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Gerrit Jan de Bruin
Gerrit Jan de Bruin
PhD-candidate, Leiden University
Verified email at liacs.leidenuniv.nl - Homepage
Title
Cited by
Cited by
Year
Understanding behavioral patterns in truck co-driving networks
GJ de Bruin, CJ Veenman, HJ van den Herik, FW Takes
International Conference on Complex Networks and their Applications, 223-235, 2018
42018
Python code for Chemical Attribution of Fentanyl
M de Bruin-Hoegée, GJ de Bruin
https://zenodo.org/record/6040127, 2022
2*2022
Supervised temporal link prediction in large-scale real-world networks
GJ de Bruin, CJ Veenman, HJ van den Herik, FW Takes
Social Network Analysis and Mining 11 (1), 1-16, 2021
22021
Experimental evaluation of train and test split strategies in link prediction
GJ de Bruin, CJ Veenman, HJ van den Herik, FW Takes
International Conference on Complex Networks and Their Applications, 79-91, 2020
22020
Understanding dynamics of truck co-driving networks
GJ de Bruin, CJ Veenman, HJ van den Herik, FW Takes
International Conference on Complex Networks and Their Applications, 140-151, 2019
22019
Finding anomalies in waste transportation data with supervised category models
A Pereira Barata, GJ de Bruin, FW Takes, CJ Veenman, HJ van den Herik
BeNeLearn, 2018
2*2018
Fair automated assessment of noncompliance in cargo ship networks
GJ de Bruin, AP Barata, HJ van den Herik, FW Takes, CJ Veenman
EPJ Data Science 11 (1), 13, 2022
2022
Detection of suspicious behaviour from ship transponder data
M Bosch
https://theses.liacs.nl/, 2019
2019
Data-driven Prediction and Visualization of Rheumatoid Arthritis Flares
H van Sonsbeek
https://theses.liacs.nl/, 2018
2018
Data-driven Risk Assessment in Infrastructure Networks
A Pereira Barata, GJ de Bruin, FW Takes, CJ Veenman, van den Herik, ...
ICTopen, 2018
2018
Efficient compliancy monitoring: Comparison of both airborne and landside sniffing and spectrometric methods to provide direct control on the sulfur emission of ships.
GJ de Bruin
2017
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Articles 1–11