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
Organisations
Ancillary Activities
-
Stichting Neurale Netwerken
Bestuurslid -
Wetenschapscommissie Nationale Sportraad
Lid -
Nederlands eScience Center
Bestuurslid -
Springer Nature
Editor-in-Chief tijdschrift Natural Computing -
Netherlands Forensic Institue
Scientific Advisor
Publications
Recent
Scheltinga, B. L.
, Kok, J. N.
, Buurke, J. H.
, & Reenalda, J. (2023).
Estimating 3D ground reaction forces in running using three inertial measurement units.
Frontiers in Sports and Active Living,
5, [1176466].
https://doi.org/10.3389/fspor.2023.1176466
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
Courses Academic Year 2023/2024
Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
Courses Academic Year 2022/2023
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
Mailing Address
University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
1070
P.O. Box 217
7500 AE Enschede
The Netherlands