| 2024 | CVPR | COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification. | Laurens E. Hogeweg, Rajesh Gangireddy, Django Brunink, Vincent J. Kalkman, Ludo Cornelissen, Jacob W. Kamminga |
| 2024 | HIC | M-MOVE-IT: Multimodal Machine Observation and Video-Enhanced Integration Tool for Data Annotation. | Jacob W. Kamminga, Rob van der Duim, Erik ten Hove |
| 2019 | SENSYS | Synchronization between Sensors and Cameras in Movement Data Labeling Frameworks. | Jacob W. Kamminga, Michael D. Jones, Kevin D. Seppi, Nirvana Meratnia, Paul J. M. Havinga |
| 2019 | SENSYS | Dataset: Horse Movement Data and Analysis of its Potential for Activity Recognition. | Jacob W. Kamminga, Nirvana Meratnia, Paul J. M. Havinga |
| 2018 | PERCOM | A Framework to Measure Reliance of Acoustic Latency on Smartphone Status. | Duc Viet Le, Jacob W. Kamminga, Hans Scholten, Paul J. M. Havinga |
| 2016 | DCOSS | Error Bounds for Localization with Noise Diversity. | Duc Viet Le, Jacob W. Kamminga, Hans Scholten, Paul J. M. Havinga |
| 2016 | PERCOM | Nondeterministic sound source localization with smartphones in crowdsensing. | Duc Viet Le, Jacob W. Kamminga, Hans Scholten, Paul J. M. Havinga |