Bruin G.J. de, Veenman C.J., Herik H.J. van den & Takes F.W. (2018), Understanding Behavioral Patterns in Truck Co-Driving Networks. In: Aiello L.M., Cherifi C., Cherifi, H., Lambiotte, R., LiĆ³, P., Rocha L.M. (red.) Complex Networks and Their Applications VII. nr. SCI 813 Cham: Springer. 223-235.

Pereira Barata A., Bruin G. de, Takes F., Veenman C. & Herik J. van den (2018), Finding anomalies in waste transportation data with supervised category models. In: BNAIC 2018 Proceedings.: BNAIC.

Jacobusse G. & Veenman C.J. (2016), On Selection Bias with Imbalanced Classes. In: Calders T., Ceci M., Malerba D. (red.) Proceedings 19th International Conference on Discovery Science (DS 2016). nr. LNCS 9956 Cham: Springer. 325-340.

Custers B.H.M., Herik H.J. van den, Laat C.T.A.M. de, Rademaker M. & Veenman C.J. (2017), Enabling Big Data Applications for Security: Responsible by Design. Den Haag: The Hague Security Delta.


Cor Veenman is senior scientist data science at the Data Science department at TNO, The Hague. He received his MSc degree in computer science/AI from the Free University in Amsterdam and his PhD from the Delft University of Technology in Data Science and Computer Vision. From 2005 he was assistant professor in computational forensic science at the University of Amsterdam (UvA), where he shaped the collaboration of the Netherlands Forensic Institute (NFI) and the UvA on data science and biometrics. Then, for almost 10 years he developed data science projects for the public safety and security sector at the NFI and coordinated the scientific research. Since 2015, Veenman holds a position at Leiden University (LIACS) on Accountable Data Science. Recently, Veenman moved to TNO, where he is the scientific lead of Responsible Data Analytics.

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