Kalabakov, S.; Stankoski, S.; Kiprijanovska, I.; Andova, A.; Reščič, N.; Janko, V.; Gjoreski, M.; Gams, M.; Luštrek, M.
What Actually Works for Activity Recognition in Scenarios with Significant Domain Shift: Lessons Learned from the 2019 and 2020 Sussex-Huawei Challenges. Sensors 2022, 22, 3613.
https://doi.org/10.3390/s22103613
AMA Style
Kalabakov S, Stankoski S, Kiprijanovska I, Andova A, Reščič N, Janko V, Gjoreski M, Gams M, Luštrek M.
What Actually Works for Activity Recognition in Scenarios with Significant Domain Shift: Lessons Learned from the 2019 and 2020 Sussex-Huawei Challenges. Sensors. 2022; 22(10):3613.
https://doi.org/10.3390/s22103613
Chicago/Turabian Style
Kalabakov, Stefan, Simon Stankoski, Ivana Kiprijanovska, Andrejaana Andova, Nina Reščič, Vito Janko, Martin Gjoreski, Matjaž Gams, and Mitja Luštrek.
2022. "What Actually Works for Activity Recognition in Scenarios with Significant Domain Shift: Lessons Learned from the 2019 and 2020 Sussex-Huawei Challenges" Sensors 22, no. 10: 3613.
https://doi.org/10.3390/s22103613
APA Style
Kalabakov, S., Stankoski, S., Kiprijanovska, I., Andova, A., Reščič, N., Janko, V., Gjoreski, M., Gams, M., & Luštrek, M.
(2022). What Actually Works for Activity Recognition in Scenarios with Significant Domain Shift: Lessons Learned from the 2019 and 2020 Sussex-Huawei Challenges. Sensors, 22(10), 3613.
https://doi.org/10.3390/s22103613