Zilverling

dr. J.W. Kamminga (Jacob)

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

Expertises

  • Computer Science

    • Activity Recognition
    • Classifier
    • Accuracy
    • Annotation

  • Earth and Planetary Sciences

    • Recognition
    • Detection
    • Biodiversity

  • Physics

    • Acoustics

Organisaties

Publicaties

2024

COOD: 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.2403.06874

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

Scan de QR-code of
Download vCard