1e417789b
http://resolver.tudelft.nl/uuid:166ee684-a410-400a-b5df-3edca69b0307

Understanding behavorial patterns in truck co-driving networks

Autor: de Bruin, G.J., Veenman, C.J., van den Herik, H.J., Takes, F.W., Aiello, L.M., Cherifi, C., Cherifi, H., Lambiotte, R., Lió, P., Rocha, L.M.

Publikováno v: Complex Networks and Their Applications VII: Proceedings The 7th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2018, 2, 223-235
Studies in Computational Intelligence ISBN: 9783030054137
COMPLEX NETWORKS (2)

This paper examines the co-driving behavior of truck drivers using network analysis. From a unique spatiotemporal dataset encompassing more than 10 million measurements of trucks passing 17 different highway locations in the Netherlands, we extract a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1aedbd070244f1a1fe1cffab93291cdb
https://dare.uva.nl/personal/pure/en/publications/understanding-behavorial-patterns-in-truck-codriving-networks(8d3a250e-a783-47a8-a28f-0ceace511422).html