David M. Burns

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 9

Top Topics

Single Modality

Activity Recognition

Human Activity Recognition

Top Venues

Int. J. Comput. Assist. Radiol. Surg.

J. Mach. Learn. Res.

Publications

Colin Arrowsmith, David M. Burns, Thomas Mak, Michael R. Hardisty, Cari M. Whyne
Physiotherapy Exercise Classification with Single-Camera Pose Detection and Machine Learning. Sensors 23 (1) (2023)
Kevin Kasa, David M. Burns, Mitchell G. Goldenberg, Omar Selim, Cari M. Whyne, Michael R. Hardisty
Multi-Modal Deep Learning for Assessing Surgeon Technical Skill. Sensors 22 (19) (2022)
David M. Burns, Philip Boyer, Colin Arrowsmith, Cari M. Whyne
Personalized Activity Recognition with Deep Triplet Embeddings. Sensors 22 (14) (2022)
Adam Hopfgartner, David M. Burns, Suganth Suppiah, Allan R. Martin, Michael R. Hardisty, Cari M. Whyne
Bullseye EVD: preclinical evaluation of an intra-procedural system to confirm external ventricular drainage catheter positioning. Int. J. Comput. Assist. Radiol. Surg. 17 (7) (2022)
Philip Boyer, David M. Burns, Cari M. Whyne
Out-of-Distribution Detection of Human Activity Recognition with Smartwatch Inertial Sensors. Sensors 21 (5) (2021)
David M. Burns, Cari M. Whyne
Personalized Activity Recognition with Deep Triplet Embeddings. CoRR (2020)
David M. Burns, Cari M. Whyne
Seglearn: A Python Package for Learning Sequences and Time Series. CoRR (2018)
David M. Burns, Cari M. Whyne
Seglearn: A Python Package for Learning Sequences and Time Series. J. Mach. Learn. Res. 19 (2018)
David M. Burns, Nathan Leung, Michael R. Hardisty, Cari M. Whyne, Patrick Henry, Stewart McLachlin
Shoulder Physiotherapy Exercise Recognition: Machine Learning the Inertial Signals from a Smartwatch. CoRR (2018)