| Poaching detection technologies—a survey J Kamminga, E Ayele, N Meratnia, P Havinga Sensors 18 (5), 1474, 2018 | 74 | 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 | 59 | 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 | 47 | 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 | 16 | 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 |
| 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 |
| 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 | 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 | 5 | 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 |
| 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 |
| 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 | | 2024 |
| Improving the Annotation Efficiency for Animal Activity Recognition using Active Learning SJ Spink, JW Kamminga, A Kamilaris Measuring Behavior 2022, 2022 | | 2022 |
| 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 / TNO在 utwente.nl 的电子邮件经过验证
