Mixture of basis for interpretable continual learning with distribution shifts
Continual learning in environments with shifting data distributions is a challenging problem
with several real-world applications. In this paper we consider settings in which the data …
with several real-world applications. In this paper we consider settings in which the data …
Mixture of basis for interpretable continual learning with distribution shifts
Continual learning in environments with shifting data distributions is a challenging problem
with several real-world applications. In this paper we consider settings in which the data …
with several real-world applications. In this paper we consider settings in which the data …
A Comprehensive “Real-World Constraints”-Aware Requirements Engineering Related Assessment and a Critical State-of-the-Art Review of the Monitoring of Humans …
K Kyamakya, V Tavakkoli, S McClatchie, M Arbeiter… - Sensors, 2022 - mdpi.com
Currently, abnormality detection and/or prediction is a very hot topic. In this paper, we
addressed it in the frame of activity monitoring of a human in bed. This paper presents a …
addressed it in the frame of activity monitoring of a human in bed. This paper presents a …