Expertises
Computer Science
- Activity Recognition
- Annotation
- Classifier
- Accuracy
- Active Learning
Earth and Planetary Sciences
- State of the Art
- Recognition
- Detection
Organisaties
Publicaties
2024
M-MOVE-IT: Multimodal Machine Observation and Video-Enhanced Integration Tool for Data Annotation (2024)In UbiComp Companion 2024 - Companion of the 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 911-915). Association for Computing Machinery. Kamminga, J., van der Duim, R. & ten Hove, E.https://doi.org/10.1145/3675094.3678479COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification (2024)In Proceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024 (pp. 3971-3980) (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops). IEEE. Hogeweg, L. E., Gangireddy, R., Brunink, D., Kalkman, V. J., Cornelissen, L. & Kamminga, J. W.https://doi.org/10.1109/CVPRW63382.2024.00401COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification (2024)[Working paper › Preprint]. ArXiv.org. Hogeweg, L., Gangireddy, R., Brunink, D., Kalkman, V., Cornelissen, L. & Kamminga, J. W.https://doi.org/10.48550/arXiv.2403.06874M-MOVE-IT: Multimodal Machine Observation and Video-Enhanced Integration Tool for Data Annotation (2024)[Non-textual form › Software]. GitHub. Kamminga, J. W.https://github.com/AI-Sensus/M-MOVE-IT
2022
ARISE: Building an infrastructure for species recognition and biodiversity monitoring in the Netherlands (2022)[Contribution to conference › Abstract] Biodiversity Information Standards, TDWG 2022. van Ommen Kloeke, E., Huijbers, C., Beentjes, K., Kamminga, J. W., Bakker, P. A. J. & Kissling, W. D.https://doi.org/10.3897/biss.6.93613Improving the Annotation Efficiency for Animal Activity Recognition using Active Learning (2022)In Measuring Behavior 2022: 12th International Conference on Methods and Techniques in Behavioral Research, and 6th Seminar on Behavioral Methods (pp. 51-58). Spink, S., Kamminga, J. W. & Kamilaris, A.https://doi.org/10.6084/m9.figshare.20066849
2021
Counting sea lions and elephants from aerial photography using deep learning with density maps (2021)Animal Biotelemetry, 9(1), 1-10. Article 27. Padubidri, C., Kamilaris, A., Karatsiolis, S. & Kamminga, J.https://doi.org/10.1186/s40317-021-00247-x
2020
Hiding in the Deep: Online Animal Activity Recognition using Motion Sensors and Machine Learning (2020)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Kamminga, J. W.https://doi.org/10.3990/1.9789036550550Towards Deep Unsupervised Representation Learning from Accelerometer Time Series for Animal Activity Recognition (2020)[Contribution to conference › Paper] 6th Workshop on Mining and Learning from Time Series, MiLeTS 2020. Kamminga, J. W., Meratnia, N., Le, D. V. & Havinga, P. J. M.
Onderzoeksprofielen
Vakken collegejaar 2024/2025
Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.
Vakken collegejaar 2023/2024
Adres

Universiteit Twente
Zilverling
Postbus 217
7500 AE Enschede