Projects

Publications

Refereed

Gerrit Jan de Bruin, António Peirera Barata, Hendrik J. van den Herik, Frank W. Takes, Cor J. Veenman, Fair automated assessment of noncompliance in cargo ship networks, EPJ Data Science 11, 13 (2022).

Gerrit Jan de Bruin, Cor J. Veenman, Hendrik J. van den Herik, Frank W. Takes, Supervised temporal link prediction in large-scale real-world networks, Social Network Analysis and Mining 11, 80 (2021).

Gerrit Jan de Bruin, Cor J. Veenman, Hendrik J. van den Herik, Frank W. Takes, Experimental Evaluation of Train and Test Split Strategies in Link Prediction, in Proceedings of the 9th International Conference on Complex Networks, Studies in Computational Intelligence 994, pp. 79-91, Springer, 2020.

Gerrit Jan de Bruin, Cor J. Veenman, Hendrik J. van den Herik, Frank W. Takes, Understanding Dynamics of Truck Co-Driving Networks, in Proceedings of the 8th International Conference on Complex Networks, Studies in Computational Intelligence 882, pp. 140-151, Springer, 2019.

Gerrit Jan de Bruin, Cor J. Veenman, Hendrik J. van den Herik, Frank W. Takes, Understanding Behavioral Patterns in Truck Co-driving Networks, in Proceedings of the 7th International Conference on Complex Networks, Studies in Computational Intelligence 813, pp. 223-235, Springer, 2018.

António Pereira Barata, Gerrit Jan de Bruin, Cor J. Veenman, Hendrik J. van den Herik, Frank W. Takes, Finding Anomalies in Waste Transportation Data with Supervised Category Models, in Proceedings of the 27th Belgian Dutch Conference on Machine Learning, 15 pages, 2018.

Non-Refereed

Gerrit Jan de Bruin, , Cor J. Veenman, Hendrik J. van den Herik, Frank W. Takes, Understanding truck co-driving behaviour using network analysis, IC²S², extended abstract, 2019.

António Pereira Barata, Gerrit Jan de Bruin, Frank W. Takes, Cor J. Veenman, Data-driven Risk Assessment in Infrastructure Networks, ICTOPEN, extended abstract, 2018.

Conference contributions

I chaired a session at MISDOOM 2020, and I assisted as a technical chair at BNAIC/BENELEARN 2020. Additionally, I have reviewed in total twelve papers for the following conferences.

Code contributions

de Bruin-Hoegée, J.M., de Bruin, G.J., Python code for Chemical Attribution of Fentanyl, used in:

Mirjam de Bruin-Hoegée, Djarah Kleiweg, Daan Noort, Arian C. van Asten, Chemical attribution of fentanyl: The effect of human metabolism, Forensic Chemistry, 100330, Elsevier, 2021.

Student supervision

MSc

2020

Nathalie van Veen, The complex network of ship movements in Europe

BSc

2019

Michael Bosch, Detection of suspicious behaviour from ship transponder data

2018

Heleen van Sonsbeek, Data-driven prediction and visualization of rheumatoid arthritis flares

I'm Gerrit-Jan