| 2020 | CHI | Head-Coupled Kinematic Template Matching for Target Selection in Hangry Piggos. | Rorik Henrikson, Daniel Clarke, Thomas White, Frances Lai, Michael Glueck, Stephanie Santosa, Daniel Wigdor, Tovi Grossman, Sean Trowbridge, Hrvoje Benko |
| 2019 | FUSION | An Information Theoretic Approach for Assessing the Performance of Vehicle Kinematic Tracking. | Daniel Clarke, Dennis Bruggner |
| 2018 | IJCNN | A comparison of models to predict medical procedure costs from open public healthcare data. | A. Ravishankar Rao, Daniel Clarke |
| 2017 | FUSION | Graph based vehicle infrastructure cooperative localization. | Dhiraj Gulati, Feihu Zhang, Daniel Malovetz, Daniel Clarke, Gereon Hinz, Alois C. Knoll |
| 2017 | FUSION | Robust cooperative localization in a dynamic environment using factor graphs and probability data association filter. | Dhiraj Gulati, Feihu Zhang, Daniel Malovetz, Daniel Clarke, Alois C. Knoll |
| 2017 | FUSION | Feature uncertainty estimation in sensor fusion applied to autonomous vehicle location. | Clara Marina Martinez, Feihu Zhang, Daniel Clarke, Gereon Hinz, Dongpu Cao |
| 2016 | FUSION | Minimum information loss fusion in distributed sensor networks. | Daniel Clarke |
| 2014 | ECCV | Multi-modality Gesture Detection and Recognition with Un-supervision, Randomization and Discrimination. | Guang Chen, Daniel Clarke, Manuel Giuliani, Andre Gaschler, Di Wu, David Weikersdorfer, Alois C. Knoll |
| 2014 | ICRA | Action recognition using ensemble weighted multi-instance learning. | Guang Chen, Manuel Giuliani, Daniel Clarke, Andre Gaschler, Alois C. Knoll |
| 2013 | ICMLA | Learning to Track Multi-target Online by Boosting and Scene Layout. | Guang Chen, Feihu Zhang, Daniel Clarke, Alois C. Knoll |