Zilverling

dr. J.W. Kamminga (Jacob)

Universitair docent
EEMCS-CS-PS
Zilverling
j.w.kamminga@utwente.nl
+31534894735
Visitekaartje

Expertises

  • Computer Science

    • Activity Recognition
    • Annotation
    • Classifier
    • Accuracy

  • Earth and Planetary Sciences

    • Artificial Intelligence
    • Netherlands
    • State of the Art
    • Real Time

Organisaties

Publicaties

2025

ARISE: A Dutch dataspace connecting nature and people (2025)In Moral Design and Green Technology (pp. 233-252). Brill. van Ommen Kloeke, E., Kissling, W. D., Evans, J., Huijbers, C., Kamminga, J. & Schouten, G.https://doi.org/10.3920/9789004730779_016

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

Onderzoeksprofielen

Vakken collegejaar 2025/2026

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 2024/2025

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