| 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), 80, 2021 | 14 | 2021 |
| 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 | 12 | 2020 |
| 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 | 5 | 2022 |
| 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 | 5 | 2018 |
| Python code for Chemical Attribution of Fentanyl M de Bruin-Hoegée, GJ de Bruin https://zenodo.org/record/6040127, 2022 | 4* | 2022 |
| 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 | 4 | 2018 |
| 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 | 3 | 2019 |
| Data-driven Risk Assessment in Infrastructure Networks A Pereira Barata, GJ de Bruin, FW Takes, CJ Veenman, van den Herik, ... ICTopen, 2018 | 2* | 2018 |
| Network analysis methods for smart inspection in the transport domain GJ de Bruin from https://hdl. handle. net/1887/3656981 Version: Publisher's Version …, 2023 | | 2023 |
| 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 |
| 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 |
| Thanks for the gold, kind stranger! Predicting the receipt of community recognition for social media comments By Koen Hagen F Takes, GJ de Bruin | | |
Cor VeenmanTNO, Leiden UniversityVerified email at liacs.leidenuniv.nl
