Conveners
Invited session: 3
- Markus Pauly (TU Dortmund University)
When creating multi-channel time-series datasets for Human Activity Recognition (HAR), researchers are faced with the issue of subject selection criteria. It is unknown what physical characteristics and/or soft biometrics, such as age, height, and weight, must be considered to train a classifier to achieve robustness toward heterogeneous populations in the training and testing data. This...
Automated guided vehicles (AGVs) are an essential
area of research for the industry to enable dynamic transport
operations. Furthermore, AGV-based multi-robot systems (MRS)
are being utilized in various applications, e.g. in production or in
logistics. Most research today focuses on ensuring that the system
is operational, which is not always achieved. In daily use, faults
and failures...
In the evolving landscape of machine learning research, theconcept of trustworthiness receives critical consideration, both concern-ing data and models. However, the lack of a universally agreed upondefinition of the very concept of trustworthiness presents a considerablechallenge. The lack of such a definition impedes meaningful exchange andcomparison of results when it comes to assessing...