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ir. F.F. de Wit (Florens)

Researcher

Expertise

Medicine & Life Sciences
Deep Learning
Facial Recognition
Machine Learning
Arts & Humanities
Methodology
Roman Emperor
Engineering & Materials Science
Benchmarking
Composite Materials
Face Recognition

Publications

Recent
Ramesh, D. S., Heijnen, S., Hekster, O. , Spreeuwers, L. , & de Wit, F. (2022). Facial recognition as a tool to identify Roman emperors: towards a new methodology. Humanities and Social Sciences Communications, 9(1), [78]. https://doi.org/10.1057/s41599-022-01090-y
Raja, K., Ferrara, M., Franco, A. , Spreeuwers, L. , Batskos, I. , de Wit, F. F., Gomez-Barrero, M., Scherhag, U., Fischer, D., Venkatesh, S., Mohan Singh, J., Ramachandra, R., Rathgeb, C., Frings, D., Seidel, U., Knopjes, F. , Veldhuis, R. N. J., Maltoni, D., & Busch, C. (2021). Morphing Attack Detection - Database, Evaluation Platform and Benchmarking. IEEE transactions on information forensics and security, 16, 4336-4351. https://doi.org/10.1109/TIFS.2020.3035252, https://doi.org/10.1109/TIFS.2020.3035252

UT Research Information System

Contact Details

Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (building no. 11), room 4057
Hallenweg 19
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling  4057
P.O. Box 217
7500 AE Enschede
The Netherlands

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