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prof.dr. J.N. Kok (Joost)

Dean

About Me

My research is concentrated around data. My main research themes are data science and artificial intelligence . My main application areas are currently in Health, Sports & Movement, Biodiversity and Citizen Science.

Expertise

Mathematics
Clustering
Concept Drift
Data Distribution
Data Management
Data Streams
Novelty Detection
Engineering & Materials Science
Data Streams
Reusability

Ancillary Activities

  • Stichting Neurale Netwerken
    Bestuurslid
  • Wetenschapscommissie Nationale Sportraad
    Lid
  • Nederlands eScience Center
    Bestuurslid
  • Netherlands Forensic Institue
    Scientific Advisor

Publications

Recent
Eichengreen, A., Tsou, Y.-T., Nasri, M., van Klaveren, L.-M., Li, B., Koutamanis, A. , Baratchi, M., Blijd-Hoogewys, E. , Kok, J., & Rieffe, C. (2023). Social connectedness at the playground before and after COVID-19 school closure. Journal of applied developmental psychology, 87, Article 101562. https://doi.org/10.1016/j.appdev.2023.101562
Dearo Garcia, K. (2021). Unsupervised learning approaches for non-stationary data streams. [PhD Thesis - Research UT, graduation UT, University of Twente]. University of Twente. https://doi.org/10.3990/1.9789036551601
Dearo Garcia, K. , Rebelo de Sá, C. , Poel, M., Carvalho, T., Mendes-Moreira, J., Cardoso, J. M. P., de Carvalho, A. C. P. L. F. , & Kok, J. N. (2021). An Ensemble of Autonomous Auto-Encoders for Human Activity Recognition. Neurocomputing, 439, 271-280. https://doi.org/10.1016/j.neucom.2020.01.125
Garcia, K. D., de Faria, E. R. , de Sá, C. R., Mendes-Moreira, J., Aggarwal, C. C., de Carvalho, A. C. P. L. F. , & Kok, J. N. (2019). Ensemble Clustering for Novelty Detection in Data Streams. In P. Kralj Novak, S. Džeroski, & T. Šmuc (Eds.), Discovery Science : 22nd International Conference, DS 2019, Splitm, Croatia, October 28-30, 2019. Proceedings (pp. 460-470). (Lecture Notes in Artificial Intelligence; subseries of Lecture Notes in Computer Science; Vol. 11828 LNAI). Springer. https://doi.org/10.1007/978-3-030-33778-0_34
Garcia, K. D. , Poel, M. , Kok, J. N., & de Carvalho, A. C. P. L. F. (2019). Online Clustering for Novelty Detection and Concept Drift in Data Streams. In P. Moura Oliveira, P. Novais, & L. P. Reis (Eds.), Progress in Artificial Intelligence: 19th EPIA Conference on Artificial Intelligence, EPIA 2019, Vila Real, Portugal, September 3–6, 2019, Proceedings (pp. 448-459). (Lecture Notes in Computer Science; Vol. 11805), (Lecture Notes in Artificial Intelligence), (Lecture Notes in Bioinformatics). Springer. https://doi.org/10.1007/978-3-030-30244-3_37

UT Research Information System

Google Scholar Link

Contact Details

Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (building no. 11), room 1070
Hallenweg 19
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling  1070
P.O. Box 217
7500 AE Enschede
The Netherlands