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Jacob Kamminga
Jacob Kamminga
Verified email at utwente.nl - Homepage
Title
Cited by
Cited by
Year
Poaching detection technologies—a survey
J Kamminga, E Ayele, N Meratnia, P Havinga
Sensors 18 (5), 1474, 2018
502018
Robust sensor-orientation-independent feature selection for animal activity recognition on collar tags
JW Kamminga, DV Le, JP Meijers, H Bisby, N Meratnia, PJM Havinga
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitousá…, 2018
382018
Generic online animal activity recognition on collar tags
JW Kamminga, HC Bisby, DV Le, N Meratnia, PJM Havinga
Proceedings of the 2017 ACM International Joint Conference on Pervasive andá…, 2017
332017
Dataset: Horse movement data and analysis of its potential for activity recognition
JW Kamminga, N Meratnia, PJM Havinga
Proceedings of the 2nd Workshop on Data Acquisition To Analysis, 22-25, 2019
82019
Horsing around—A dataset comprising horse movement
JW Kamminga, LM Jan▀en, N Meratnia, PJM Havinga
Data 4 (4), 131, 2019
72019
Nondeterministic sound source localization with smartphones in crowdsensing
DV Le, JW Kamminga, H Scholten, PJM Havinga
2016 IEEE International Conference on Pervasive Computing and Communicationá…, 2016
72016
Error bounds for localization with noise diversity
DV Le, JW Kamminga, H Scholten, PJM Havinga
2016 International Conference on Distributed Computing in Sensor Systemsá…, 2016
52016
Counting sea lions and elephants from aerial photography using deep learning with density maps
C Padubidri, A Kamilaris, S Karatsiolis, J Kamminga
Animal Biotelemetry 9 (1), 1-10, 2021
32021
Hiding in the deep: online animal activity recognition using motion sensors and machine learning
JW Kamminga
32020
Synchronization between Sensors and Cameras in Movement Data Labeling Frameworks
JW Kamminga, M Jones, K Seppi, N Meratnia, PJM Havinga
Proceedings of the 2nd Workshop on Data Acquisition To Analysis, 37-39, 2019
32019
Towards deep unsupervised representation learning from accelerometer time series for animal activity recognition
JW Kamminga, DV Le, PJM Havinga
Proceedings of the 6th Workshop on Mining and Learning from Time Series, MiLeTS, 2020
22020
Ambient sound-based collaborative localization of indeterministic devices
J Kamminga, D Le, P Havinga
Sensors 16 (9), 1478, 2016
22016
Dataset: Multi Sensor-Orientation Movement Data of Goats
JW Kamminga
12018
Multi Sensor-Orientation Movement Data of Goats
JW Kamminga
2018
A Framework to Measure Reliance of Acoustic Latency on Smartphone Status
DV Le, J Kamminga, H Scholten, PJM Havinga
2018 IEEE International Conference on Pervasive Computing and Communicationsá…, 2018
2018
Counting Sea Lions from Aerial Photography using Deep Learning with Density Maps
CP PADUBIDRI, A KAMILARIS, S KARATSIOLIS, J KAMMINGA
2018
Dataset: Generic Online Animal Activity Recognition On Collar Tags
JW Kamminga
2017
Nondeterministic Sound Source Localization with Smartphones in Crowdsensing
DV Le Viet Duc, JW Kamminga, J Scholten, PJM Havinga
IEEE Computer Society, 2016
2016
The Rhino Project
JW Kamminga, PJM Havinga, N Meratnia
ICT. OPEN 2016, 2016
2016
Cooperative Localisation on Android Devices by Utilising only Environmental Sound
JW Kamminga
University of Twente, 2015
2015
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