Cor J Veenman
Biographic Data
| ID | 1853304 |
|---|---|
| NAME | Cor J Veenman |
| GIVEN NAMES | Cor J |
| FAMILY NAME | Veenman |
| SIGNATURE | VEENMAN C J |
| AFFILIATIONS | Leiden University |
| ORCID | 0000-0002-2645-1198 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Supervised temporal link prediction in large-scale real-world networks
Link prediction is a well-studied technique for inferring the missing edges between two nodes in some static representation of a network. In modern day social networks, the timestamps associated with each link can be used to predict future links between so-far unconnected nodes. In these so-called temporal networks, we speak of temporal link prediction. This paper presents a systematic investigation of supervised temporal link prediction on 26 te…
Finding Dutch natives in online forums
Law enforcement agencies have a restricted area in which their powers apply, which is called their jurisdiction. These restrictions also apply to the Internet. However, on the Internet, the physical borders of the jurisdiction, typically country borders, are hard to discover. In our case, it is hard to establish whether someone involved in criminal online behavior is indeed a Dutch citizen. We propose a way to overcome the arduous task of manuall…
No prominent works on this page.
Finding Dutch natives in online forums
Law enforcement agencies have a restricted area in which their powers apply, which is called their jurisdiction. These restrictions also apply to the Internet. However, on the Internet, the physical borders of the jurisdiction, typically country borders, are hard to discover. In our case, it is hard to establish whether someone involved in criminal online behavior is indeed a Dutch citizen. We propose a way to overcome the arduous task of manuall…
Supervised temporal link prediction in large-scale real-world networks
Link prediction is a well-studied technique for inferring the missing edges between two nodes in some static representation of a network. In modern day social networks, the timestamps associated with each link can be used to predict future links between so-far unconnected nodes. In these so-called temporal networks, we speak of temporal link prediction. This paper presents a systematic investigation of supervised temporal link prediction on 26 te…
Artificial Intelligence (2 works) · Computer Science (2 works) · Machine learning (2 works) · Advanced Graph Neural Networks (1 work) · Authorship Attribution and Profiling (1 work) · Complex Network Analysis Techniques (1 work) · Data mining (1 work) · Enhanced Data Rates for GSM Evolution (1 work) · Internet privacy (1 work) · Jurisdiction (1 work)