Activity recognition through interactive machine learning in a dynamic sensor setting
The advances in Internet of things lead to an increased number of devices generating and
streaming data. These devices can be useful data sources for activity recognition by using …
streaming data. These devices can be useful data sources for activity recognition by using …
Interactive machine learning for multimodal affective computing
R Titung - 2022 10th International Conference on Affective …, 2022 - ieeexplore.ieee.org
Affective computing [1] is an expanding field that is taking on new forms with the
development of more powerful computing devices and better modality fusion techniques …
development of more powerful computing devices and better modality fusion techniques …
[PDF][PDF] Distributed and Adaptive Edge-based AI Models for Sensor Networks (DAISeN).
This position paper describes the aims and preliminary results of the Distributed and
Adaptive Edge-based AI Models for Sensor Networks (DAISeN) 1 project. The project …
Adaptive Edge-based AI Models for Sensor Networks (DAISeN) 1 project. The project …
Teaching interactively to learn emotions in natural language
Motivated by prior literature, we provide a proof of concept simulation study for an
understudied interactive machine learning method, machine teaching (MT), for the text …
understudied interactive machine learning method, machine teaching (MT), for the text …