| Poaching detection technologies—a survey J Kamminga, E Ayele, N Meratnia, P Havinga Sensors 18 (5), 1474, 2018 | 77 | 2018 |
| 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 Ubiquitous …, 2018 | 64 | 2018 |
| 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 and …, 2017 | 51 | 2017 |
| 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), 27, 2021 | 20 | 2021 |
| Horsing around—A dataset comprising horse movement JW Kamminga, LM Janßen, N Meratnia, PJM Havinga Data 4 (4), 131, 2019 | 17 | 2019 |
| 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 | 11 | 2019 |
| Towards deep unsupervised representation learning from accelerometer time series for animal activity recognition JW Kamminga, N Meratnia, DV Le, PJM Havinga 6th Workshop on Mining and Learning from Time Series, MiLeTS 2020, 2020 | 8 | 2020 |
| Nondeterministic sound source localization with smartphones in crowdsensing DV Le, JW Kamminga, H Scholten, PJM Havinga 2016 IEEE International Conference on Pervasive Computing and Communication …, 2016 | 8 | 2016 |
| Hiding in the deep: Online animal activity recognition using motion sensors and machine learning JW Kamminga | 7 | 2020 |
| 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 | 6 | 2019 |
| Error bounds for localization with noise diversity DV Le, JW Kamminga, H Scholten, PJM Havinga 2016 International Conference on Distributed Computing in Sensor Systems …, 2016 | 5 | 2016 |
| ARISE: Building an infrastructure for species recognition and biodiversity monitoring in the Netherlands E van Ommen Kloeke, C Huijbers, K Beentjes, J Kamminga, P Bakker, ... Biodiversity Information Science and Standards, 2022 | 3 | 2022 |
| Ambient sound-based collaborative localization of indeterministic devices J Kamminga, D Le, P Havinga Sensors 16 (9), 1478, 2016 | 3 | 2016 |
| COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification LE Hogeweg, R Gangireddy, D Brunink, VJ Kalkman, L Cornelissen, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
| Improving the Annotation Efficiency for Animal Activity Recognition using Active Learning S Spink, JW Kamminga, A Kamilaris 12th International Conference on Methods and Techniques in Behavioral …, 2022 | 1 | 2022 |
| Dataset: Multi Sensor-Orientation Movement Data of Goats JW Kamminga | 1 | 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 Communications …, 2018 | 1 | 2018 |
| Multi Sensor-Orientation Movement Data of Goats JW Kamminga | | 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 |
Paul Havingaprofessor of Computer Science, University of Twente / TNOVerified email at utwente.nl
